STROBE Survey
#Setup: Install and Load Packages This RMarkdown file contains all of the quantitative analysis performed on the survey dataset. For any questions, please contact melissaksharp@gmail.com
##Install and load packages Notes: An error was encountered when initially installing BDGraph. If you encounter the same error, you can add it manually in R Studio (via Tools). Also, not all packages may be needed but it is better to be safe than sorry.
chooseCRANmirror(graphics = FALSE, ind = 1)
knitr::opts_chunk$set(echo = TRUE)
if (!require('pacman')) install.packages('pacman', 'tidyverse', 'xlsx', 'readxl', 'plyr', 'dplyr', 'lubridate', 'gmodels', 'skimr', 'likert', 'devtools', 'ggplot2', 'xtable', 'expss', 'reshape', 'scales', 'psych', 'lavaan', 'bestNormalize', 'corrgram', 'BDgraph')
#load common packages
pacman::p_load(tidyverse, xlsx, readxl, plyr, dplyr, lubridate, skimr, likert, devtools, ggplot2, xtable, expss, reshape, scales, psych, lavaan, bestNormalize, corrgram, BDgraph)
options(tz = "America/New_York")#Data Cleaning
##Import the file This code imports the Excel file. Free-response fields have multiple commas, making it difficult to account for that with a csv import. The code below also skips the first two lines because they are unnecessary (automatically generated from Survey Monkey).
strobe <- read_excel("C:/Users/Melissa/Documents/OneDrive/PhD/GitHubData/Study 2/RAW_STROBE Statement Survey for Authors.xlsx", skip = 2, col_names = FALSE, col_types = NULL)## Warning in read_fun(path = enc2native(normalizePath(path)), sheet_i =
## sheet, : Expecting logical in EZ1256 / R1256C156: got 'I don’t
## believe gender identity exists as a category. If you want to know my
## biological sex, however, I do possess the SRY gene'## New names:
## * `` -> ...1
## * `` -> ...2
## * `` -> ...3
## * `` -> ...4
## * `` -> ...5
## * ... and 205 more problems##Rename columns
colnames(strobe)[1] <- 'RespondentID'
colnames(strobe)[2] <- 'CollectorID'
colnames(strobe)[3] <- 'StartDate'
colnames(strobe)[4] <- 'EndDate'
colnames(strobe)[5] <- 'IPAddress'
colnames(strobe)[6] <- 'EmailAddress'
colnames(strobe)[7] <- 'FirstName'
colnames(strobe)[8] <- 'LastName'
colnames(strobe)[9] <- 'CustomDate'
colnames(strobe)[10] <- 'Consent'
colnames(strobe)[11] <- 'STROBEFamiliarity'
colnames(strobe)[12] <- 'ExtFamiliarity_None'
colnames(strobe)[13] <- 'ExtFam_STREGA'
colnames(strobe)[14] <- 'ExtFam_EULAR'
colnames(strobe)[15] <- 'ExtFam_ME'
colnames(strobe)[16] <- 'ExtFam_ID'
colnames(strobe)[17] <- 'ExtFam_RDS'
colnames(strobe)[18] <- 'ExtFam_RECORD'
colnames(strobe)[19] <- 'ExtFam_AMS'
colnames(strobe)[20] <- 'ExtFam_MARES'
colnames(strobe)[21] <- 'ExtFam_NUT'
colnames(strobe)[22] <- 'ExtFam_ROSESI'
colnames(strobe)[23] <- 'ExtFam_SBR'
colnames(strobe)[24] <- 'ExtFam_NI'
colnames(strobe)[25] <- 'ExtFam_Vet'
colnames(strobe)[26] <- 'B1_StageResearch_None'
colnames(strobe)[27] <- 'B1_StageResearch_Protocol'
colnames(strobe)[28] <- 'B1_StageResearch_Grant'
colnames(strobe)[29] <- 'B1_StageResearch_Writing'
colnames(strobe)[30] <- 'B1_StageResearch_CheckManuscript'
colnames(strobe)[31] <- 'B1_StageResearch_EvaluatePR'
colnames(strobe)[32] <- 'B1_STROBEMotiv_Self'
colnames(strobe)[33] <- 'B1_STROBE_Motiv_CoAuthors'
colnames(strobe)[34] <- 'B1_STROBEMotiv_Journal'
colnames(strobe)[35] <- 'B1_STROBEMotiv_PeerReview'
colnames(strobe)[36] <- 'B1_STROBEMotiv_SocialNorm'
colnames(strobe)[37] <- 'B1_STROBEMotiv_Mentor'
colnames(strobe)[38] <- 'B1_STROBEMotiv_FreeText'
colnames(strobe)[39] <- 'B1_PE1_Useful'
colnames(strobe)[40] <- 'B1_PE2_WriteFaster'
colnames(strobe)[41] <- 'B1_PE3_IncProductivity'
colnames(strobe)[42] <- 'B1_PE4_IncPubChances'
colnames(strobe)[43] <- 'B1_PE5_PosPR'
colnames(strobe)[44] <- 'B1_PE6_EasierWrite'
colnames(strobe)[45] <- 'B1_PE7_ImproveQuality'
colnames(strobe)[46] <- 'B1_PE8_MoreEfficient'
colnames(strobe)[47] <- 'B1_PE9_IncQualSameEffort'
colnames(strobe)[48] <- 'B1_EE1_EasyToUse'
colnames(strobe)[49] <- 'B1_EE2_ClearUnderstandable'
colnames(strobe)[50] <- 'B1_EE3_BecomeSkillful'
colnames(strobe)[51] <- 'B1_EE4_TooMuchTime'
colnames(strobe)[52] <- 'B1_EE5_TooComplicated'
colnames(strobe)[53] <- 'B1_EE6_TooLongToLearn'
colnames(strobe)[54] <- 'B1_SI1_Peers'
colnames(strobe)[55] <- 'B1_SI2_ResClimate' #SI2 and SI3 are presented in diff order in B2 and B3
colnames(strobe)[56] <- 'B1_SI3_Superiors'
colnames(strobe)[57] <- 'B1_SI4_Journals'
colnames(strobe)[58] <- 'B1_SI5_Field'
colnames(strobe)[59] <- 'B1_FC1_Knowledge'
colnames(strobe)[60] <- 'B1_FC2_WorkflowCompatibility'
colnames(strobe)[61] <- 'B1_FC3_EasyToUse'
colnames(strobe)[62] <- 'B1_FC4_FitsWellWithWork'
colnames(strobe)[63] <- 'B1_BehIntUse'
colnames(strobe)[64] <- 'B2_FirstAware'
colnames(strobe)[65] <- 'B2_FirstAware_FreeText'
colnames(strobe)[66] <- 'B2_ReasonNotUse_NoBenefit'
colnames(strobe)[67] <- 'B2_ReasonNotUse_NoRules'
colnames(strobe)[68] <- 'B2_ReasonNotUse_HardToUnderstand'
colnames(strobe)[69] <- 'B2_ReasonNotUse_WordCount'
colnames(strobe)[70] <- 'B2_ReasonNotUse_Format'
colnames(strobe)[71] <- 'B2_ReasonNotUse_CoAuthors'
colnames(strobe)[72] <- 'B2_ReasonNotUse_NegPeerReview'
colnames(strobe)[73] <- 'B2_ReasonNotUse_Journals'
colnames(strobe)[74] <- 'B2_ReasonNotUse_NotMyType'
colnames(strobe)[75] <- 'B2_ReasonNotUse_Other'
colnames(strobe)[76] <- 'B2_STROBEMotiv_Self'
colnames(strobe)[77] <- 'B2_STROBE_Motiv_CoAuthors'
colnames(strobe)[78] <- 'B2_STROBEMotiv_Journal'
colnames(strobe)[79] <- 'B2_STROBEMotiv_PeerReview'
colnames(strobe)[80] <- 'B2_STROBEMotiv_Incentivized'
colnames(strobe)[81] <- 'B2_STROBEMotiv_Feedback'
colnames(strobe)[82] <- 'B2_STROBEMotiv_FreeText'
colnames(strobe)[83] <- 'B2_StageResearch_None'
colnames(strobe)[84] <- 'B2_StageResearch_Protocol'
colnames(strobe)[85] <- 'B2_StageResearch_Grant'
colnames(strobe)[86] <- 'B2_StageResearch_Writing'
colnames(strobe)[87] <- 'B2_StageResearch_CheckManuscript'
colnames(strobe)[88] <- 'B2_StageResearch_EvaluatePR'
colnames(strobe)[89] <- 'B2_PE1_Useful'
colnames(strobe)[90] <- 'B2_PE2_WriteFaster'
colnames(strobe)[91] <- 'B2_PE3_IncProductivity'
colnames(strobe)[92] <- 'B2_PE4_IncPubChances'
colnames(strobe)[93] <- 'B2_PE5_PosPR'
colnames(strobe)[94] <- 'B2_PE6_EasierWrite'
colnames(strobe)[95] <- 'B2_PE7_ImproveQuality'
colnames(strobe)[96] <- 'B2_PE8_MoreEfficient'
colnames(strobe)[97] <- 'B2_PE9_IncQualSameEffort'
colnames(strobe)[98] <- 'B2_EE1_EasyToUse'
colnames(strobe)[99] <- 'B2_EE2_ClearUnderstandable'
colnames(strobe)[100] <- 'B2_EE3_BecomeSkillful'
colnames(strobe)[101] <- 'B2_EE4_TooMuchTime'
colnames(strobe)[102] <- 'B2_EE5_TooComplicated'
colnames(strobe)[103] <- 'B2_EE6_TooLongToLearn'
colnames(strobe)[104] <- 'B2_SI1_Peers'
colnames(strobe)[105] <- 'B2_SI3_Superiors' #B2 and B3 have the Superiors question presented first but in order to avoid confusin with the SI2 and SI3 labels, SI2 = Research climate and SI3 = Superiors. It is fixed here despite that B2 and B3 have the superiors question asked first.
colnames(strobe)[106] <- 'B2_SI2_ResClimate'
colnames(strobe)[107] <- 'B2_SI4_Journals'
colnames(strobe)[108] <- 'B2_SI5_Field'
colnames(strobe)[109] <- 'B2_FC1_Knowledge'
colnames(strobe)[110] <- 'B2_FC2_WorkflowCompatibility'
colnames(strobe)[111] <- 'B2_FC3_EasyToUse'
colnames(strobe)[112] <- 'B2_FC4_FitsWellWithWork'
colnames(strobe)[113] <- 'B2_BehIntUse'
colnames(strobe)[114] <- 'B3_UseEstimate'
colnames(strobe)[115] <- 'B3_FirstAware'
colnames(strobe)[116] <- 'B3_FirstAware_FreeText'
colnames(strobe)[117] <- 'B3_StageResearch_Protocol'
colnames(strobe)[118] <- 'B3_StageResearch_Grant'
colnames(strobe)[119] <- 'B3_StageResearch_Writing'
colnames(strobe)[120] <- 'B3_StageResearch_CheckManuscript'
colnames(strobe)[121] <- 'B3_StageResearch_EvaluatePR'
colnames(strobe)[122] <- 'B3_STROBEMotiv_Self'
colnames(strobe)[123] <- 'B3_STROBE_Motiv_CoAuthors'
colnames(strobe)[124] <- 'B3_STROBEMotiv_Journal'
colnames(strobe)[125] <- 'B3_STROBEMotiv_PeerReview'
colnames(strobe)[126] <- 'B3_STROBEMotiv_FreeText'
colnames(strobe)[127] <- 'B3_PE1_Useful'
colnames(strobe)[128] <- 'B3_PE2_WriteFaster'
colnames(strobe)[129] <- 'B3_PE3_IncProductivity'
colnames(strobe)[130] <- 'B3_PE4_IncPubChances'
colnames(strobe)[131] <- 'B3_PE5_PosPR'
colnames(strobe)[132] <- 'B3_PE6_EasierWrite'
colnames(strobe)[133] <- 'B3_PE7_ImproveQuality'
colnames(strobe)[134] <- 'B3_PE8_MoreEfficient'
colnames(strobe)[135] <- 'B3_PE9_IncQualSameEffort'
colnames(strobe)[136] <- 'B3_EE1_EasyToUse'
colnames(strobe)[137] <- 'B3_EE2_ClearUnderstandable'
colnames(strobe)[138] <- 'B3_EE3_BecomeSkillful'
colnames(strobe)[139] <- 'B3_EE4_TooMuchTime'
colnames(strobe)[140] <- 'B3_EE5_TooComplicated'
colnames(strobe)[141] <- 'B3_EE6_TooLongToLearn'
colnames(strobe)[142] <- 'B3_SI1_Peers'
colnames(strobe)[143] <-'B3_SI3_Superiors'#B2 and B3 have the Superiors question presented first but in order to avoid confusin with the SI2 and SI3 labels, SI2 = Research climate and SI3 = Superiors. It is fixed here despite that B2 and B3 have the superiors question asked first.
colnames(strobe)[144] <- 'B3_SI2_ResClimate'
colnames(strobe)[145] <- 'B3_SI4_Journals'
colnames(strobe)[146] <- 'B3_SI5_Field'
colnames(strobe)[147] <- 'B3_FC1_Knowledge'
colnames(strobe)[148] <- 'B3_FC2_WorkflowCompatibility'
colnames(strobe)[149] <- 'B3_FC3_EasyToUse'
colnames(strobe)[150] <- 'B3_FC4_FitsWellWithWork'
colnames(strobe)[151] <- 'B3_BehIntUse'
colnames(strobe)[152] <- 'TimeInResearch'
colnames(strobe)[153] <- 'Age'
colnames(strobe)[154] <- 'Country'
colnames(strobe)[155] <- 'Gender'
colnames(strobe)[156] <- 'Gender_Other'
colnames(strobe)[157] <- 'Referral_Journal'
colnames(strobe)[158] <- 'Referral_Personal'
colnames(strobe)[159] <- 'Referral_Twitter'
colnames(strobe)[160] <- 'Referral_Facebook'
colnames(strobe)[161] <- 'Referral_Other'
colnames(strobe)[162] <- 'Field_Anatomy'
colnames(strobe)[163] <- 'Field_Bacteriology'
colnames(strobe)[164] <- 'Field_BioChem'
colnames(strobe)[165] <- 'Field_Bioinformatics'
colnames(strobe)[166] <- 'Field_BiomedSci'
colnames(strobe)[167] <- 'Field_BioMetricsStats'
colnames(strobe)[168] <- 'Field_BioPhysics'
colnames(strobe)[169] <- 'Field_BioTech'
colnames(strobe)[170] <- 'Field_Botany'
colnames(strobe)[171] <- 'Field_CancerBio'
colnames(strobe)[172] <- 'Field_CellBio'
colnames(strobe)[173] <- 'Field_CompBio'
colnames(strobe)[174] <- 'Field_DevBio'
colnames(strobe)[175] <- 'Field_Ecology'
colnames(strobe)[176] <- 'Field_Education'
colnames(strobe)[177] <- 'Field_Endocrinology'
colnames(strobe)[178] <- 'Field_EnvTox'
colnames(strobe)[179] <- 'Field_Epidemiology'
colnames(strobe)[180] <- 'Field_Ethics'
colnames(strobe)[181] <- 'Field_EvoBio'
colnames(strobe)[182] <- 'Field_GeneticsGenomics'
colnames(strobe)[183] <- 'Field_Gerontology'
colnames(strobe)[184] <- 'Field_HealthBehavior'
colnames(strobe)[185] <- 'Field_HealthPolicy'
colnames(strobe)[186] <- 'Field_HealthSystems'
colnames(strobe)[187] <- 'Field_Immunology'
colnames(strobe)[188] <- 'Field_Kinesiology'
colnames(strobe)[189] <- 'Field_LibraryScience'
colnames(strobe)[190] <- 'Field_Microbiology'
colnames(strobe)[191] <- 'Field_MolBio'
colnames(strobe)[192] <- 'Field_Neuro'
colnames(strobe)[193] <- 'Field_Nursing'
colnames(strobe)[194] <- 'Field_Nutrition'
colnames(strobe)[195] <- 'Field_Oral'
colnames(strobe)[196] <- 'Field_Parasitology'
colnames(strobe)[197] <- 'Field_Pathology'
colnames(strobe)[198] <- 'Field_Pharma'
colnames(strobe)[199] <- 'Field_Physio'
colnames(strobe)[200] <- 'Field_Psychology'
colnames(strobe)[201] <- 'Field_PublicHealth'
colnames(strobe)[202] <- 'Field_Rehab'
colnames(strobe)[203] <- 'Field_SpeechPath'
colnames(strobe)[204] <- 'Field_SocialWork'
colnames(strobe)[205] <- 'Field_Toxicology'
colnames(strobe)[206] <- 'Field_VetSci'
colnames(strobe)[207] <- 'Field_Virology'
colnames(strobe)[208] <- 'Field_Zoology'
colnames(strobe)[209] <- 'Field_FreeText'
colnames(strobe)[210] <- 'OpenResponse'##Recode write-in for gender The free-response indicated gender as man.
strobe$Gender[strobe$Gender == 0] <- 2##Delete my IP address
##Delete duplicates entries These were identified by a manual review of duplicate IP Addresses. Manual review was a judgment of the timing and completeness of answers. Numbers in the code are unique respondent IDs, not IP addresses, which are shielded for privacy. Code structure is as follows: list <- c(“RespondentID1”, “RespondentID2”, “etc…” dataset <- subset(dataset, !RespondentID %in% list)
respdupes <- c("6895285446", "6925147350", "6924896855", "6911849678","6894166090", "6898108202", "6899685864", "6809121527", "6893624243", "6896980184", "6907551241", "6913326062", "6893566559", "6894966274", "6915408284", "6925056385", "6916258565", "6925184267", "6911378969", "6925257428", "6901712673", "6898036884", "6924813686", "6894189270", "6903905472", "6925318064", "6763949467", "6895779447", "6895779642", "6895780894", "6907591447", "6925192958", "6926018715", "6925928361", "6897234891", "6911664818", "6911329044")
strobe <- subset(strobe, !RespondentID %in% respdupes)##Delete IP address, referral mechanisms, and blank columns This step deletes variables for privacy as they reference people’s names. It also deletes empty columns automatically generated by Survey Monkey.
##Calculate consent rate. Drops non-consenters. Calculates overall consent rate (Consent 1 = yes; 2 = no). Drops non-consenters
table(strobe$Consent)##
## 1 2
## 1265 28prop.table(table(strobe$Consent))##
## 1 2
## 0.97834493 0.02165507noconsent <- c("2")
strobeC <- subset(strobe, !Consent %in% noconsent)
dim(strobeC)## [1] 1265 200##Delete ineligibles (based on free text) Deletes respondents who were actually ineligble based on their free text responses (var: B1_ReasonNotUse_Other, OpenResponse, and/or B0_STROBEMotivation_FreeText). Examples of text include things along the lines of “I do not do observational research.” 7 people were dropped.
ineligB1 <- c("6911384471", "6855519117", "6885050055", "6881845268", "6884573551", "6885298732")
strobeC <- subset(strobeC, !RespondentID %in% ineligB1)
ineligOpenResp <- c("6924790774")
strobeC <- subset(strobeC, !RespondentID %in% ineligOpenResp)
dim(strobeC)## [1] 1258 200##Create variable for survey version. Calculate version split between branches. This is important for missing data calculations. It creates a new variable “version” based on which version of the survey was taken (demographics page 2nd or 2nd to last). The second page initially asked for demographic information. A completion rate of roughly 50% from personal contacts warranted an interim investigation into the timing of dropouts. Due to the question formatting, this initial page may have appeared overwhelming to participants and perhaps they feared that the rest of the survey would be similar. As the survey was already live, question formatting could not be changed. Thus, the page was moved to the end of the survey when the participant sample was around 30.
library(lubridate)
strobeC$StartDate <- as.POSIXct(strobeC$StartDate, format = "%y-%m/-%d %H:%M:%S")
strobeC$version <- ifelse(strobeC$StartDate < mdy_hms("03-29-2018 18:52:47"),1,2)
table(strobeC$version, strobeC$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 1 6 2 10 7
## 2 285 226 644 78
## <NA> 0 0 0 0##Delete those who never selected a branch The code above reveals a large number of missing values for the branching question which is the first real question of the survey. This code drops those who never selected a branch.
strobeBranches <- strobeC[complete.cases(strobeC$STROBEFamiliarity), ]
table(strobeBranches$version, strobeBranches$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 1 6 2 10 0
## 2 285 226 644 0
## <NA> 0 0 0 0##Calculate completion rates (split by survey version) For version 1 the last forced response question is regarding the Behavioral Intention to Use. For version 2, the final forced response question in regarding their field (multiple-select) of work on the demographic page. This code accounts for this difference and calculates the completion rates
strobev1 <- strobeBranches[strobeBranches$version == 1, ]
dim(strobev1)## [1] 18 201strobev2 <- strobeBranches[strobeBranches$version == 2, ]
dim(strobev2)## [1] 1155 201#version 1
dim(strobev1) ## [1] 18 201strobeV1Full <- strobev1[!is.na(strobev1$B1_BehIntUse) | !is.na( strobev1$B2_BehIntUse) | !is.na(strobev1$B3_BehIntUse),]
dim(strobeV1Full) ## [1] 14 201table(strobeV1Full$version, strobeV1Full$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 1 3 2 9 0
## <NA> 0 0 0 0#version 2
dim(strobev2)## [1] 1155 201strobeV2Full <- strobev2[!is.na(strobev2$Field_Anatomy) | !is.na(strobev2$Field_Bacteriology) | !is.na(strobev2$Field_BioChem) | !is.na(strobev2$Field_Bioinformatics) | !is.na(strobev2$Field_BiomedSci) | !is.na(strobev2$Field_BioMetricsStats) | !is.na(strobev2$Field_BioPhysics) | !is.na(strobev2$Field_BioTech) | !is.na(strobev2$Field_Botany) | !is.na(strobev2$Field_CancerBio) | !is.na(strobev2$Field_CellBio) | !is.na(strobev2$Field_CompBio) | !is.na(strobev2$Field_DevBio) | !is.na(strobev2$Field_Ecology) | !is.na(strobev2$Field_Education) | !is.na(strobev2$Field_Endocrinology) | !is.na(strobev2$Field_EnvTox) | !is.na(strobev2$Field_Epidemiology) | !is.na(strobev2$Field_Ethics) | !is.na(strobev2$Field_EvoBio) | !is.na(strobev2$Field_GeneticsGenomics) | !is.na(strobev2$Field_Gerontology) | !is.na(strobev2$Field_HealthBehavior) | !is.na(strobev2$Field_HealthPolicy) | !is.na(strobev2$Field_HealthSystems) | !is.na(strobev2$Field_Immunology) | !is.na(strobev2$Field_Kinesiology) | !is.na(strobev2$Field_LibraryScience) | !is.na(strobev2$Field_Microbiology) | !is.na(strobev2$Field_MolBio) | !is.na(strobev2$Field_Neuro) | !is.na(strobev2$Field_Nursing) | !is.na(strobev2$Field_Nutrition) | !is.na(strobev2$Field_Oral) | !is.na(strobev2$Field_Parasitology) | !is.na(strobev2$Field_Pathology) | !is.na(strobev2$Field_Pharma) | !is.na(strobev2$Field_Physio) | !is.na(strobev2$Field_Psychology) | !is.na(strobev2$Field_PublicHealth) | !is.na(strobev2$Field_Rehab) | !is.na(strobev2$Field_SpeechPath) | !is.na(strobev2$Field_SocialWork) | !is.na(strobev2$Field_Toxicology) | !is.na(strobev2$Field_VetSci) | !is.na(strobev2$Field_Virology) | !is.na(strobev2$Field_Zoology) | !is.na(strobev2$Field_FreeText), ]
dim(strobeV2Full)## [1] 1001 201table(strobeV2Full$version, strobeV2Full$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 2 192 183 626 0
## <NA> 0 0 0 0table(strobeBranches$version, strobeBranches$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 1 6 2 10 0
## 2 285 226 644 0
## <NA> 0 0 0 0consented = matrix(c(6, 2, 10, 7, 285, 226, 644, 78),
nrow = 2,
ncol = 4,
byrow = TRUE,
dimnames = list(c("Version 1", "Version 2"), c("Branch 1", "Branch 2", "Branch 3", "NA")))
consented## Branch 1 Branch 2 Branch 3 NA
## Version 1 6 2 10 7
## Version 2 285 226 644 78#Completion rate overall. Full completers divided by all those who consented
completed = matrix(c(3, 2, 9, 192, 183, 626),
nrow = 2,
ncol = 3,
byrow = TRUE, dimnames = list(c("Version 1", "Version 2"), c("Branch 1", "Branch 2", "Branch 3")))
completed## Branch 1 Branch 2 Branch 3
## Version 1 3 2 9
## Version 2 192 183 626((14 + 1001)/(1258) )*100## [1] 80.68362##Create datasets required for analyses. The datasets strobeBranches, strobev1, strobev1Full, strobev2, and strobev2Full currently exist. They are as follows:
strobeBranches = the complete dataset, including dropouts
strobev1 = version 1 including dropouts
strobev2 = version 2 including dropouts
strobev1Full = version 1, only those who completed the entire survey
strobev2Full = version 2, only those who completed the entire survey
Branches/subgroups are not split until it is necessary to do so for the Likert scale and factor analyses. This saves time recoding multiple datasets unnecessarily.
The code below creates the dataset of those who completed the entire survey: strobeCOMPLETE = V1Full and V2Full combined.
strobeCOMPLETE <- rbind(strobeV1Full, strobeV2Full)##Calculate average completion time for full dataset## The code ensures that StartDate and EndDate are formatted as POSIXct (they are).
strobeCOMPLETE$StartDate <- as.POSIXct(strobeCOMPLETE$StartDate, format = "%y-%m-%d %H:%M:%S")
strobeCOMPLETE$EndDate <- as.POSIXct(strobeCOMPLETE$EndDate, format = "%y-%m-%d %H:%M:%S")
timedf <- data.frame(t1 = strobeCOMPLETE$StartDate, t2 = strobeCOMPLETE$EndDate)
median(timedf$t1 - timedf$t2, units = "secs")## Time difference of -6.7 minsmean(timedf$t1 - timedf$t2, units = "secs")## Time difference of -15.13544 mins.7*60 #calculate .7 minutes into seconds## [1] 42.13544*60 #calculate .1 minutes into seconds## [1] 8.1264#Data Analysis Descriptives ##Sample Demographics Age categories displayed by branches.
table(strobeCOMPLETE$Age, strobeCOMPLETE$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 1 3 3 1 0
## 2 33 35 110 0
## 3 46 48 242 0
## 4 55 35 163 0
## 5 37 52 88 0
## 6 17 12 25 0
## 7 4 0 0 0
## 8 0 0 6 0
## <NA> 0 0 0 0library(ggplot2)
ggplot(strobeCOMPLETE, aes(x = Age)) +
geom_bar() +
facet_wrap(~STROBEFamiliarity)
Age categories reduced/recoded split by branches.
detach(package:dplyr)
library(dplyr) #done due to weird conflicts with package loading## Warning: package 'dplyr' was built under R version 3.4.4##
## Attaching package: 'dplyr'## The following object is masked from 'package:BDgraph':
##
## select## The following object is masked from 'package:reshape':
##
## rename## The following objects are masked from 'package:expss':
##
## between, compute, first, last, na_if, recode, vars## The following object is masked from 'package:likert':
##
## recode## The following objects are masked from 'package:lubridate':
##
## intersect, setdiff, union## The following objects are masked from 'package:plyr':
##
## arrange, count, desc, failwith, id, mutate, rename, summarise,
## summarize## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionstrobeCOMPLETE$AgeCollapse[strobeCOMPLETE$Age %in% c(1,2)] <- 1 #18-34 years## Warning: Unknown or uninitialised column: 'AgeCollapse'.strobeCOMPLETE$AgeCollapse[strobeCOMPLETE$Age %in% c(3,4)] <- 2 #35-54 years
strobeCOMPLETE$AgeCollapse[strobeCOMPLETE$Age %in% c(5,6,7)] <- 3 #55+
strobeCOMPLETE$AgeCollapse[strobeCOMPLETE$Age %in% c(8)] <- 4 #Prefer not to say
table(strobeCOMPLETE$AgeCollapse, strobeCOMPLETE$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 1 36 38 111 0
## 2 101 83 405 0
## 3 58 64 113 0
## 4 0 0 6 0
## <NA> 0 0 0 0#Count plots
ggplot(strobeCOMPLETE, aes(x = AgeCollapse)) +
geom_bar() +
facet_wrap(~STROBEFamiliarity)
#Proportion plots
strobeCOMPLETE2 <- strobeCOMPLETE %>%
group_by(STROBEFamiliarity,AgeCollapse) %>%
summarize(count = n()) %>%
mutate(perc = count/sum(count))
ggplot(strobeCOMPLETE2, aes(x = factor(STROBEFamiliarity), y = perc*100, fill = factor(AgeCollapse))) +
geom_bar(stat = "identity", width = 0.7) +
labs(x = "Group", y = "percent", fill = "Age") +
theme_minimal(base_size = 10)
Time Spent in Research split by branches. The distributions are similar across branches.
table(strobeCOMPLETE$TimeInResearch, strobeCOMPLETE$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 1 57 65 210 0
## 2 61 54 247 0
## 3 46 41 125 0
## 4 22 22 42 0
## 5 8 3 6 0
## 6 1 0 2 0
## 7 0 0 3 0
## <NA> 0 0 0 0ggplot(strobeCOMPLETE, aes(x = TimeInResearch)) +
geom_bar() +
facet_wrap(~STROBEFamiliarity)
Time spent in research categories reduced/recoded and split by branches
strobeCOMPLETE$ResTimeCollapse[strobeCOMPLETE$TimeInResearch %in% c(1)] <- 1 #1 - 10## Warning: Unknown or uninitialised column: 'ResTimeCollapse'.strobeCOMPLETE$ResTimeCollapse[strobeCOMPLETE$TimeInResearch %in% c(2,3)] <- 2 #11 - 30
strobeCOMPLETE$ResTimeCollapse[strobeCOMPLETE$TimeInResearch %in% c(4,5)] <- 3 #31+
strobeCOMPLETE$ResTimeCollapse[strobeCOMPLETE$TimeInResearch %in% c(6)] <- 4 #Do not work in research
strobeCOMPLETE$ResTimeCollapse[strobeCOMPLETE$TimeInResearch %in% c(7)] <- 5 #Prefer not to say
table(strobeCOMPLETE$ResTimeCollapse, strobeCOMPLETE$STROBEFamiliarity, useNA = "always")##
## 1 2 3 <NA>
## 1 57 65 210 0
## 2 107 95 372 0
## 3 30 25 48 0
## 4 1 0 2 0
## 5 0 0 3 0
## <NA> 0 0 0 0strobeCOMPLETE3 <- strobeCOMPLETE %>%
group_by(STROBEFamiliarity,ResTimeCollapse) %>%
summarise(count = n()) %>%
mutate(perc = count/sum(count))
#Proportion plots
ggplot(strobeCOMPLETE3, aes(x = factor(STROBEFamiliarity), y = perc*100, fill = factor(ResTimeCollapse))) +
geom_bar(stat="identity", width = 0.7) +
labs(x = "Group", y = "percent", fill = "Time Spent in Research") +
theme_minimal(base_size = 10)
#Count plots
ggplot(strobeCOMPLETE, aes(x = ResTimeCollapse)) +
geom_bar() +
facet_wrap(~STROBEFamiliarity)
Gender split by branches. Good split between groups.
table(strobeCOMPLETE$Gender, strobeCOMPLETE$STROBEFamiliarity, useNA = "always") ##
## 1 2 3 <NA>
## 1 97 82 289 0
## 2 94 101 329 0
## 3 0 0 3 0
## 4 4 2 14 0
## <NA> 0 0 0 0ggplot(strobeCOMPLETE, aes(x = Gender)) +
geom_bar() +
facet_wrap(~STROBEFamiliarity)
Countries split by region. Recoding into ScImago Regions for Table 1. SciImago Regions were used because they are related to the research output of the countries rather than arbitrary continent lines.
strobeCOMPLETE$ScImagoRegion=0
strobeCOMPLETE$ScImagoRegion[strobeCOMPLETE$Country %in% c(3, 5, 19, 23, 27, 28, 29, 31, 33, 34, 38, 39, 41, 47, 49, 55, 56, 58, 62, 63, 66, 70, 71, 89, 96, 97, 98, 102, 103, 106, 109, 110, 116, 117, 119, 125, 126, 143, 149, 151, 153, 153, 154, 159, 160, 161, 165, 167, 175, 178, 182, 186, 194, 195)] <- 1 #Africa
strobeCOMPLETE$ScImagoRegion[strobeCOMPLETE$Country %in% c(1, 14, 20, 25, 30, 36, 46, 78, 79, 86, 88, 92, 93, 104, 105, 114, 118, 121, 129, 135, 139, 155, 163, 171, 172, 174, 180, 189, 192)] <- 2 #Asiatic Region
strobeCOMPLETE$ScImagoRegion[strobeCOMPLETE$Country %in% c(2, 8, 11 , 16, 22, 26, 42, 45, 57, 64, 76, 94, 100, 115, 136, 140, 141, 142, 152, 156, 157, 173, 183)] <- 3 # Eastern Europe
strobeCOMPLETE$ScImagoRegion[strobeCOMPLETE$Country %in% c(6, 7, 12, 15, 18, 21, 24, 35, 37, 40, 43, 50, 51, 52, 54, 68, 69, 72, 73, 75, 85, 111, 124, 131, 133, 134, 144, 145, 146, 166, 177, 188, 191)] <- 4 #Latin America
strobeCOMPLETE$ScImagoRegion[strobeCOMPLETE$Country %in% c(13, 53, 80, 81, 83, 87, 91, 95, 128, 138, 150, 164, 170, 179, 184, 193)] <- 5 #Middle East
strobeCOMPLETE$ScImagoRegion[strobeCOMPLETE$Country %in% c(32, 187)] <- 6 #Northern America
strobeCOMPLETE$ScImagoRegion[strobeCOMPLETE$Country %in% c(9, 59, 90, 108, 112, 120, 123, 130, 132, 147, 158, 176, 181, 190)] <- 7 #Pacific Region
strobeCOMPLETE$ScImagoRegion[strobeCOMPLETE$Country %in% c(4, 10, 17, 44, 48, 60, 61, 65, 67, 74, 77, 82, 84, 99, 101, 107, 113, 122, 127, 137, 148, 162, 168, 169, 185)] <- 8 #Western Europe
strobeCOMPLETE$ScImagoRegion[is.na(strobeCOMPLETE$Country)] <- 9 #Not reportedA table of the regions plotted by branch
table(strobeCOMPLETE$ScImagoRegion, strobeCOMPLETE$STROBEFamiliarity)##
## 1 2 3
## 1 5 2 15
## 2 7 4 20
## 3 12 5 16
## 4 14 10 30
## 5 11 6 9
## 6 58 57 168
## 7 4 10 40
## 8 69 83 313
## 9 15 8 24#Present region data per branch in nicer format
regionmatrix = matrix(c(5,2,15,7,4,20,12,5,16,14,10,30,11,6,9,58,57,168,4,10,40,69,83,313,15,8,24),
nrow = 9,
ncol = 3,
byrow = TRUE,
dimnames = list(c("Africa", "Asiatic region", "Eastern Europe", "Latin America", "Middle East", "Northern America", "Pacific Region", "Western Europe", "Not reported"), c("Branch 1", "Branch 2", "Branch 3")))
regionmatrix## Branch 1 Branch 2 Branch 3
## Africa 5 2 15
## Asiatic region 7 4 20
## Eastern Europe 12 5 16
## Latin America 14 10 30
## Middle East 11 6 9
## Northern America 58 57 168
## Pacific Region 4 10 40
## Western Europe 69 83 313
## Not reported 15 8 24#Plot the Regions in a histogram
ggplot(strobeCOMPLETE, aes(x = ScImagoRegion)) +
geom_bar() +
scale_x_discrete("ScImagoRegion")
#Look at distribution split by branches to see if the distributions are different. They are not.
ggplot(strobeCOMPLETE, aes(x = ScImagoRegion)) +
geom_bar() +
facet_wrap(~STROBEFamiliarity)
table(strobeCOMPLETE$Field_Epidemiology, strobeCOMPLETE$STROBEFamiliarity)##
## 1 2 3
## 18 32 71 367table(strobeCOMPLETE$Field_PublicHealth, strobeCOMPLETE$STROBEFamiliarity)##
## 1 2 3
## 40 25 45 177##Awareness of STROBE and Extensions 854 out of 1173 respondents were unaware of any STROBE extension. 72.8%. 718 out of 1015 completers were unaware of any STROBE extension. 70.7% 1 = “I have nor heard of any STROBE extensions”
table(strobeBranches$STROBEFamiliarity, strobeBranches$ExtFamiliarity_None, useNA = "always") #including dropouts##
## 1 <NA>
## 1 283 8
## 2 172 56
## 3 399 255
## <NA> 0 0table(strobeCOMPLETE$STROBEFamiliarity, strobeCOMPLETE$ExtFamiliarity_None, useNA = "always")##
## 1 <NA>
## 1 190 5
## 2 140 45
## 3 388 247
## <NA> 0 0#Those who said they were aware of no extensions
totalunawareext <- 190 + 140 + 388
totalunawareext## [1] 718#Proportion of the total sample who were unaware of any extensions
propunawareext <- (totalunawareext / 1015) * 100
propunawareext## [1] 70.73892#Those who responded that they were aware of at least 1 extension
totalawareext <- 5 + 45 + 247
totalawareext## [1] 297#Proportion of the total sample who were unaware of any extensions
propawareext <- (totalawareext / 1015) * 100
propawareext## [1] 29.26108table(strobeCOMPLETE$ExtFam_STREGA)##
## 2
## 108table(strobeCOMPLETE$ExtFam_ME)##
## 4
## 86table(strobeCOMPLETE$ExtFam_ID)##
## 5
## 33table(strobeCOMPLETE$ExtFam_EULAR)##
## 3
## 83table(strobeCOMPLETE$ExtFam_RDS)##
## 6
## 25table(strobeCOMPLETE$ExtFam_RECORD)##
## 7
## 121table(strobeCOMPLETE$ExtFam_AMS)##
## 8
## 28table(strobeCOMPLETE$ExtFam_MARES)##
## 9
## 8table(strobeCOMPLETE$ExtFam_NUT)##
## 10
## 45table(strobeCOMPLETE$ExtFam_ROSESI)##
## 11
## 17table(strobeCOMPLETE$ExtFam_SBR)##
## 12
## 24table(strobeCOMPLETE$ExtFam_NI)##
## 13
## 14table(strobeCOMPLETE$ExtFam_Vet)##
## 14
## 11EXTFAMmatrix = matrix(c(108,83,86,33,25,121,28,8,45,17,24,14,11),
nrow = 13,
ncol = 1,
byrow = TRUE,
dimnames = list(c("STREGA", "EULAR", "ME", "MEID", "RDS", "RECORD", "AMS", "MARES", "NUT", "ROSESI", "SBR", "NI", "VET"), c("Aware Count")))
EXTFAMmatrix[do.call(order,as.data.frame(EXTFAMmatrix)),]## MARES VET NI ROSESI SBR RDS AMS MEID NUT EULAR
## 8 11 14 17 24 25 28 33 45 83
## ME STREGA RECORD
## 86 108 121##Branch 2 and 3 First Aware When were they made first aware?
table(strobeCOMPLETE$B2_FirstAware)##
## 0 1 2 3 4 5
## 14 31 16 55 32 37table(strobeCOMPLETE$B3_FirstAware)##
## 0 1 2 3 4 5
## 43 97 90 234 105 66FIRSTAWAREmatrix = matrix(c(31,97,16,90,55,234,32,105,37,66,14,43),
nrow = 6, ncol = 2, byrow = TRUE,
dimnames = list(c("Peer/Colleague", "Boss/Mentor/Supervisor", "Journal", "Course/Workshop", "Online", "Other"), c("Branch 2", "Branch 3")))
FIRSTAWAREmatrix## Branch 2 Branch 3
## Peer/Colleague 31 97
## Boss/Mentor/Supervisor 16 90
## Journal 55 234
## Course/Workshop 32 105
## Online 37 66
## Other 14 43#Looks at free text responses
table(strobeCOMPLETE$B3_FirstAware_FreeText)##
## a manuscript that used Strobe
## 1
## as a journal editor
## 1
## Can't recall
## 1
## can't remember
## 1
## Can't remember
## 1
## can't remember!
## 1
## cannot recall
## 1
## Chanced upon it during my reading
## 1
## Don't exactly recall.
## 1
## Don't recall now
## 1
## dont really remember
## 1
## Dont remember
## 1
## During a Master's in Health Science Statistics
## 1
## editorial work
## 1
## Epidemiology conference
## 1
## From a systematic search of reporting guidelines
## 1
## From the literature
## 1
## grad school
## 1
## I am familiar with other reporting guidelines through the Equator network
## 1
## I am member of an Ethical Committeee and we use STROBE to evaluate studies
## 1
## I cannot recall - possibly through my network or via PubMed but I use it most of the time.
## 1
## I don't know anymore, probably both courses and peers.
## 1
## I hear Mattias Egger in a conference, and I was doing my PhD, and decided STROBE will guide my thesis structure. It did!
## 1
## I learned about it during my studies
## 1
## I learned about it from reading the methods sections in various journal articles in my field
## 1
## I participated at the first meeting of the Strobe Working group in Bristol
## 1
## I read about it in journals
## 1
## I read the seminal STROBE paper when it was published
## 1
## I saw STROBE articles when they got published
## 1
## I teach a class on reading/interpreting the medical literature. Consequently, I keep myself generally aware of the reporting guidelines.
## 1
## I was part of the original STROBE team
## 1
## I work as an editor, and use it all the time! Don't remember since when!
## 1
## in preparing a class
## 1
## Master's class
## 1
## no recall
## 1
## Referenced in a paper I read
## 1
## Saw the original publication
## 1
## Searching methods to report papers
## 1
## since doing systematic reviews I am aware of the guidelines for the different type of studies
## 1
## Through my formal training in Epidemiology
## 1
## Unclear where I first became aware of it
## 1
## Used it in research + editor of journal, taught about it etc
## 1
## While doing the research for a class I was teaching in quality appraisal of manuscripts
## 1table(strobeCOMPLETE$B2_FirstAware_FreeText)##
## As an Editor
## 1
## Conference presentation on reporting guidelines
## 1
## Dixon WG, Carmona L, Finckh A, et al. EULAR points to consider when establishing, analysing and reporting safety data of biologics registers in rheumatology. Ann Rheum Dis 2010;69:1596â602.
## 1
## don't recall
## 1
## I don't remember
## 1
## I learned about it when reviewing a manuscript
## 1
## I saw other people using it
## 1
## Not sure
## 1
## read about it in a journal article
## 1
## Read about it in APHA journal
## 1
## read an article bout it
## 1
## Referred in manuscripts
## 1
## Scientific Literature
## 1
## Working on a systematic review, it was mentioned in one of the included articles
## 1##Use Estimates and Reasons for Not Using How often does branch 3 use STROBE?
table(strobeCOMPLETE$B3_UseEstimate)##
## 1 2 3 4 5
## 5 305 134 118 73b3usematrix = matrix(c(5,305,134,118,73),
nrow = 5, ncol = 1,
dimnames = list(c("Never", "< a quarter", "~ half", "> 3/4", "All"), c("Branch 3")))
b3usematrix## Branch 3
## Never 5
## < a quarter 305
## ~ half 134
## > 3/4 118
## All 73Why has branch 2 not used STROBE before?
table(strobeCOMPLETE$B2_ReasonNotUse_NoBenefit)##
## 1
## 26table(strobeCOMPLETE$B2_ReasonNotUse_NoRules)##
## 2
## 25table(strobeCOMPLETE$B2_ReasonNotUse_HardToUnderstand)##
## 3
## 11table(strobeCOMPLETE$B2_ReasonNotUse_WordCount)##
## 4
## 20table(strobeCOMPLETE$B2_ReasonNotUse_Format)##
## 5
## 16table(strobeCOMPLETE$B2_ReasonNotUse_CoAuthors)##
## 6
## 45table(strobeCOMPLETE$B2_ReasonNotUse_NegPeerReview)##
## 7
## 1table(strobeCOMPLETE$B2_ReasonNotUse_Journals)##
## 8
## 98table(strobeCOMPLETE$B2_ReasonNotUse_NotMyType)##
## 9
## 25n_distinct(strobeCOMPLETE$B2_ReasonNotUse_Other)## [1] 35b2notusematrix = matrix(c(26,25,11,20,16,45,1,98,25,35),
nrow = 10, ncol = 1,
dimnames = list(c("My writing wouldn't benefit", "No strict rules", "Hard to understand", "Word count", "Format is difficult", "CoAuthors don't use", "More negative PR", "Journals don't require", "Doesn't work for my study type", "Other"), c("Branch 2")))
b2notusematrix## Branch 2
## My writing wouldn't benefit 26
## No strict rules 25
## Hard to understand 11
## Word count 20
## Format is difficult 16
## CoAuthors don't use 45
## More negative PR 1
## Journals don't require 98
## Doesn't work for my study type 25
## Other 35##Motivations
#Self Motivation
table(strobeCOMPLETE$B1_STROBEMotiv_Self)##
## 1
## 128table(strobeCOMPLETE$B2_STROBEMotiv_Self)##
## 1
## 55table(strobeCOMPLETE$B3_STROBEMotiv_Self)##
## 1
## 308#CoAuthor Motivation
table(strobeCOMPLETE$B1_STROBE_Motiv_CoAuthors)##
## 2
## 57table(strobeCOMPLETE$B2_STROBE_Motiv_CoAuthors)##
## 2
## 72table(strobeCOMPLETE$B3_STROBE_Motiv_CoAuthors)##
## 2
## 116#Journal Motivation
table(strobeCOMPLETE$B1_STROBEMotiv_Journal)##
## 3
## 104table(strobeCOMPLETE$B2_STROBEMotiv_Journal)##
## 3
## 134table(strobeCOMPLETE$B3_STROBEMotiv_Journal)##
## 3
## 376#Journal Peer Review Motivation
table(strobeCOMPLETE$B1_STROBEMotiv_PeerReview)##
## 4
## 82table(strobeCOMPLETE$B2_STROBEMotiv_PeerReview)##
## 4
## 90table(strobeCOMPLETE$B3_STROBEMotiv_PeerReview)##
## 4
## 77#Free Response CHECK THESE BECAUSE N_DISTINCT SEEMS TO ADD 1 FOR SOME REASON
n_distinct(strobeCOMPLETE$B1_STROBEMotiv_FreeText)## [1] 8n_distinct(strobeCOMPLETE$B2_STROBEMotiv_FreeText)## [1] 8n_distinct(strobeCOMPLETE$B3_STROBEMotiv_FreeText)## [1] 44table(strobeCOMPLETE$B1_STROBEMotiv_FreeText)##
## As soon as I know it I think that it will be useful
## 1
## If I thought it was advancing the golbal research agend and if it was easy to access
## 1
## If it is interesting
## 1
## n.a.
## 1
## NIH trials have until recently not funded data for those survey but not eligible for a trial. power aruba trial published those surveyed showing that only a small percentage were actually eligible for the trail of whom 61% were recruited v our award was for being accused of failing to recruit more than 10% of those surveyed. power efferdent transparency proved to be a requirement that we explain these points in each publication
## 1
## To teach my mentees how to write a good manuscript
## 1
## Valuable when outlining presentation of research findings
## 1table(strobeCOMPLETE$B2_STROBEMotiv_FreeText)##
## if I get more familiar with STROBE
## 1
## If i had to
## 1
## If I were doing a meta-analysis I would apply STREGA or STROBE
## 1
## If it was a better checklist
## 1
## If it was required by funders for interim reports / somehow built into the grant writing / reporting process
## 1
## If it were more widely used in the field
## 1
## More knowledge about STROBE
## 1table(strobeCOMPLETE$B3_STROBEMotiv_FreeText)##
## A PI suggested using it when developing a study protocol
## 1
## ã
## 1
## As above
## 1
## As above - cannot recall.
## 1
## as journal editor
## 1
## best practices
## 1
## can't remember
## 1
## colleague suggested it
## 1
## concordant with my views on transparency of reporting
## 1
## Encouraged in post-doctoral training
## 1
## Ethical Committee suggetsion
## 1
## Helps standardise science especially observational studies
## 1
## I am a great supporter of Strobe. It is a first step to improve transparancy and accountability in observational epidemiology
## 1
## I am a medical writer who strongly advices on the use of strobe
## 1
## I believe reporting guidelines should always be used
## 1
## I do not remember
## 1
## I find that my manuscripts are better when using it
## 1
## I have my students use it for their studies.
## 1
## I have tought the use of strobe in classes
## 1
## I make my undergraduate students use it for assessing article reporting standards
## 1
## I used it for a Systematic Review of observational studies by my own decision
## 1
## I was doing my PhD when this came about, and this was extremely useful.
## 1
## I was part of the team that prepared the original STROBE statement
## 1
## I was taught to always use STROBE in my graduate studies
## 1
## Iâm Journal Editor as well as researcher so I work with authors on compliance w STROBE
## 1
## in class
## 1
## Is a good quality check, even if journals do not require it
## 1
## It's a useful tool for students and early-career investigators with little experience writing manuscripts.
## 1
## It provided a comprehensive framework to reference development and adequacy of our observational studies
## 1
## it provided standardized and valuable guidance
## 1
## It was a requirement for a writing course that I use STROBE
## 1
## Learning about it on my MPH
## 1
## Making course material; heath policy reports
## 1
## My course instructor asked us to use the STROBE checklist for manuscripts we wrote in her class
## 1
## My Supervisors told me about it
## 1
## Not actually used it
## 1
## Others advocate using reporting checklists prior to journal submission
## 1
## suggested by faculty
## 1
## To improve quality of the manuscript
## 1
## To improve the quality of my manuscript
## 1
## Training young researchers
## 1
## Use it with MPH & PhD students early in their projects to help them grasp important principles of how to think about epidemiological research and how to accurately report it.
## 1
## While considering a study protocol
## 1#Non comparable responses
table(strobeCOMPLETE$B1_STROBEMotiv_SocialNorm)##
## 5
## 44table(strobeCOMPLETE$B1_STROBEMotiv_Mentor)##
## 6
## 40table(strobeCOMPLETE$B2_STROBEMotiv_Incentivized)##
## 5
## 28table(strobeCOMPLETE$B2_STROBEMotiv_Feedback)##
## 6
## 35MOTIVATORSmatrix = matrix(c(128,55,308,57,72,116,104,134,376,82,90,77,NA,28,NA,NA,35,NA,8,8,44,44,NA,NA,40, NA, NA),
nrow = 9,
ncol = 3,
byrow = TRUE,
dimnames = list(c("Self", "CoAuthors", "Journal", "Journal Peer Review", "Incentivized", "Immediate Feedback", "Free Text", "Social Norm", "Mentor/Supervisor"), c("Branch 1", "Branch 2", "Branch 3")))
MOTIVATORSmatrix## Branch 1 Branch 2 Branch 3
## Self 128 55 308
## CoAuthors 57 72 116
## Journal 104 134 376
## Journal Peer Review 82 90 77
## Incentivized NA 28 NA
## Immediate Feedback NA 35 NA
## Free Text 8 8 44
## Social Norm 44 NA NA
## Mentor/Supervisor 40 NA NA##Research Stage
#During which stage(s) of the research process would you consider using/have you used strobe?
table(strobeCOMPLETE$B1_StageResearch_None)##
## 1
## 22table(strobeCOMPLETE$B2_StageResearch_None)##
## 1
## 10table(strobeCOMPLETE$B1_StageResearch_Protocol)##
## 2
## 126table(strobeCOMPLETE$B2_StageResearch_Protocol)##
## 2
## 110table(strobeCOMPLETE$B3_StageResearch_Protocol)##
## 1
## 239table(strobeCOMPLETE$B1_StageResearch_Grant)##
## 3
## 76table(strobeCOMPLETE$B2_StageResearch_Grant)##
## 3
## 61table(strobeCOMPLETE$B3_StageResearch_Grant)##
## 2
## 89table(strobeCOMPLETE$B1_StageResearch_Writing)##
## 4
## 122table(strobeCOMPLETE$B2_StageResearch_Writing)##
## 4
## 126table(strobeCOMPLETE$B3_StageResearch_Writing)##
## 3
## 451table(strobeCOMPLETE$B1_StageResearch_CheckManuscript)##
## 5
## 98table(strobeCOMPLETE$B2_StageResearch_CheckManuscript)##
## 5
## 80table(strobeCOMPLETE$B3_StageResearch_CheckManuscript)##
## 4
## 439table(strobeCOMPLETE$B1_StageResearch_EvaluatePR)##
## 6
## 70table(strobeCOMPLETE$B2_StageResearch_EvaluatePR)##
## 6
## 69table(strobeCOMPLETE$B3_StageResearch_EvaluatePR)##
## 5
## 243StageUsematrix = matrix(c(22,10,NA,126,110,239,76,61,89,122,126,451,98,80,439,70,69,243),
nrow = 6, ncol = 3, byrow = TRUE,
dimnames = list(c("Not Consider", "Protocol/Design", "Grant", "Manuscript", "After Completing/Check", "Evaluating Article"), c("Branch 1", "Branch 2", "Branch 3")))
StageUsematrix## Branch 1 Branch 2 Branch 3
## Not Consider 22 10 NA
## Protocol/Design 126 110 239
## Grant 76 61 89
## Manuscript 122 126 451
## After Completing/Check 98 80 439
## Evaluating Article 70 69 243#Likert Scales This recodes all likert scale items to be positive. It changes the scales from -3 to 3 to 1 through 7. strobeCOMPLETE is the dataset with only those who completed the entire survey. ##Recode likert scales
strobeCOMPLETEpos <- strobeCOMPLETE %>%
mutate_at(c('B1_PE1_Useful', 'B1_PE2_WriteFaster', 'B1_PE3_IncProductivity', 'B1_PE4_IncPubChances', 'B1_PE5_PosPR', 'B1_PE6_EasierWrite', 'B1_PE7_ImproveQuality', 'B1_PE8_MoreEfficient', 'B1_PE9_IncQualSameEffort', 'B1_EE1_EasyToUse', 'B1_EE2_ClearUnderstandable', 'B1_EE3_BecomeSkillful', 'B1_EE4_TooMuchTime', 'B1_EE5_TooComplicated', 'B1_EE6_TooLongToLearn', 'B1_SI1_Peers', 'B1_SI2_ResClimate', 'B1_SI3_Superiors', 'B1_SI4_Journals', 'B1_SI5_Field', 'B1_FC1_Knowledge', 'B1_FC2_WorkflowCompatibility', 'B1_FC3_EasyToUse', 'B1_FC4_FitsWellWithWork', 'B1_BehIntUse', 'B2_PE1_Useful', 'B2_PE2_WriteFaster', 'B2_PE3_IncProductivity', 'B2_PE4_IncPubChances', 'B2_PE5_PosPR', 'B2_PE6_EasierWrite', 'B2_PE7_ImproveQuality', 'B2_PE8_MoreEfficient', 'B2_PE9_IncQualSameEffort', 'B2_EE1_EasyToUse', 'B2_EE2_ClearUnderstandable', 'B2_EE3_BecomeSkillful', 'B2_EE4_TooMuchTime', 'B2_EE5_TooComplicated', 'B2_EE6_TooLongToLearn', 'B2_SI1_Peers', 'B2_SI2_ResClimate', 'B2_SI3_Superiors', 'B2_SI4_Journals', 'B2_SI5_Field', 'B2_FC1_Knowledge', 'B2_FC2_WorkflowCompatibility', 'B2_FC3_EasyToUse', 'B2_FC4_FitsWellWithWork', 'B2_BehIntUse', 'B3_PE1_Useful', 'B3_PE2_WriteFaster', 'B3_PE3_IncProductivity', 'B3_PE4_IncPubChances', 'B3_PE5_PosPR', 'B3_PE6_EasierWrite', 'B3_PE7_ImproveQuality', 'B3_PE8_MoreEfficient', 'B3_PE9_IncQualSameEffort', 'B3_EE1_EasyToUse', 'B3_EE2_ClearUnderstandable', 'B3_EE3_BecomeSkillful', 'B3_EE4_TooMuchTime', 'B3_EE5_TooComplicated', 'B3_EE6_TooLongToLearn', 'B3_SI1_Peers', 'B3_SI2_ResClimate', 'B3_SI3_Superiors', 'B3_SI4_Journals', 'B3_SI5_Field', 'B3_FC1_Knowledge', 'B3_FC2_WorkflowCompatibility', 'B3_FC3_EasyToUse', 'B3_FC4_FitsWellWithWork', 'B3_BehIntUse'),
funs(recode(., `-3`= 1, `-2`= 2, `-1`= 3, `0`= 4, `1`= 5, `2`= 6, `3`= 7, .default = NaN)))## Warning: funs() is soft deprecated as of dplyr 0.8.0
## please use list() instead
##
## # Before:
## funs(name = f(.)
##
## # After:
## list(name = ~f(.))
## This warning is displayed once per session.##Reverse code likert scales Reverse code negatively worded questions as it affects calculations for factor analyses and composite subscale scores.
strobeCOMPLETEpos <- strobeCOMPLETEpos %>%
mutate_at(c("B1_EE5_TooComplicated", "B1_EE4_TooMuchTime", "B1_EE6_TooLongToLearn", "B2_EE5_TooComplicated", "B2_EE4_TooMuchTime", "B2_EE6_TooLongToLearn", "B3_EE5_TooComplicated", "B3_EE4_TooMuchTime", "B3_EE6_TooLongToLearn"),
funs(recode(., `1`= 7, `2`= 6, `3`= 5, `4`= 4, `5`= 3, `6`= 2, `7`= 1, .default = NaN)))
#creates subscales scores
strobeCOMPLETEpos <- strobeCOMPLETEpos %>%
mutate(
B1PE = (B1_PE1_Useful + B1_PE2_WriteFaster + B1_PE3_IncProductivity + B1_PE4_IncPubChances + B1_PE5_PosPR + B1_PE6_EasierWrite + B1_PE7_ImproveQuality + B1_PE8_MoreEfficient + B1_PE9_IncQualSameEffort) / 9,
B1EE = (B1_EE1_EasyToUse + B1_EE2_ClearUnderstandable + B1_EE3_BecomeSkillful + B1_EE4_TooMuchTime + B1_EE5_TooComplicated + B1_EE6_TooLongToLearn) / 6,
B1SI = (B1_SI1_Peers + B1_SI2_ResClimate + B1_SI3_Superiors + B1_SI4_Journals + B1_SI5_Field) / 5,
B1FC = (B1_FC1_Knowledge + B1_FC2_WorkflowCompatibility + B1_FC3_EasyToUse + B1_FC4_FitsWellWithWork) / 4,
B2PE = (B2_PE1_Useful + B2_PE2_WriteFaster + B2_PE3_IncProductivity + B2_PE4_IncPubChances + B2_PE5_PosPR + B2_PE6_EasierWrite + B2_PE7_ImproveQuality + B2_PE8_MoreEfficient + B2_PE9_IncQualSameEffort) / 9,
B2EE = (B2_EE1_EasyToUse + B2_EE2_ClearUnderstandable + B2_EE3_BecomeSkillful + B2_EE4_TooMuchTime + B2_EE5_TooComplicated + B2_EE6_TooLongToLearn) / 6,
B2SI = (B2_SI1_Peers + B2_SI2_ResClimate + B2_SI3_Superiors + B2_SI4_Journals + B2_SI5_Field) / 5,
B2FC = (B2_FC1_Knowledge + B2_FC2_WorkflowCompatibility + B2_FC3_EasyToUse + B2_FC4_FitsWellWithWork) / 4,
B3PE = (B3_PE1_Useful + B3_PE2_WriteFaster + B3_PE3_IncProductivity + B3_PE4_IncPubChances + B3_PE5_PosPR + B3_PE6_EasierWrite + B3_PE7_ImproveQuality + B3_PE8_MoreEfficient + B3_PE9_IncQualSameEffort) / 9,
B3EE = (B3_EE1_EasyToUse + B3_EE2_ClearUnderstandable + B3_EE3_BecomeSkillful + B3_EE4_TooMuchTime + B3_EE5_TooComplicated + B3_EE6_TooLongToLearn) / 6,
B3SI = (B3_SI1_Peers + B3_SI2_ResClimate + B3_SI3_Superiors + B3_SI4_Journals + B3_SI5_Field) / 5,
B3FC = (B3_FC1_Knowledge + B3_FC2_WorkflowCompatibility + B3_FC3_EasyToUse + B3_FC4_FitsWellWithWork) / 4)Splits datasets into subgroups(branches) that only contain the likert columns and branching question
strobeCOMPLETEB1 <- strobeCOMPLETEpos[strobeCOMPLETEpos$STROBEFamiliarity == 1, ]
strobeCOMPLETEB2 <- strobeCOMPLETEpos[strobeCOMPLETEpos$STROBEFamiliarity == 2, ]
strobeCOMPLETEB3 <- strobeCOMPLETEpos[strobeCOMPLETEpos$STROBEFamiliarity == 3, ]
B1likertcols <- names(strobeCOMPLETEB1) %in% c("B1_PE1_Useful", "B1_PE2_WriteFaster", "B1_PE3_IncProductivity", "B1_PE4_IncPubChances", "B1_PE5_PosPR", "B1_PE6_EasierWrite", "B1_PE7_ImproveQuality", "B1_PE8_MoreEfficient", "B1_PE9_IncQualSameEffort", "B1_EE1_EasyToUse", "B1_EE2_ClearUnderstandable", "B1_EE3_BecomeSkillful", "B1_EE4_TooMuchTime", "B1_EE5_TooComplicated", "B1_EE6_TooLongToLearn", "B1_SI1_Peers", "B1_SI2_ResClimate", "B1_SI3_Superiors", "B1_SI4_Journals", "B1_SI5_Field", "B1_FC1_Knowledge", "B1_FC2_WorkflowCompatibility", "B1_FC3_EasyToUse", "B1_FC4_FitsWellWithWork", "B1_BehIntUse", "B1PE", "B1EE", "B1SI", "B1FC", "STROBEFamiliarity")
B1likert <- strobeCOMPLETEB1[B1likertcols] #Dataset which contains only b1 likert variables
#Create subscale scores and summarize all columns in the dataset (mostly likert)
skim(B1likert)## Skim summary statistics
## n obs: 195
## n variables: 30
##
## -- Variable type:numeric ------------------------------------------------------------------------------
## variable missing complete n mean sd p0 p25
## B1_BehIntUse 0 195 195 4.66 1.37 1 4
## B1_EE1_EasyToUse 0 195 195 4.8 1.07 1 4
## B1_EE2_ClearUnderstandable 0 195 195 5.18 1.08 2 4
## B1_EE3_BecomeSkillful 0 195 195 4.98 1.09 2 4
## B1_EE4_TooMuchTime 0 195 195 4.2 1.24 1 3.5
## B1_EE5_TooComplicated 0 195 195 4.93 1.18 2 4
## B1_EE6_TooLongToLearn 0 195 195 4.71 1.21 1 4
## B1_FC1_Knowledge 0 195 195 4.52 1.55 1 4
## B1_FC2_WorkflowCompatibility 0 195 195 4.73 1.3 1 4
## B1_FC3_EasyToUse 0 195 195 4.83 1.16 1 4
## B1_FC4_FitsWellWithWork 0 195 195 4.78 1.19 1 4
## B1_PE1_Useful 0 195 195 5.21 1.26 1 4
## B1_PE2_WriteFaster 0 195 195 4.63 1.33 1 4
## B1_PE3_IncProductivity 0 195 195 4.37 1.26 1 4
## B1_PE4_IncPubChances 0 195 195 4.97 1.11 1 4
## B1_PE5_PosPR 0 195 195 4.89 1.13 1 4
## B1_PE6_EasierWrite 0 195 195 4.74 1.21 1 4
## B1_PE7_ImproveQuality 0 195 195 5.1 1.21 1 4
## B1_PE8_MoreEfficient 0 195 195 4.82 1.25 1 4
## B1_PE9_IncQualSameEffort 0 195 195 4.65 1.24 1 4
## B1_SI1_Peers 0 195 195 4.02 1.18 1 4
## B1_SI2_ResClimate 0 195 195 4.69 1.29 1 4
## B1_SI3_Superiors 0 195 195 3.87 1.33 1 3
## B1_SI4_Journals 0 195 195 4.99 1.06 1 4
## B1_SI5_Field 0 195 195 3.91 1.23 1 3
## B1EE 0 195 195 4.8 0.9 1.83 4
## B1FC 0 195 195 4.72 1.1 1.75 4
## B1PE 0 195 195 4.82 1.04 1 4.11
## B1SI 0 195 195 4.29 0.94 1.2 3.8
## STROBEFamiliarity 0 195 195 1 0 1 1
## p50 p75 p100 hist
## 5 6 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2587><U+2587><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2586><U+2586><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2585><U+2583><U+2581><U+2587><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2586><U+2586><U+2581><U+2587><U+2581>
## 4 5 6 <U+2581><U+2582><U+2581><U+2583><U+2587><U+2581><U+2583><U+2585>
## 5 6 7 <U+2581><U+2582><U+2581><U+2587><U+2586><U+2581><U+2587><U+2582>
## 5 6 7 <U+2581><U+2581><U+2583><U+2587><U+2581><U+2586><U+2587><U+2581>
## 5 6 7 <U+2581><U+2582><U+2583><U+2586><U+2581><U+2585><U+2587><U+2581>
## 5 6 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2586><U+2587><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2586><U+2587><U+2581>
## 5 6 7 <U+2581><U+2581><U+2582><U+2587><U+2581><U+2586><U+2587><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2585><U+2581><U+2586><U+2587><U+2582>
## 5 6 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2587><U+2585><U+2582>
## 4 5 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2585><U+2583><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2587><U+2586><U+2582>
## 5 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2587><U+2586><U+2582>
## 5 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2586><U+2586><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2585><U+2581><U+2586><U+2587><U+2582>
## 5 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2586><U+2587><U+2581>
## 5 6 7 <U+2581><U+2581><U+2582><U+2587><U+2581><U+2586><U+2585><U+2581>
## 4 5 7 <U+2581><U+2582><U+2581><U+2587><U+2581><U+2583><U+2582><U+2581>
## 5 6 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2587><U+2587><U+2581>
## 4 4 7 <U+2581><U+2582><U+2581><U+2587><U+2581><U+2582><U+2582><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2586><U+2587><U+2581>
## 4 4 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2582><U+2582><U+2581>
## 5 5.5 6.67 <U+2581><U+2581><U+2581><U+2587><U+2585><U+2587><U+2586><U+2582>
## 4.75 5.5 7 <U+2581><U+2582><U+2582><U+2587><U+2587><U+2585><U+2586><U+2582>
## 4.78 5.61 7 <U+2581><U+2581><U+2581><U+2585><U+2587><U+2587><U+2587><U+2582>
## 4.4 5 6.4 <U+2581><U+2581><U+2581><U+2585><U+2587><U+2585><U+2585><U+2581>
## 1 1 1 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>summary(B1likert)## STROBEFamiliarity B1_PE1_Useful B1_PE2_WriteFaster
## Min. :1 Min. :1.000 Min. :1.000
## 1st Qu.:1 1st Qu.:4.000 1st Qu.:4.000
## Median :1 Median :5.000 Median :5.000
## Mean :1 Mean :5.205 Mean :4.626
## 3rd Qu.:1 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :1 Max. :7.000 Max. :7.000
## B1_PE3_IncProductivity B1_PE4_IncPubChances B1_PE5_PosPR
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :5.000 Median :5.000
## Mean :4.374 Mean :4.974 Mean :4.887
## 3rd Qu.:5.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B1_PE6_EasierWrite B1_PE7_ImproveQuality B1_PE8_MoreEfficient
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :5.000 Median :5.000 Median :5.000
## Mean :4.738 Mean :5.103 Mean :4.815
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B1_PE9_IncQualSameEffort B1_EE1_EasyToUse B1_EE2_ClearUnderstandable
## Min. :1.000 Min. :1.0 Min. :2.000
## 1st Qu.:4.000 1st Qu.:4.0 1st Qu.:4.000
## Median :5.000 Median :5.0 Median :5.000
## Mean :4.651 Mean :4.8 Mean :5.185
## 3rd Qu.:6.000 3rd Qu.:6.0 3rd Qu.:6.000
## Max. :7.000 Max. :7.0 Max. :7.000
## B1_EE3_BecomeSkillful B1_EE4_TooMuchTime B1_EE5_TooComplicated
## Min. :2.000 Min. :1.0 Min. :2.000
## 1st Qu.:4.000 1st Qu.:3.5 1st Qu.:4.000
## Median :5.000 Median :4.0 Median :5.000
## Mean :4.985 Mean :4.2 Mean :4.933
## 3rd Qu.:6.000 3rd Qu.:5.0 3rd Qu.:6.000
## Max. :7.000 Max. :6.0 Max. :7.000
## B1_EE6_TooLongToLearn B1_SI1_Peers B1_SI2_ResClimate B1_SI3_Superiors
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:3.000
## Median :5.000 Median :4.000 Median :5.000 Median :4.000
## Mean :4.708 Mean :4.015 Mean :4.692 Mean :3.867
## 3rd Qu.:6.000 3rd Qu.:5.000 3rd Qu.:6.000 3rd Qu.:4.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## B1_SI4_Journals B1_SI5_Field B1_FC1_Knowledge
## Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:4.00 1st Qu.:3.000 1st Qu.:4.000
## Median :5.00 Median :4.000 Median :5.000
## Mean :4.99 Mean :3.908 Mean :4.518
## 3rd Qu.:6.00 3rd Qu.:4.000 3rd Qu.:6.000
## Max. :7.00 Max. :7.000 Max. :7.000
## B1_FC2_WorkflowCompatibility B1_FC3_EasyToUse B1_FC4_FitsWellWithWork
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :5.000 Median :5.000 Median :5.000
## Mean :4.728 Mean :4.831 Mean :4.785
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B1_BehIntUse B1PE B1EE B1SI
## Min. :1.000 Min. :1.000 Min. :1.833 Min. :1.200
## 1st Qu.:4.000 1st Qu.:4.111 1st Qu.:4.000 1st Qu.:3.800
## Median :5.000 Median :4.778 Median :5.000 Median :4.400
## Mean :4.662 Mean :4.819 Mean :4.802 Mean :4.294
## 3rd Qu.:6.000 3rd Qu.:5.611 3rd Qu.:5.500 3rd Qu.:5.000
## Max. :7.000 Max. :7.000 Max. :6.667 Max. :6.400
## B1FC
## Min. :1.750
## 1st Qu.:4.000
## Median :4.750
## Mean :4.715
## 3rd Qu.:5.500
## Max. :7.000#Create subscale scores and summarize all columns in the dataset (mostly likert)
B2likertcols <- names(strobeCOMPLETEB2) %in% c("B2_PE1_Useful", "B2_PE2_WriteFaster", "B2_PE3_IncProductivity", "B2_PE4_IncPubChances", "B2_PE5_PosPR", "B2_PE6_EasierWrite", "B2_PE7_ImproveQuality", "B2_PE8_MoreEfficient", "B2_PE9_IncQualSameEffort", "B2_EE1_EasyToUse", "B2_EE2_ClearUnderstandable", "B2_EE3_BecomeSkillful", "B2_EE4_TooMuchTime", "B2_EE5_TooComplicated", "B2_EE6_TooLongToLearn", "B2_SI1_Peers", "B2_SI2_ResClimate", "B2_SI3_Superiors", "B2_SI4_Journals", "B2_SI5_Field", "B2_FC1_Knowledge", "B2_FC2_WorkflowCompatibility", "B2_FC3_EasyToUse", "B2_FC4_FitsWellWithWork", "B2_BehIntUse", "B2PE", "B2EE", "B2SI", "B2FC", "STROBEFamiliarity")
B2likert <- strobeCOMPLETEB2[B2likertcols] #Dataset which contains only b2 likert variables
skim(B2likert)## Skim summary statistics
## n obs: 185
## n variables: 30
##
## -- Variable type:numeric ------------------------------------------------------------------------------
## variable missing complete n mean sd p0 p25
## B2_BehIntUse 0 185 185 4.25 1.52 1 3
## B2_EE1_EasyToUse 0 185 185 4.06 0.99 1 4
## B2_EE2_ClearUnderstandable 0 185 185 4.42 1.09 2 4
## B2_EE3_BecomeSkillful 0 185 185 4.61 1.08 2 4
## B2_EE4_TooMuchTime 0 185 185 3.78 1.14 1 3
## B2_EE5_TooComplicated 0 185 185 4.37 1.17 2 4
## B2_EE6_TooLongToLearn 0 185 185 4.14 1.13 2 4
## B2_FC1_Knowledge 0 185 185 4.21 1.64 1 3
## B2_FC2_WorkflowCompatibility 0 185 185 4.36 1.26 1 4
## B2_FC3_EasyToUse 0 185 185 4.3 1.06 1 4
## B2_FC4_FitsWellWithWork 0 185 185 4.28 1.19 1 4
## B2_PE1_Useful 0 185 185 4.53 1.23 1 4
## B2_PE2_WriteFaster 0 185 185 3.81 1.13 1 3
## B2_PE3_IncProductivity 0 185 185 3.75 1.04 1 3
## B2_PE4_IncPubChances 0 185 185 4.53 1.18 1 4
## B2_PE5_PosPR 0 185 185 4.57 1.14 1 4
## B2_PE6_EasierWrite 0 185 185 4.05 1.14 1 4
## B2_PE7_ImproveQuality 0 185 185 4.86 1.18 1 4
## B2_PE8_MoreEfficient 0 185 185 4.31 1.19 1 4
## B2_PE9_IncQualSameEffort 0 185 185 4.18 1.16 1 4
## B2_SI1_Peers 0 185 185 3.46 1.37 1 2
## B2_SI2_ResClimate 0 185 185 4.16 1.41 1 3
## B2_SI3_Superiors 0 185 185 3.31 1.39 1 2
## B2_SI4_Journals 0 185 185 4.53 1.23 1 4
## B2_SI5_Field 0 185 185 3.77 1.27 1 3
## B2EE 0 185 185 4.23 0.85 2 3.83
## B2FC 0 185 185 4.29 1.05 1.25 3.5
## B2PE 0 185 185 4.29 0.93 1 4
## B2SI 0 185 185 3.85 1.02 1.2 3.2
## STROBEFamiliarity 0 185 185 2 0 2 2
## p50 p75 p100 hist
## 4 5 7 <U+2581><U+2585><U+2583><U+2587><U+2581><U+2587><U+2585><U+2582>
## 4 4 7 <U+2581><U+2581><U+2582><U+2587><U+2581><U+2582><U+2581><U+2581>
## 4 5 7 <U+2581><U+2582><U+2581><U+2587><U+2582><U+2581><U+2583><U+2581>
## 4 5 7 <U+2581><U+2582><U+2581><U+2587><U+2585><U+2581><U+2585><U+2581>
## 4 4 7 <U+2581><U+2582><U+2583><U+2587><U+2581><U+2582><U+2581><U+2581>
## 4 5 7 <U+2581><U+2582><U+2581><U+2587><U+2582><U+2581><U+2583><U+2581>
## 4 5 7 <U+2581><U+2583><U+2581><U+2587><U+2582><U+2581><U+2582><U+2581>
## 4 6 7 <U+2581><U+2585><U+2586><U+2585><U+2581><U+2585><U+2587><U+2582>
## 4 5 7 <U+2581><U+2582><U+2583><U+2587><U+2581><U+2585><U+2583><U+2581>
## 4 5 7 <U+2581><U+2581><U+2582><U+2587><U+2581><U+2582><U+2582><U+2581>
## 4 5 7 <U+2581><U+2581><U+2582><U+2587><U+2581><U+2583><U+2582><U+2581>
## 4 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2583><U+2585><U+2581>
## 4 4 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2582><U+2581><U+2581>
## 4 4 6 <U+2581><U+2582><U+2581><U+2582><U+2587><U+2581><U+2581><U+2581>
## 4 5 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2586><U+2583><U+2581>
## 5 5 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2586><U+2585><U+2581>
## 4 5 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2583><U+2581><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2586><U+2586><U+2582>
## 4 5 7 <U+2581><U+2581><U+2582><U+2587><U+2581><U+2583><U+2583><U+2581>
## 4 5 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2582><U+2582><U+2581>
## 4 4 7 <U+2582><U+2585><U+2582><U+2587><U+2581><U+2582><U+2582><U+2581>
## 4 5 7 <U+2581><U+2583><U+2583><U+2587><U+2581><U+2586><U+2583><U+2581>
## 4 4 7 <U+2582><U+2586><U+2582><U+2587><U+2581><U+2581><U+2582><U+2581>
## 5 5 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2587><U+2585><U+2581>
## 4 5 7 <U+2581><U+2583><U+2583><U+2587><U+2581><U+2583><U+2582><U+2581>
## 4 4.67 6.67 <U+2581><U+2582><U+2582><U+2587><U+2582><U+2582><U+2581><U+2581>
## 4 5 7 <U+2581><U+2581><U+2583><U+2587><U+2585><U+2582><U+2583><U+2581>
## 4.22 4.89 6.67 <U+2581><U+2581><U+2581><U+2582><U+2587><U+2583><U+2582><U+2581>
## 4 4.4 6.4 <U+2581><U+2582><U+2583><U+2587><U+2587><U+2583><U+2582><U+2581>
## 2 2 2 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>summary(B2likert)## STROBEFamiliarity B2_PE1_Useful B2_PE2_WriteFaster
## Min. :2 Min. :1.00 Min. :1.000
## 1st Qu.:2 1st Qu.:4.00 1st Qu.:3.000
## Median :2 Median :4.00 Median :4.000
## Mean :2 Mean :4.53 Mean :3.811
## 3rd Qu.:2 3rd Qu.:6.00 3rd Qu.:4.000
## Max. :2 Max. :7.00 Max. :7.000
## B2_PE3_IncProductivity B2_PE4_IncPubChances B2_PE5_PosPR
## Min. :1.000 Min. :1.00 Min. :1.000
## 1st Qu.:3.000 1st Qu.:4.00 1st Qu.:4.000
## Median :4.000 Median :4.00 Median :5.000
## Mean :3.751 Mean :4.53 Mean :4.573
## 3rd Qu.:4.000 3rd Qu.:5.00 3rd Qu.:5.000
## Max. :6.000 Max. :7.00 Max. :7.000
## B2_PE6_EasierWrite B2_PE7_ImproveQuality B2_PE8_MoreEfficient
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :5.000 Median :4.000
## Mean :4.049 Mean :4.859 Mean :4.308
## 3rd Qu.:5.000 3rd Qu.:6.000 3rd Qu.:5.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B2_PE9_IncQualSameEffort B2_EE1_EasyToUse B2_EE2_ClearUnderstandable
## Min. :1.000 Min. :1.000 Min. :2.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :4.178 Mean :4.065 Mean :4.422
## 3rd Qu.:5.000 3rd Qu.:4.000 3rd Qu.:5.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B2_EE3_BecomeSkillful B2_EE4_TooMuchTime B2_EE5_TooComplicated
## Min. :2.000 Min. :1.000 Min. :2.000
## 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :4.605 Mean :3.778 Mean :4.373
## 3rd Qu.:5.000 3rd Qu.:4.000 3rd Qu.:5.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B2_EE6_TooLongToLearn B2_SI1_Peers B2_SI3_Superiors B2_SI2_ResClimate
## Min. :2.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:2.000 1st Qu.:2.000 1st Qu.:3.000
## Median :4.000 Median :4.000 Median :4.000 Median :4.000
## Mean :4.141 Mean :3.465 Mean :3.308 Mean :4.157
## 3rd Qu.:5.000 3rd Qu.:4.000 3rd Qu.:4.000 3rd Qu.:5.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## B2_SI4_Journals B2_SI5_Field B2_FC1_Knowledge
## Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:4.00 1st Qu.:3.000 1st Qu.:3.000
## Median :5.00 Median :4.000 Median :4.000
## Mean :4.53 Mean :3.773 Mean :4.211
## 3rd Qu.:5.00 3rd Qu.:5.000 3rd Qu.:6.000
## Max. :7.00 Max. :7.000 Max. :7.000
## B2_FC2_WorkflowCompatibility B2_FC3_EasyToUse B2_FC4_FitsWellWithWork
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :4.000 Median :4.000 Median :4.000
## Mean :4.362 Mean :4.297 Mean :4.276
## 3rd Qu.:5.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B2_BehIntUse B2PE B2EE B2SI
## Min. :1.000 Min. :1.000 Min. :2.000 Min. :1.200
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:3.833 1st Qu.:3.200
## Median :4.000 Median :4.222 Median :4.000 Median :4.000
## Mean :4.254 Mean :4.288 Mean :4.231 Mean :3.846
## 3rd Qu.:5.000 3rd Qu.:4.889 3rd Qu.:4.667 3rd Qu.:4.400
## Max. :7.000 Max. :6.667 Max. :6.667 Max. :6.400
## B2FC
## Min. :1.250
## 1st Qu.:3.500
## Median :4.000
## Mean :4.286
## 3rd Qu.:5.000
## Max. :7.000B3likertcols <- names(strobeCOMPLETEB3) %in% c("B3_PE1_Useful", "B3_PE2_WriteFaster", "B3_PE3_IncProductivity", "B3_PE4_IncPubChances", "B3_PE5_PosPR", "B3_PE6_EasierWrite", "B3_PE7_ImproveQuality", "B3_PE8_MoreEfficient", "B3_PE9_IncQualSameEffort", "B3_EE1_EasyToUse", "B3_EE2_ClearUnderstandable", "B3_EE3_BecomeSkillful", "B3_EE4_TooMuchTime", "B3_EE5_TooComplicated", "B3_EE6_TooLongToLearn", "B3_SI1_Peers", "B3_SI2_ResClimate", "B3_SI3_Superiors", "B3_SI4_Journals", "B3_SI5_Field", "B3_FC1_Knowledge", "B3_FC2_WorkflowCompatibility", "B3_FC3_EasyToUse", "B3_FC4_FitsWellWithWork", "B3_BehIntUse", "B3PE", "B3EE", "B3SI", "B3FC", "STROBEFamiliarity")
B3likert <- strobeCOMPLETEB3[B3likertcols] #Dataset which contains only b3 likert variables
skim(B3likert)## Skim summary statistics
## n obs: 635
## n variables: 30
##
## -- Variable type:numeric ------------------------------------------------------------------------------
## variable missing complete n mean sd p0 p25
## B3_BehIntUse 0 635 635 5.54 1.32 1 5
## B3_EE1_EasyToUse 0 635 635 5.21 1.24 1 5
## B3_EE2_ClearUnderstandable 0 635 635 5.5 1.06 1 5
## B3_EE3_BecomeSkillful 0 635 635 5.35 1.08 1 5
## B3_EE4_TooMuchTime 0 635 635 4.7 1.44 1 4
## B3_EE5_TooComplicated 0 635 635 5.51 1.22 1 5
## B3_EE6_TooLongToLearn 0 635 635 5.39 1.32 1 5
## B3_FC1_Knowledge 0 635 635 5.89 0.92 2 6
## B3_FC2_WorkflowCompatibility 0 635 635 5.47 1.14 1 5
## B3_FC3_EasyToUse 0 635 635 5.36 1.13 1 5
## B3_FC4_FitsWellWithWork 0 635 635 5.16 1.25 1 4
## B3_PE1_Useful 0 635 635 5.64 1.18 1 5
## B3_PE2_WriteFaster 0 635 635 4.43 1.45 1 4
## B3_PE3_IncProductivity 0 635 635 4.11 1.34 1 4
## B3_PE4_IncPubChances 0 635 635 5.3 1.2 1 5
## B3_PE5_PosPR 0 635 635 5.12 1.19 1 4
## B3_PE6_EasierWrite 0 635 635 4.81 1.32 1 4
## B3_PE7_ImproveQuality 0 635 635 5.58 1.18 1 5
## B3_PE8_MoreEfficient 0 635 635 4.79 1.32 1 4
## B3_PE9_IncQualSameEffort 0 635 635 4.63 1.33 1 4
## B3_SI1_Peers 0 635 635 4.61 1.29 1 4
## B3_SI2_ResClimate 0 635 635 5.11 1.27 1 4
## B3_SI3_Superiors 0 635 635 4.45 1.41 1 4
## B3_SI4_Journals 0 635 635 5.63 1.04 1 5
## B3_SI5_Field 0 635 635 4.48 1.39 1 4
## B3EE 0 635 635 5.28 0.99 1.17 4.67
## B3FC 0 635 635 5.47 0.92 2 5
## B3PE 0 635 635 4.93 1 1 4.33
## B3SI 0 635 635 4.86 0.97 1 4.4
## STROBEFamiliarity 0 635 635 3 0 3 3
## p50 p75 p100 hist
## 6 6 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2587><U+2585>
## 6 6 7 <U+2581><U+2581><U+2582><U+2582><U+2581><U+2585><U+2587><U+2582>
## 6 6 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2587><U+2582>
## 6 6 7 <U+2581><U+2581><U+2581><U+2583><U+2581><U+2585><U+2587><U+2582>
## 5 6 7 <U+2581><U+2582><U+2583><U+2586><U+2581><U+2586><U+2587><U+2582>
## 6 6 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2587><U+2583>
## 6 6 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2587><U+2583>
## 6 6 7 <U+2581><U+2581><U+2581><U+2581><U+2582><U+2581><U+2587><U+2583>
## 6 6 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2587><U+2582>
## 6 6 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2585><U+2587><U+2582>
## 5 6 7 <U+2581><U+2581><U+2581><U+2583><U+2581><U+2585><U+2587><U+2582>
## 6 6 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2583><U+2587><U+2583>
## 4 6 7 <U+2581><U+2583><U+2583><U+2587><U+2581><U+2586><U+2586><U+2582>
## 4 5 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2583><U+2582><U+2581>
## 6 6 7 <U+2581><U+2581><U+2581><U+2583><U+2581><U+2586><U+2587><U+2582>
## 5 6 7 <U+2581><U+2581><U+2581><U+2586><U+2581><U+2587><U+2587><U+2582>
## 5 6 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2587><U+2587><U+2582>
## 6 6 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2585><U+2587><U+2583>
## 5 6 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2587><U+2587><U+2582>
## 5 6 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2586><U+2586><U+2582>
## 4 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2583><U+2586><U+2581>
## 5 6 7 <U+2581><U+2581><U+2581><U+2585><U+2581><U+2585><U+2587><U+2582>
## 4 6 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2582><U+2583><U+2581>
## 6 6 7 <U+2581><U+2581><U+2581><U+2581><U+2581><U+2585><U+2587><U+2582>
## 4 6 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2586><U+2586><U+2581>
## 5.5 6 7 <U+2581><U+2581><U+2581><U+2582><U+2583><U+2586><U+2587><U+2583>
## 5.75 6 7 <U+2581><U+2581><U+2581><U+2582><U+2583><U+2587><U+2587><U+2583>
## 5 5.67 7 <U+2581><U+2581><U+2581><U+2582><U+2586><U+2587><U+2586><U+2582>
## 4.8 5.6 7 <U+2581><U+2581><U+2582><U+2583><U+2586><U+2587><U+2586><U+2581>
## 3 3 3 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2581><U+2581><U+2581>summary(B3likert)## STROBEFamiliarity B3_PE1_Useful B3_PE2_WriteFaster
## Min. :3 Min. :1.000 Min. :1.00
## 1st Qu.:3 1st Qu.:5.000 1st Qu.:4.00
## Median :3 Median :6.000 Median :4.00
## Mean :3 Mean :5.636 Mean :4.43
## 3rd Qu.:3 3rd Qu.:6.000 3rd Qu.:6.00
## Max. :3 Max. :7.000 Max. :7.00
## B3_PE3_IncProductivity B3_PE4_IncPubChances B3_PE5_PosPR
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:5.000 1st Qu.:4.000
## Median :4.000 Median :6.000 Median :5.000
## Mean :4.113 Mean :5.302 Mean :5.117
## 3rd Qu.:5.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B3_PE6_EasierWrite B3_PE7_ImproveQuality B3_PE8_MoreEfficient
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:5.000 1st Qu.:4.000
## Median :5.000 Median :6.000 Median :5.000
## Mean :4.806 Mean :5.576 Mean :4.789
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B3_PE9_IncQualSameEffort B3_EE1_EasyToUse B3_EE2_ClearUnderstandable
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:5.000 1st Qu.:5.000
## Median :5.000 Median :6.000 Median :6.000
## Mean :4.631 Mean :5.213 Mean :5.504
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B3_EE3_BecomeSkillful B3_EE4_TooMuchTime B3_EE5_TooComplicated
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:5.000 1st Qu.:4.000 1st Qu.:5.000
## Median :6.000 Median :5.000 Median :6.000
## Mean :5.351 Mean :4.699 Mean :5.506
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B3_EE6_TooLongToLearn B3_SI1_Peers B3_SI3_Superiors B3_SI2_ResClimate
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:5.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :6.000 Median :4.000 Median :4.000 Median :5.000
## Mean :5.394 Mean :4.613 Mean :4.452 Mean :5.112
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## B3_SI4_Journals B3_SI5_Field B3_FC1_Knowledge
## Min. :1.000 Min. :1.000 Min. :2.00
## 1st Qu.:5.000 1st Qu.:4.000 1st Qu.:6.00
## Median :6.000 Median :4.000 Median :6.00
## Mean :5.625 Mean :4.476 Mean :5.89
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.00
## Max. :7.000 Max. :7.000 Max. :7.00
## B3_FC2_WorkflowCompatibility B3_FC3_EasyToUse B3_FC4_FitsWellWithWork
## Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:5.000 1st Qu.:5.000 1st Qu.:4.000
## Median :6.000 Median :6.000 Median :5.000
## Mean :5.469 Mean :5.361 Mean :5.164
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000
## B3_BehIntUse B3PE B3EE B3SI
## Min. :1.000 Min. :1.000 Min. :1.167 Min. :1.000
## 1st Qu.:5.000 1st Qu.:4.333 1st Qu.:4.667 1st Qu.:4.400
## Median :6.000 Median :5.000 Median :5.500 Median :4.800
## Mean :5.535 Mean :4.934 Mean :5.278 Mean :4.855
## 3rd Qu.:6.000 3rd Qu.:5.667 3rd Qu.:6.000 3rd Qu.:5.600
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## B3FC
## Min. :2.000
## 1st Qu.:5.000
## Median :5.750
## Mean :5.471
## 3rd Qu.:6.000
## Max. :7.000likertcols <- names(strobeCOMPLETEpos) %in% c('B1_PE1_Useful', 'B1_PE2_WriteFaster', 'B1_PE3_IncProductivity', 'B1_PE4_IncPubChances', 'B1_PE5_PosPR', 'B1_PE6_EasierWrite', 'B1_PE7_ImproveQuality', 'B1_PE8_MoreEfficient', 'B1_PE9_IncQualSameEffort', 'B1_EE1_EasyToUse', 'B1_EE2_ClearUnderstandable', 'B1_EE3_BecomeSkillful', 'B1_EE4_TooMuchTime', 'B1_EE5_TooComplicated', 'B1_EE6_TooLongToLearn', 'B1_SI1_Peers', 'B1_SI2_ResClimate', 'B1_SI3_Superiors', 'B1_SI4_Journals', 'B1_SI5_Field', 'B1_FC1_Knowledge', 'B1_FC2_WorkflowCompatibility', 'B1_FC3_EasyToUse', 'B1_FC4_FitsWellWithWork', 'B1_BehIntUse', 'B2_PE1_Useful', 'B2_PE2_WriteFaster', 'B2_PE3_IncProductivity', 'B2_PE4_IncPubChances', 'B2_PE5_PosPR', 'B2_PE6_EasierWrite', 'B2_PE7_ImproveQuality', 'B2_PE8_MoreEfficient', 'B2_PE9_IncQualSameEffort', 'B2_EE1_EasyToUse', 'B2_EE2_ClearUnderstandable', 'B2_EE3_BecomeSkillful', 'B2_EE4_TooMuchTime', 'B2_EE5_TooComplicated', 'B2_EE6_TooLongToLearn', 'B2_SI1_Peers', 'B2_SI2_ResClimate', 'B2_SI3_Superiors', 'B2_SI4_Journals', 'B2_SI5_Field', 'B2_FC1_Knowledge', 'B2_FC2_WorkflowCompatibility', 'B2_FC3_EasyToUse', 'B2_FC4_FitsWellWithWork', 'B2_BehIntUse', 'B3_PE1_Useful', 'B3_PE2_WriteFaster', 'B3_PE3_IncProductivity', 'B3_PE4_IncPubChances', 'B3_PE5_PosPR', 'B3_PE6_EasierWrite', 'B3_PE7_ImproveQuality', 'B3_PE8_MoreEfficient', 'B3_PE9_IncQualSameEffort', 'B3_EE1_EasyToUse', 'B3_EE2_ClearUnderstandable', 'B3_EE3_BecomeSkillful', 'B3_EE4_TooMuchTime', 'B3_EE5_TooComplicated', 'B3_EE6_TooLongToLearn', 'B3_SI1_Peers', 'B3_SI2_ResClimate', 'B3_SI3_Superiors', 'B3_SI4_Journals', 'B3_SI5_Field', 'B3_FC1_Knowledge', 'B3_FC2_WorkflowCompatibility', 'B3_FC3_EasyToUse', 'B3_FC4_FitsWellWithWork', 'B3_BehIntUse', "STROBEFamiliarity", "B1PE", "B1EE", "B1FC", "B1SI", "B2PE", "B2EE", "B2FC", "B2SI", "B3PE", "B3EE", "B3FC", "B3SI")
likertspos <- strobeCOMPLETEpos[likertcols] #Dataset which contains only likert variablesCreates the overall datasets
likertscollapsed <- likertspos %>%
rowwise() %>% mutate(
PE1 = max(B1_PE1_Useful, B2_PE1_Useful, B3_PE1_Useful, na.rm = TRUE),
PE2 = max(B1_PE2_WriteFaster, B2_PE2_WriteFaster, B3_PE2_WriteFaster, na.rm = TRUE),
PE3 = max(B1_PE3_IncProductivity, B2_PE3_IncProductivity, B3_PE3_IncProductivity, na.rm = TRUE),
PE4 = max(B1_PE4_IncPubChances, B2_PE4_IncPubChances, B3_PE4_IncPubChances, na.rm = TRUE),
PE5 = max(B1_PE5_PosPR, B2_PE5_PosPR, B3_PE5_PosPR, na.rm = TRUE),
PE6 = max(B1_PE6_EasierWrite, B2_PE6_EasierWrite, B3_PE6_EasierWrite, na.rm = TRUE),
PE7 = max(B1_PE7_ImproveQuality, B2_PE7_ImproveQuality, B3_PE7_ImproveQuality, na.rm = TRUE),
PE8 = max(B1_PE8_MoreEfficient, B2_PE8_MoreEfficient, B3_PE8_MoreEfficient, na.rm = TRUE),
PE9 = max(B1_PE9_IncQualSameEffort, B2_PE9_IncQualSameEffort, B3_PE9_IncQualSameEffort, na.rm = TRUE),
EE1 = max(B1_EE1_EasyToUse, B2_EE1_EasyToUse, B3_EE1_EasyToUse, na.rm = TRUE),
EE2 = max(B1_EE2_ClearUnderstandable, B2_EE2_ClearUnderstandable, B3_EE2_ClearUnderstandable, na.rm = TRUE),
EE3 = max(B1_EE3_BecomeSkillful, B2_EE3_BecomeSkillful, B3_EE3_BecomeSkillful, na.rm = TRUE),
EE4 = max(B1_EE4_TooMuchTime, B2_EE4_TooMuchTime, B3_EE4_TooMuchTime, na.rm = TRUE),
EE5 = max(B1_EE5_TooComplicated, B2_EE5_TooComplicated, B3_EE5_TooComplicated, na.rm = TRUE),
EE6 = max(B1_EE6_TooLongToLearn, B2_EE6_TooLongToLearn, B3_EE6_TooLongToLearn, na.rm = TRUE),
SI1 = max(B1_SI1_Peers, B2_SI1_Peers, B3_SI1_Peers, na.rm = TRUE),
SI2 = max(B1_SI2_ResClimate, B2_SI2_ResClimate, B3_SI2_ResClimate, na.rm = TRUE),
SI3 = max(B1_SI3_Superiors, B2_SI3_Superiors, B3_SI3_Superiors, na.rm = TRUE),
SI4 = max(B1_SI4_Journals, B2_SI4_Journals, B3_SI4_Journals, na.rm = TRUE),
SI5 = max(B1_SI5_Field, B2_SI5_Field, B3_SI5_Field, na.rm = TRUE),
FC1 = max(B1_FC1_Knowledge, B2_FC1_Knowledge, B3_FC1_Knowledge, na.rm = TRUE),
FC2 = max(B1_FC2_WorkflowCompatibility, B2_FC2_WorkflowCompatibility, B3_FC2_WorkflowCompatibility, na.rm = TRUE),
FC3 = max(B1_FC1_Knowledge, B2_FC1_Knowledge, B3_FC1_Knowledge, na.rm = TRUE),
FC4 = max(B1_FC4_FitsWellWithWork, B2_FC4_FitsWellWithWork, B3_FC4_FitsWellWithWork, na.rm = TRUE),
B1 = max(B1_BehIntUse, B2_BehIntUse, B3_BehIntUse, na.rm = TRUE),
OVERALLPE = (PE1 + PE2 + PE3 + PE4 + PE5 + PE6 + PE7 + PE8 + PE9) / 9,
OVERALLEE = (EE1 + EE2 + EE3 + EE4 + EE5 + EE6) / 6,
OVERALLFC = (FC1 + FC2 + FC3 + FC4) / 4,
OVERALLSI = (SI1 + SI2 + SI3 + SI4 + SI5) / 5
)
likertscollapsed <- likertscollapsed[c("STROBEFamiliarity", "PE1", "PE2", "PE3", "PE4", "PE5", "PE6", "PE7", "PE8", "PE9", "EE1", "EE2", "EE3", "EE4", "EE5", "EE6", "SI1", "SI2", "SI3", "SI4", "SI5", "FC1", "FC2", "FC3", "FC4", "B1", "OVERALLPE", "OVERALLEE", "OVERALLFC", "OVERALLSI")]
skim(likertscollapsed) #summary stats overall## Skim summary statistics
## n obs: 1015
## n variables: 30
##
## -- Variable type:numeric ------------------------------------------------------------------------------
## variable missing complete n mean sd p0 p25 p50 p75
## B1 0 1015 1015 5.13 1.46 1 4 6 6
## EE1 0 1015 1015 4.92 1.25 1 4 5 6
## EE2 0 1015 1015 5.25 1.14 1 4 6 6
## EE3 0 1015 1015 5.14 1.12 1 4 5 6
## EE4 0 1015 1015 4.44 1.4 1 4 4 6
## EE5 0 1015 1015 5.19 1.28 1 4 6 6
## EE6 0 1015 1015 5.03 1.36 1 4 5 6
## FC1 0 1015 1015 5.32 1.42 1 5 6 6
## FC2 0 1015 1015 5.13 1.28 1 4 5 6
## FC3 0 1015 1015 5.32 1.42 1 5 6 6
## FC4 0 1015 1015 4.93 1.27 1 4 5 6
## OVERALLEE 0 1015 1015 5 1.03 1.17 4.17 5.17 5.83
## OVERALLFC 0 1015 1015 5.17 1.16 1.5 4.5 5.5 6
## OVERALLPE 0 1015 1015 4.79 1.02 1 4.11 4.89 5.56
## OVERALLSI 0 1015 1015 4.56 1.05 1 4 4.6 5.2
## PE1 0 1015 1015 5.35 1.28 1 5 6 6
## PE2 0 1015 1015 4.35 1.4 1 4 4 5
## PE3 0 1015 1015 4.1 1.29 1 4 4 5
## PE4 0 1015 1015 5.1 1.21 1 4 5 6
## PE5 0 1015 1015 4.97 1.19 1 4 5 6
## PE6 0 1015 1015 4.66 1.3 1 4 5 6
## PE7 0 1015 1015 5.35 1.22 1 5 6 6
## PE8 0 1015 1015 4.71 1.3 1 4 5 6
## PE9 0 1015 1015 4.55 1.29 1 4 4 6
## SI1 0 1015 1015 4.29 1.36 1 4 4 5
## SI2 0 1015 1015 4.86 1.35 1 4 5 6
## SI3 0 1015 1015 4.13 1.46 1 4 4 5
## SI4 0 1015 1015 5.3 1.17 1 5 6 6
## SI5 0 1015 1015 4.24 1.37 1 4 4 5
## STROBEFamiliarity 0 1015 1015 2.43 0.79 1 2 3 3
## p100 hist
## 7 <U+2581><U+2582><U+2581><U+2585><U+2581><U+2585><U+2587><U+2583>
## 7 <U+2581><U+2581><U+2582><U+2586><U+2581><U+2585><U+2587><U+2582>
## 7 <U+2581><U+2581><U+2581><U+2583><U+2581><U+2583><U+2587><U+2582>
## 7 <U+2581><U+2581><U+2581><U+2585><U+2581><U+2585><U+2587><U+2582>
## 7 <U+2581><U+2582><U+2585><U+2587><U+2581><U+2585><U+2586><U+2581>
## 7 <U+2581><U+2581><U+2582><U+2585><U+2581><U+2583><U+2587><U+2583>
## 7 <U+2581><U+2581><U+2582><U+2586><U+2581><U+2585><U+2587><U+2583>
## 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2582><U+2587><U+2583>
## 7 <U+2581><U+2581><U+2582><U+2585><U+2581><U+2585><U+2587><U+2582>
## 7 <U+2581><U+2581><U+2581><U+2582><U+2581><U+2582><U+2587><U+2583>
## 7 <U+2581><U+2581><U+2582><U+2586><U+2581><U+2586><U+2587><U+2582>
## 7 <U+2581><U+2581><U+2581><U+2585><U+2585><U+2587><U+2587><U+2582>
## 7 <U+2581><U+2581><U+2582><U+2583><U+2582><U+2586><U+2587><U+2583>
## 7 <U+2581><U+2581><U+2582><U+2585><U+2587><U+2587><U+2586><U+2582>
## 7 <U+2581><U+2581><U+2582><U+2586><U+2586><U+2587><U+2585><U+2581>
## 7 <U+2581><U+2581><U+2581><U+2583><U+2581><U+2583><U+2587><U+2583>
## 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2585><U+2585><U+2581>
## 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2583><U+2582><U+2581>
## 7 <U+2581><U+2581><U+2581><U+2586><U+2581><U+2587><U+2587><U+2582>
## 7 <U+2581><U+2581><U+2581><U+2587><U+2581><U+2587><U+2587><U+2582>
## 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2586><U+2586><U+2582>
## 7 <U+2581><U+2581><U+2581><U+2583><U+2581><U+2585><U+2587><U+2583>
## 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2587><U+2587><U+2582>
## 7 <U+2581><U+2582><U+2582><U+2587><U+2581><U+2586><U+2585><U+2581>
## 7 <U+2581><U+2582><U+2581><U+2587><U+2581><U+2583><U+2583><U+2581>
## 7 <U+2581><U+2582><U+2582><U+2586><U+2581><U+2586><U+2587><U+2582>
## 7 <U+2581><U+2582><U+2581><U+2587><U+2581><U+2582><U+2583><U+2581>
## 7 <U+2581><U+2581><U+2581><U+2583><U+2581><U+2585><U+2587><U+2582>
## 7 <U+2581><U+2583><U+2582><U+2587><U+2581><U+2585><U+2585><U+2581>
## 3 <U+2582><U+2581><U+2581><U+2582><U+2581><U+2581><U+2581><U+2587>summary(likertscollapsed)## STROBEFamiliarity PE1 PE2 PE3
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:5.000 1st Qu.:4.000 1st Qu.:4.000
## Median :3.000 Median :6.000 Median :4.000 Median :4.000
## Mean :2.433 Mean :5.352 Mean :4.355 Mean :4.098
## 3rd Qu.:3.000 3rd Qu.:6.000 3rd Qu.:5.000 3rd Qu.:5.000
## Max. :3.000 Max. :7.000 Max. :7.000 Max. :7.000
## PE4 PE5 PE6 PE7
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:5.000
## Median :5.000 Median :5.000 Median :5.000 Median :6.000
## Mean :5.099 Mean :4.973 Mean :4.655 Mean :5.355
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## PE8 PE9 EE1 EE2
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :5.000 Median :4.000 Median :5.000 Median :6.000
## Mean :4.706 Mean :4.553 Mean :4.924 Mean :5.245
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## EE3 EE4 EE5 EE6
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :5.000 Median :4.000 Median :6.000 Median :5.000
## Mean :5.145 Mean :4.435 Mean :5.189 Mean :5.033
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## SI1 SI2 SI3 SI4
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:5.000
## Median :4.000 Median :5.000 Median :4.000 Median :6.000
## Mean :4.289 Mean :4.857 Mean :4.131 Mean :5.303
## 3rd Qu.:5.000 3rd Qu.:6.000 3rd Qu.:5.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## SI5 FC1 FC2 FC3
## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.00
## 1st Qu.:4.000 1st Qu.:5.00 1st Qu.:4.000 1st Qu.:5.00
## Median :4.000 Median :6.00 Median :5.000 Median :6.00
## Mean :4.238 Mean :5.32 Mean :5.125 Mean :5.32
## 3rd Qu.:5.000 3rd Qu.:6.00 3rd Qu.:6.000 3rd Qu.:6.00
## Max. :7.000 Max. :7.00 Max. :7.000 Max. :7.00
## FC4 B1 OVERALLPE OVERALLEE
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.167
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.111 1st Qu.:4.167
## Median :5.000 Median :6.000 Median :4.889 Median :5.167
## Mean :4.929 Mean :5.134 Mean :4.794 Mean :4.995
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:5.556 3rd Qu.:5.833
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## OVERALLFC OVERALLSI
## Min. :1.500 Min. :1.000
## 1st Qu.:4.500 1st Qu.:4.000
## Median :5.500 Median :4.600
## Mean :5.174 Mean :4.564
## 3rd Qu.:6.000 3rd Qu.:5.200
## Max. :7.000 Max. :7.000t.test(likertscollapsed$OVERALLPE)$conf.int## [1] 4.730945 4.856795
## attr(,"conf.level")
## [1] 0.95t.test(likertscollapsed$OVERALLEE)$conf.int## [1] 4.932000 5.058804
## attr(,"conf.level")
## [1] 0.95t.test(likertscollapsed$OVERALLFC)$conf.int## [1] 5.102193 5.245097
## attr(,"conf.level")
## [1] 0.95t.test(likertscollapsed$OVERALLSI)$conf.int## [1] 4.498897 4.628590
## attr(,"conf.level")
## [1] 0.95t.test(likertscollapsed$B1)$conf.int## [1] 5.043849 5.224131
## attr(,"conf.level")
## [1] 0.95t.test(B1likert$B1PE)$conf.int## [1] 4.673156 4.965590
## attr(,"conf.level")
## [1] 0.95t.test(B1likert$B1EE)$conf.int## [1] 4.674249 4.929170
## attr(,"conf.level")
## [1] 0.95t.test(B1likert$B1FC)$conf.int## [1] 4.559912 4.870857
## attr(,"conf.level")
## [1] 0.95t.test(B1likert$B1SI)$conf.int## [1] 4.161672 4.427046
## attr(,"conf.level")
## [1] 0.95t.test(B1likert$B1_BehIntUse)$conf.int## [1] 4.468698 4.854379
## attr(,"conf.level")
## [1] 0.95t.test(B2likert$B2PE)$conf.int## [1] 4.152776 4.422599
## attr(,"conf.level")
## [1] 0.95t.test(B2likert$B2EE)$conf.int## [1] 4.107672 4.353590
## attr(,"conf.level")
## [1] 0.95t.test(B2likert$B2FC)$conf.int## [1] 4.134432 4.438541
## attr(,"conf.level")
## [1] 0.95t.test(B2likert$B2SI)$conf.int## [1] 3.698823 3.994150
## attr(,"conf.level")
## [1] 0.95t.test(B2likert$B2_BehIntUse)$conf.int## [1] 4.034106 4.474002
## attr(,"conf.level")
## [1] 0.95t.test(B3likert$B3PE)$conf.int## [1] 4.855746 5.011271
## attr(,"conf.level")
## [1] 0.95t.test(B3likert$B3EE)$conf.int## [1] 5.200747 5.354634
## attr(,"conf.level")
## [1] 0.95t.test(B3likert$B3FC)$conf.int## [1] 5.399108 5.542624
## attr(,"conf.level")
## [1] 0.95t.test(B3likert$B3SI)$conf.int## [1] 4.779707 4.931159
## attr(,"conf.level")
## [1] 0.95t.test(B3likert$B3_BehIntUse)$conf.int## [1] 5.432882 5.637984
## attr(,"conf.level")
## [1] 0.95#computes the analysis of variance (ANOVA) for the PE scale and summarize the results.
PE.aov <- aov(OVERALLPE ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
summary(PE.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(STROBEFamiliarity) 2 59.9 29.955 30.36 1.56e-13 ***
## Residuals 1012 998.4 0.987
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#Multiple pairwise-comparison between the means of groups
TukeyHSD(PE.aov)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = OVERALLPE ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
##
## $`as.factor(STROBEFamiliarity)`
## diff lwr upr p adj
## 2-1 -0.5316855 -0.77095935 -0.2924117 0.0000007
## 3-1 0.1141351 -0.07673656 0.3050067 0.3394284
## 3-2 0.6458206 0.45104225 0.8405990 0.0000000#computes the analysis of variance (ANOVA) for the EE scale and summarize the results.
EE.aov <- aov(OVERALLEE ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
summary(EE.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(STROBEFamiliarity) 2 166.1 83.06 92.54 <2e-16 ***
## Residuals 1012 908.3 0.90
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#Multiple pairwise-comparison between the means of groups
TukeyHSD(EE.aov)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = OVERALLEE ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
##
## $`as.factor(STROBEFamiliarity)`
## diff lwr upr p adj
## 2-1 -0.5710788 -0.7993004 -0.3428571 0
## 3-1 0.4759809 0.2939257 0.6580361 0
## 3-2 1.0470597 0.8612782 1.2328411 0#computes the analysis of variance (ANOVA) for the FC scale and summarize the results.
FC.aov <- aov(OVERALLFC ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
summary(FC.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(STROBEFamiliarity) 2 326 163.02 158.9 <2e-16 ***
## Residuals 1012 1038 1.03
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#Multiple pairwise-comparison between the means of groups
TukeyHSD(FC.aov)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = OVERALLFC ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
##
## $`as.factor(STROBEFamiliarity)`
## diff lwr upr p adj
## 2-1 -0.3723146 -0.6163492 -0.1282801 0.001044
## 3-1 0.9659701 0.7713008 1.1606395 0.000000
## 3-2 1.3382847 1.1396309 1.5369386 0.000000#computes the analysis of variance (ANOVA) for the SI scale and summarize the results.
SI.aov <- aov(OVERALLSI ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
summary(SI.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(STROBEFamiliarity) 2 163.4 81.68 86.05 <2e-16 ***
## Residuals 1012 960.6 0.95
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#Multiple pairwise-comparison between the means of groups
TukeyHSD(SI.aov)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = OVERALLSI ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
##
## $`as.factor(STROBEFamiliarity)`
## diff lwr upr p adj
## 2-1 -0.4478725 -0.6825713 -0.2131737 2.49e-05
## 3-1 0.5610741 0.3738520 0.7482962 0.00e+00
## 3-2 1.0089466 0.8178925 1.2000007 0.00e+00#computes the analysis of variance (ANOVA) for theBehavioral intention to use STROBE and summarize the results.
BI.aov <- aov(B1 ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
summary(BI.aov)## Df Sum Sq Mean Sq F value Pr(>F)
## as.factor(STROBEFamiliarity) 2 289.1 144.55 77.7 <2e-16 ***
## Residuals 1012 1882.7 1.86
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#Multiple pairwise-comparison between the means of groups
TukeyHSD(BI.aov)## Tukey multiple comparisons of means
## 95% family-wise confidence level
##
## Fit: aov(formula = B1 ~ as.factor(STROBEFamiliarity), data = likertscollapsed)
##
## $`as.factor(STROBEFamiliarity)`
## diff lwr upr p adj
## 2-1 -0.4074844 -0.7360550 -0.07891382 0.0102882
## 3-1 0.8738946 0.6117898 1.13599938 0.0000000
## 3-2 1.2813790 1.0139095 1.54884851 0.0000000#Export likert only files
write.csv(likertscollapsed, "C:/Users/Melissa/Documents/OneDrive/PhD/GitHubData/Study 2/likertscollapsed.csv") #full completers. only likert variables
write.csv(B1likert, "C:/Users/Melissa/Documents/OneDrive/PhD/GitHubData/Study 2/B1likert.csv")
write.csv(B2likert, "C:/Users/Melissa/Documents/OneDrive/PhD/GitHubData/Study 2/B2likert.csv")
write.csv(B3likert, "C:/Users/Melissa/Documents/OneDrive/PhD/GitHubData/Study 2/B3likert.csv")#Cronbach Alpha ##B1 Likert Complete
alpha(B1likert, keys = NULL, #if any keys need to be reversed. Keep null as they were manually recoded earlier
cumulative = FALSE, #default value is reflecting the means of the items
title = "B1 Alpha COMPLETE",
max = 7, #number of categories to consider when reporting frequencies
na.rm = TRUE, #removes missing values and finds pairwise correlations
check.keys = FALSE, #if TRUE, finds the first principal component and reverses key items w/ neg loadings
n.iter = 1, #Number of iterations if bootstrapped confidence intervals are desired
delete = TRUE, #deletes items with no variance and issues a warning. gets rid of subgroup variable STROBEFamiliarity
use = "pairwise", #Options: "everything", "all.obs", "complete.obs", "na.or.complete", or "pairwise.complete.obs". The default is "pairwise"
warnings = TRUE, #print a warning and a message that items were reversed.
n.obs = NULL) #If using correlation matrices as input, specify the n obs, we can find confidence intervals## Warning in alpha(B1likert, keys = NULL, cumulative = FALSE, title = "B1
## Alpha COMPLETE", : Item = STROBEFamiliarity had no variance and was deleted## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done##
## Reliability analysis B1 Alpha COMPLETE
## Call: alpha(x = B1likert, keys = NULL, cumulative = FALSE, title = "B1 Alpha COMPLETE",
## max = 7, na.rm = TRUE, check.keys = FALSE, n.iter = 1, delete = TRUE,
## use = "pairwise", warnings = TRUE, n.obs = NULL)
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.96 0.96 1 0.44 23 0.0046 4.7 0.8 0.43
##
## lower alpha upper 95% confidence boundaries
## 0.95 0.96 0.97
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N
## B1_PE1_Useful 0.95 0.96 1.00 0.44 22
## B1_PE2_WriteFaster 0.95 0.96 1.00 0.44 22
## B1_PE3_IncProductivity 0.95 0.96 1.00 0.44 22
## B1_PE4_IncPubChances 0.95 0.96 1.00 0.44 22
## B1_PE5_PosPR 0.95 0.96 1.00 0.44 22
## B1_PE6_EasierWrite 0.95 0.96 1.00 0.44 22
## B1_PE7_ImproveQuality 0.95 0.96 1.00 0.44 22
## B1_PE8_MoreEfficient 0.95 0.96 1.00 0.44 22
## B1_PE9_IncQualSameEffort 0.95 0.96 1.00 0.44 22
## B1_EE1_EasyToUse 0.95 0.96 1.00 0.44 22
## B1_EE2_ClearUnderstandable 0.95 0.96 1.00 0.44 22
## B1_EE3_BecomeSkillful 0.95 0.96 1.00 0.44 22
## B1_EE4_TooMuchTime 0.96 0.96 1.00 0.45 23
## B1_EE5_TooComplicated 0.96 0.96 1.00 0.45 23
## B1_EE6_TooLongToLearn 0.96 0.96 1.00 0.45 23
## B1_SI1_Peers 0.96 0.96 1.00 0.45 23
## B1_SI2_ResClimate 0.96 0.96 1.00 0.45 23
## B1_SI3_Superiors 0.96 0.96 1.00 0.44 22
## B1_SI4_Journals 0.95 0.96 1.00 0.44 22
## B1_SI5_Field 0.96 0.96 1.00 0.46 23
## B1_FC1_Knowledge 0.96 0.96 1.00 0.45 23
## B1_FC2_WorkflowCompatibility 0.96 0.96 1.00 0.44 22
## B1_FC3_EasyToUse 0.95 0.96 1.00 0.44 22
## B1_FC4_FitsWellWithWork 0.95 0.96 1.00 0.44 22
## B1_BehIntUse 0.95 0.96 1.00 0.44 22
## B1PE 0.95 0.96 0.99 0.43 21
## B1EE 0.95 0.96 0.99 0.44 22
## B1SI 0.95 0.96 0.99 0.44 22
## B1FC 0.95 0.96 1.00 0.44 22
## alpha se var.r med.r
## B1_PE1_Useful 0.0048 0.038 0.43
## B1_PE2_WriteFaster 0.0048 0.036 0.43
## B1_PE3_IncProductivity 0.0048 0.036 0.43
## B1_PE4_IncPubChances 0.0048 0.036 0.43
## B1_PE5_PosPR 0.0048 0.036 0.43
## B1_PE6_EasierWrite 0.0049 0.036 0.43
## B1_PE7_ImproveQuality 0.0048 0.037 0.43
## B1_PE8_MoreEfficient 0.0049 0.037 0.43
## B1_PE9_IncQualSameEffort 0.0048 0.036 0.43
## B1_EE1_EasyToUse 0.0048 0.038 0.43
## B1_EE2_ClearUnderstandable 0.0048 0.038 0.43
## B1_EE3_BecomeSkillful 0.0048 0.038 0.43
## B1_EE4_TooMuchTime 0.0046 0.036 0.45
## B1_EE5_TooComplicated 0.0046 0.035 0.44
## B1_EE6_TooLongToLearn 0.0046 0.035 0.44
## B1_SI1_Peers 0.0047 0.036 0.44
## B1_SI2_ResClimate 0.0047 0.038 0.45
## B1_SI3_Superiors 0.0047 0.037 0.43
## B1_SI4_Journals 0.0048 0.038 0.43
## B1_SI5_Field 0.0045 0.035 0.45
## B1_FC1_Knowledge 0.0045 0.035 0.44
## B1_FC2_WorkflowCompatibility 0.0047 0.037 0.44
## B1_FC3_EasyToUse 0.0048 0.037 0.43
## B1_FC4_FitsWellWithWork 0.0049 0.037 0.43
## B1_BehIntUse 0.0049 0.038 0.43
## B1PE 0.0049 0.034 0.43
## B1EE 0.0048 0.036 0.43
## B1SI 0.0048 0.037 0.43
## B1FC 0.0048 0.036 0.43
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## B1_PE1_Useful 195 0.74 0.74 0.74 0.71 5.2 1.26
## B1_PE2_WriteFaster 195 0.72 0.72 0.72 0.70 4.6 1.33
## B1_PE3_IncProductivity 195 0.70 0.70 0.70 0.67 4.4 1.26
## B1_PE4_IncPubChances 195 0.70 0.70 0.70 0.67 5.0 1.11
## B1_PE5_PosPR 195 0.68 0.68 0.68 0.65 4.9 1.13
## B1_PE6_EasierWrite 195 0.77 0.76 0.76 0.74 4.7 1.21
## B1_PE7_ImproveQuality 195 0.74 0.74 0.74 0.72 5.1 1.21
## B1_PE8_MoreEfficient 195 0.76 0.76 0.76 0.74 4.8 1.25
## B1_PE9_IncQualSameEffort 195 0.74 0.73 0.73 0.71 4.7 1.24
## B1_EE1_EasyToUse 195 0.74 0.74 0.74 0.72 4.8 1.07
## B1_EE2_ClearUnderstandable 195 0.71 0.72 0.72 0.69 5.2 1.08
## B1_EE3_BecomeSkillful 195 0.70 0.70 0.70 0.67 5.0 1.09
## B1_EE4_TooMuchTime 195 0.49 0.49 0.49 0.45 4.2 1.24
## B1_EE5_TooComplicated 195 0.53 0.54 0.54 0.50 4.9 1.18
## B1_EE6_TooLongToLearn 195 0.50 0.50 0.50 0.46 4.7 1.21
## B1_SI1_Peers 195 0.59 0.59 0.59 0.55 4.0 1.18
## B1_SI2_ResClimate 195 0.62 0.62 0.62 0.58 4.7 1.29
## B1_SI3_Superiors 195 0.63 0.63 0.63 0.60 3.9 1.33
## B1_SI4_Journals 195 0.67 0.67 0.68 0.65 5.0 1.06
## B1_SI5_Field 195 0.42 0.42 0.42 0.37 3.9 1.23
## B1_FC1_Knowledge 195 0.49 0.49 0.49 0.44 4.5 1.55
## B1_FC2_WorkflowCompatibility 195 0.65 0.65 0.65 0.62 4.7 1.30
## B1_FC3_EasyToUse 195 0.72 0.72 0.72 0.69 4.8 1.16
## B1_FC4_FitsWellWithWork 195 0.78 0.78 0.78 0.76 4.8 1.19
## B1_BehIntUse 195 0.76 0.76 0.74 0.74 4.7 1.37
## B1PE 195 0.86 0.86 0.86 0.85 4.8 1.04
## B1EE 195 0.77 0.77 0.77 0.75 4.8 0.90
## B1SI 195 0.76 0.76 0.76 0.74 4.3 0.94
## B1FC 195 0.77 0.76 0.76 0.75 4.7 1.10##B2 Likert Complete
alpha(B2likert, keys = NULL, cumulative = FALSE, title = "B2 Alpha", max = 7, na.rm = TRUE, check.keys = FALSE, n.iter = 1, delete = TRUE, use = "pairwise", warnings = TRUE, n.obs = NULL)## Warning in alpha(B2likert, keys = NULL, cumulative = FALSE, title = "B2
## Alpha", : Item = STROBEFamiliarity had no variance and was deleted## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done##
## Reliability analysis B2 Alpha
## Call: alpha(x = B2likert, keys = NULL, cumulative = FALSE, title = "B2 Alpha",
## max = 7, na.rm = TRUE, check.keys = FALSE, n.iter = 1, delete = TRUE,
## use = "pairwise", warnings = TRUE, n.obs = NULL)
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.95 0.96 1 0.43 22 0.0051 4.2 0.78 0.41
##
## lower alpha upper 95% confidence boundaries
## 0.94 0.95 0.96
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N
## B2_PE1_Useful 0.95 0.95 1.00 0.42 20
## B2_PE2_WriteFaster 0.95 0.95 1.00 0.42 20
## B2_PE3_IncProductivity 0.95 0.95 1.00 0.42 21
## B2_PE4_IncPubChances 0.95 0.95 1.00 0.43 21
## B2_PE5_PosPR 0.95 0.95 1.00 0.43 21
## B2_PE6_EasierWrite 0.95 0.95 1.00 0.42 20
## B2_PE7_ImproveQuality 0.95 0.95 1.00 0.43 21
## B2_PE8_MoreEfficient 0.95 0.95 1.00 0.42 20
## B2_PE9_IncQualSameEffort 0.95 0.95 1.00 0.42 20
## B2_EE1_EasyToUse 0.95 0.95 1.00 0.42 21
## B2_EE2_ClearUnderstandable 0.95 0.95 1.00 0.43 21
## B2_EE3_BecomeSkillful 0.95 0.95 1.00 0.42 21
## B2_EE4_TooMuchTime 0.95 0.96 1.00 0.44 22
## B2_EE5_TooComplicated 0.95 0.96 1.00 0.43 21
## B2_EE6_TooLongToLearn 0.95 0.96 1.00 0.43 21
## B2_SI1_Peers 0.95 0.96 1.00 0.43 21
## B2_SI3_Superiors 0.95 0.95 1.00 0.43 21
## B2_SI2_ResClimate 0.95 0.96 1.00 0.43 21
## B2_SI4_Journals 0.95 0.96 1.00 0.43 21
## B2_SI5_Field 0.95 0.96 1.00 0.43 21
## B2_FC1_Knowledge 0.95 0.96 1.00 0.44 22
## B2_FC2_WorkflowCompatibility 0.95 0.95 1.00 0.42 21
## B2_FC3_EasyToUse 0.95 0.95 1.00 0.42 20
## B2_FC4_FitsWellWithWork 0.95 0.95 1.00 0.42 20
## B2_BehIntUse 0.95 0.95 1.00 0.42 20
## B2PE 0.95 0.95 0.99 0.41 20
## B2EE 0.95 0.95 0.99 0.42 20
## B2SI 0.95 0.95 0.99 0.42 21
## B2FC 0.95 0.95 1.00 0.42 20
## alpha se var.r med.r
## B2_PE1_Useful 0.0054 0.032 0.40
## B2_PE2_WriteFaster 0.0054 0.032 0.40
## B2_PE3_IncProductivity 0.0053 0.031 0.41
## B2_PE4_IncPubChances 0.0053 0.031 0.41
## B2_PE5_PosPR 0.0053 0.032 0.41
## B2_PE6_EasierWrite 0.0054 0.031 0.40
## B2_PE7_ImproveQuality 0.0053 0.031 0.41
## B2_PE8_MoreEfficient 0.0054 0.031 0.40
## B2_PE9_IncQualSameEffort 0.0054 0.032 0.41
## B2_EE1_EasyToUse 0.0053 0.032 0.41
## B2_EE2_ClearUnderstandable 0.0053 0.032 0.42
## B2_EE3_BecomeSkillful 0.0053 0.032 0.41
## B2_EE4_TooMuchTime 0.0050 0.029 0.43
## B2_EE5_TooComplicated 0.0051 0.031 0.42
## B2_EE6_TooLongToLearn 0.0051 0.030 0.42
## B2_SI1_Peers 0.0051 0.031 0.42
## B2_SI3_Superiors 0.0052 0.032 0.42
## B2_SI2_ResClimate 0.0051 0.032 0.42
## B2_SI4_Journals 0.0051 0.031 0.42
## B2_SI5_Field 0.0051 0.031 0.42
## B2_FC1_Knowledge 0.0050 0.031 0.43
## B2_FC2_WorkflowCompatibility 0.0054 0.032 0.40
## B2_FC3_EasyToUse 0.0053 0.032 0.41
## B2_FC4_FitsWellWithWork 0.0054 0.032 0.41
## B2_BehIntUse 0.0054 0.032 0.40
## B2PE 0.0054 0.029 0.40
## B2EE 0.0053 0.030 0.41
## B2SI 0.0053 0.031 0.41
## B2FC 0.0054 0.031 0.40
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## B2_PE1_Useful 185 0.74 0.74 0.74 0.72 4.5 1.23
## B2_PE2_WriteFaster 185 0.76 0.76 0.76 0.73 3.8 1.13
## B2_PE3_IncProductivity 185 0.70 0.71 0.71 0.68 3.8 1.04
## B2_PE4_IncPubChances 185 0.66 0.66 0.66 0.63 4.5 1.18
## B2_PE5_PosPR 185 0.66 0.66 0.66 0.63 4.6 1.14
## B2_PE6_EasierWrite 185 0.74 0.75 0.75 0.72 4.0 1.14
## B2_PE7_ImproveQuality 185 0.63 0.63 0.63 0.60 4.9 1.18
## B2_PE8_MoreEfficient 185 0.77 0.77 0.77 0.74 4.3 1.19
## B2_PE9_IncQualSameEffort 185 0.74 0.74 0.74 0.72 4.2 1.16
## B2_EE1_EasyToUse 185 0.68 0.69 0.69 0.65 4.1 0.99
## B2_EE2_ClearUnderstandable 185 0.66 0.67 0.67 0.64 4.4 1.09
## B2_EE3_BecomeSkillful 185 0.70 0.71 0.71 0.68 4.6 1.08
## B2_EE4_TooMuchTime 185 0.41 0.43 0.43 0.37 3.8 1.14
## B2_EE5_TooComplicated 185 0.53 0.54 0.54 0.49 4.4 1.17
## B2_EE6_TooLongToLearn 185 0.50 0.51 0.51 0.46 4.1 1.13
## B2_SI1_Peers 185 0.57 0.56 0.56 0.53 3.5 1.37
## B2_SI3_Superiors 185 0.59 0.58 0.58 0.55 3.3 1.39
## B2_SI2_ResClimate 185 0.57 0.56 0.56 0.52 4.2 1.41
## B2_SI4_Journals 185 0.52 0.51 0.51 0.47 4.5 1.23
## B2_SI5_Field 185 0.53 0.52 0.52 0.49 3.8 1.27
## B2_FC1_Knowledge 185 0.49 0.48 0.48 0.43 4.2 1.64
## B2_FC2_WorkflowCompatibility 185 0.73 0.73 0.73 0.70 4.4 1.26
## B2_FC3_EasyToUse 185 0.75 0.75 0.76 0.73 4.3 1.06
## B2_FC4_FitsWellWithWork 185 0.76 0.76 0.76 0.73 4.3 1.19
## B2_BehIntUse 185 0.77 0.77 0.75 0.74 4.3 1.52
## B2PE 185 0.88 0.89 0.89 0.87 4.3 0.93
## B2EE 185 0.75 0.76 0.76 0.73 4.2 0.85
## B2SI 185 0.73 0.72 0.72 0.71 3.8 1.02
## B2FC 185 0.81 0.81 0.81 0.80 4.3 1.05##B3 Likert Complete
alpha(B3likert, keys = NULL, cumulative = FALSE, title = "B3 Alpha", max = 7, na.rm = TRUE, check.keys = FALSE, n.iter = 1, delete = TRUE, use = "pairwise", warnings = TRUE, n.obs = NULL)## Warning in alpha(B3likert, keys = NULL, cumulative = FALSE, title = "B3
## Alpha", : Item = STROBEFamiliarity had no variance and was deleted## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done##
## Reliability analysis B3 Alpha
## Call: alpha(x = B3likert, keys = NULL, cumulative = FALSE, title = "B3 Alpha",
## max = 7, na.rm = TRUE, check.keys = FALSE, n.iter = 1, delete = TRUE,
## use = "pairwise", warnings = TRUE, n.obs = NULL)
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.95 0.95 1 0.41 20 0.0028 5.1 0.79 0.39
##
## lower alpha upper 95% confidence boundaries
## 0.95 0.95 0.96
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N
## B3_PE1_Useful 0.95 0.95 0.99 0.41 19
## B3_PE2_WriteFaster 0.95 0.95 0.99 0.41 20
## B3_PE3_IncProductivity 0.95 0.95 0.99 0.41 20
## B3_PE4_IncPubChances 0.95 0.95 0.99 0.42 20
## B3_PE5_PosPR 0.95 0.95 1.00 0.42 20
## B3_PE6_EasierWrite 0.95 0.95 1.00 0.41 19
## B3_PE7_ImproveQuality 0.95 0.95 1.00 0.41 19
## B3_PE8_MoreEfficient 0.95 0.95 1.00 0.41 19
## B3_PE9_IncQualSameEffort 0.95 0.95 0.99 0.41 20
## B3_EE1_EasyToUse 0.95 0.95 1.00 0.41 19
## B3_EE2_ClearUnderstandable 0.95 0.95 1.00 0.41 20
## B3_EE3_BecomeSkillful 0.95 0.95 1.00 0.41 20
## B3_EE4_TooMuchTime 0.95 0.95 1.00 0.42 20
## B3_EE5_TooComplicated 0.95 0.95 1.00 0.42 20
## B3_EE6_TooLongToLearn 0.95 0.95 1.00 0.42 20
## B3_SI1_Peers 0.95 0.95 1.00 0.42 20
## B3_SI3_Superiors 0.95 0.95 1.00 0.42 20
## B3_SI2_ResClimate 0.95 0.95 1.00 0.42 20
## B3_SI4_Journals 0.95 0.95 1.00 0.42 20
## B3_SI5_Field 0.95 0.95 1.00 0.42 20
## B3_FC1_Knowledge 0.95 0.95 1.00 0.42 20
## B3_FC2_WorkflowCompatibility 0.95 0.95 1.00 0.41 19
## B3_FC3_EasyToUse 0.95 0.95 1.00 0.41 19
## B3_FC4_FitsWellWithWork 0.95 0.95 1.00 0.41 19
## B3_BehIntUse 0.95 0.95 1.00 0.41 19
## B3PE 0.95 0.95 0.99 0.40 19
## B3EE 0.95 0.95 0.99 0.41 19
## B3SI 0.95 0.95 0.99 0.41 20
## B3FC 0.95 0.95 0.99 0.40 19
## alpha se var.r med.r
## B3_PE1_Useful 0.0030 0.031 0.38
## B3_PE2_WriteFaster 0.0030 0.030 0.39
## B3_PE3_IncProductivity 0.0029 0.030 0.39
## B3_PE4_IncPubChances 0.0029 0.031 0.39
## B3_PE5_PosPR 0.0029 0.030 0.39
## B3_PE6_EasierWrite 0.0030 0.030 0.38
## B3_PE7_ImproveQuality 0.0030 0.031 0.38
## B3_PE8_MoreEfficient 0.0030 0.030 0.39
## B3_PE9_IncQualSameEffort 0.0030 0.030 0.38
## B3_EE1_EasyToUse 0.0030 0.030 0.38
## B3_EE2_ClearUnderstandable 0.0029 0.030 0.38
## B3_EE3_BecomeSkillful 0.0029 0.031 0.39
## B3_EE4_TooMuchTime 0.0029 0.030 0.39
## B3_EE5_TooComplicated 0.0029 0.028 0.39
## B3_EE6_TooLongToLearn 0.0029 0.029 0.39
## B3_SI1_Peers 0.0029 0.030 0.39
## B3_SI3_Superiors 0.0029 0.030 0.39
## B3_SI2_ResClimate 0.0029 0.031 0.39
## B3_SI4_Journals 0.0029 0.031 0.40
## B3_SI5_Field 0.0028 0.030 0.39
## B3_FC1_Knowledge 0.0029 0.030 0.39
## B3_FC2_WorkflowCompatibility 0.0030 0.031 0.38
## B3_FC3_EasyToUse 0.0030 0.030 0.38
## B3_FC4_FitsWellWithWork 0.0030 0.030 0.38
## B3_BehIntUse 0.0030 0.031 0.38
## B3PE 0.0030 0.028 0.38
## B3EE 0.0030 0.028 0.38
## B3SI 0.0029 0.030 0.38
## B3FC 0.0030 0.029 0.38
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## B3_PE1_Useful 635 0.71 0.70 0.71 0.68 5.6 1.18
## B3_PE2_WriteFaster 635 0.69 0.67 0.67 0.65 4.4 1.45
## B3_PE3_IncProductivity 635 0.65 0.63 0.63 0.61 4.1 1.34
## B3_PE4_IncPubChances 635 0.57 0.57 0.57 0.54 5.3 1.20
## B3_PE5_PosPR 635 0.57 0.57 0.57 0.54 5.1 1.19
## B3_PE6_EasierWrite 635 0.73 0.72 0.72 0.70 4.8 1.32
## B3_PE7_ImproveQuality 635 0.72 0.72 0.72 0.70 5.6 1.18
## B3_PE8_MoreEfficient 635 0.72 0.70 0.70 0.69 4.8 1.32
## B3_PE9_IncQualSameEffort 635 0.71 0.70 0.70 0.67 4.6 1.33
## B3_EE1_EasyToUse 635 0.71 0.72 0.72 0.68 5.2 1.24
## B3_EE2_ClearUnderstandable 635 0.67 0.69 0.69 0.65 5.5 1.06
## B3_EE3_BecomeSkillful 635 0.63 0.64 0.64 0.60 5.4 1.08
## B3_EE4_TooMuchTime 635 0.59 0.59 0.59 0.55 4.7 1.44
## B3_EE5_TooComplicated 635 0.57 0.57 0.57 0.53 5.5 1.22
## B3_EE6_TooLongToLearn 635 0.57 0.57 0.57 0.52 5.4 1.32
## B3_SI1_Peers 635 0.57 0.56 0.56 0.53 4.6 1.29
## B3_SI3_Superiors 635 0.55 0.55 0.55 0.51 4.5 1.41
## B3_SI2_ResClimate 635 0.55 0.55 0.55 0.51 5.1 1.27
## B3_SI4_Journals 635 0.50 0.50 0.50 0.46 5.6 1.04
## B3_SI5_Field 635 0.48 0.48 0.48 0.43 4.5 1.39
## B3_FC1_Knowledge 635 0.51 0.53 0.53 0.48 5.9 0.92
## B3_FC2_WorkflowCompatibility 635 0.73 0.74 0.74 0.71 5.5 1.14
## B3_FC3_EasyToUse 635 0.71 0.72 0.72 0.68 5.4 1.13
## B3_FC4_FitsWellWithWork 635 0.77 0.77 0.77 0.75 5.2 1.25
## B3_BehIntUse 635 0.73 0.73 0.71 0.71 5.5 1.32
## B3PE 635 0.87 0.85 0.86 0.85 4.9 1.00
## B3EE 635 0.77 0.78 0.78 0.75 5.3 0.99
## B3SI 635 0.70 0.70 0.70 0.68 4.9 0.97
## B3FC 635 0.83 0.84 0.85 0.82 5.5 0.92##Full Likert Complete
alpha(likertscollapsed, keys = NULL, cumulative = FALSE, title = "Overall Alpha", max = 7, na.rm = TRUE, check.keys = FALSE, n.iter = 1, delete = TRUE, use = "everything", warnings = TRUE, n.obs = NULL)## Warning in cor.smooth(r): Matrix was not positive definite, smoothing was
## done## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done
## Warning in cor.smooth(R): Matrix was not positive definite, smoothing was
## done##
## Reliability analysis Overall Alpha
## Call: alpha(x = likertscollapsed, keys = NULL, cumulative = FALSE,
## title = "Overall Alpha", max = 7, na.rm = TRUE, check.keys = FALSE,
## n.iter = 1, delete = TRUE, use = "everything", warnings = TRUE,
## n.obs = NULL)
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.96 0.96 1 0.43 23 0.0019 4.8 0.84 0.41
##
## lower alpha upper 95% confidence boundaries
## 0.95 0.96 0.96
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r
## STROBEFamiliarity 0.96 0.96 1.00 0.45 24 0.0019 0.026
## PE1 0.96 0.96 0.99 0.43 22 0.0021 0.030
## PE2 0.96 0.96 0.99 0.43 22 0.0020 0.029
## PE3 0.96 0.96 0.99 0.44 22 0.0020 0.028
## PE4 0.96 0.96 0.99 0.43 22 0.0020 0.030
## PE5 0.96 0.96 0.99 0.44 22 0.0020 0.030
## PE6 0.96 0.96 0.99 0.43 22 0.0020 0.029
## PE7 0.96 0.96 0.99 0.43 22 0.0020 0.030
## PE8 0.96 0.96 0.99 0.43 22 0.0020 0.029
## PE9 0.96 0.96 0.99 0.43 22 0.0020 0.029
## EE1 0.96 0.96 1.00 0.43 22 0.0020 0.030
## EE2 0.96 0.96 1.00 0.43 22 0.0020 0.030
## EE3 0.96 0.96 1.00 0.43 22 0.0020 0.030
## EE4 0.96 0.96 0.99 0.44 23 0.0020 0.029
## EE5 0.96 0.96 1.00 0.44 22 0.0020 0.029
## EE6 0.96 0.96 1.00 0.44 22 0.0020 0.029
## SI1 0.96 0.96 1.00 0.44 22 0.0020 0.030
## SI2 0.96 0.96 0.99 0.44 22 0.0020 0.030
## SI3 0.96 0.96 1.00 0.44 22 0.0020 0.030
## SI4 0.96 0.96 1.00 0.44 22 0.0020 0.031
## SI5 0.96 0.96 0.99 0.44 23 0.0019 0.029
## FC1 0.96 0.96 1.00 0.44 22 0.0020 0.029
## FC2 0.96 0.96 1.00 0.43 22 0.0021 0.030
## FC3 0.96 0.96 1.00 0.44 22 0.0020 0.029
## FC4 0.95 0.96 1.00 0.43 22 0.0021 0.030
## B1 0.95 0.96 1.00 0.43 22 0.0021 0.030
## OVERALLPE 0.95 0.96 0.99 0.42 21 0.0021 0.027
## OVERALLEE 0.95 0.96 0.99 0.43 22 0.0020 0.028
## OVERALLFC 0.95 0.96 1.00 0.43 22 0.0021 0.029
## OVERALLSI 0.96 0.96 0.99 0.43 22 0.0020 0.029
## med.r
## STROBEFamiliarity 0.42
## PE1 0.41
## PE2 0.42
## PE3 0.42
## PE4 0.41
## PE5 0.42
## PE6 0.41
## PE7 0.41
## PE8 0.41
## PE9 0.41
## EE1 0.41
## EE2 0.41
## EE3 0.41
## EE4 0.42
## EE5 0.42
## EE6 0.42
## SI1 0.42
## SI2 0.42
## SI3 0.42
## SI4 0.42
## SI5 0.42
## FC1 0.42
## FC2 0.41
## FC3 0.42
## FC4 0.41
## B1 0.41
## OVERALLPE 0.41
## OVERALLEE 0.41
## OVERALLFC 0.41
## OVERALLSI 0.41
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## STROBEFamiliarity 1015 0.33 0.34 0.30 0.30 2.4 0.79
## PE1 1015 0.76 0.76 0.76 0.73 5.4 1.28
## PE2 1015 0.67 0.66 0.67 0.64 4.4 1.40
## PE3 1015 0.61 0.61 0.61 0.58 4.1 1.29
## PE4 1015 0.64 0.64 0.64 0.61 5.1 1.21
## PE5 1015 0.61 0.62 0.62 0.58 5.0 1.19
## PE6 1015 0.73 0.73 0.73 0.70 4.7 1.30
## PE7 1015 0.72 0.72 0.73 0.70 5.4 1.22
## PE8 1015 0.70 0.69 0.69 0.67 4.7 1.30
## PE9 1015 0.68 0.68 0.68 0.65 4.6 1.29
## EE1 1015 0.74 0.74 0.74 0.71 4.9 1.25
## EE2 1015 0.72 0.72 0.72 0.69 5.2 1.14
## EE3 1015 0.68 0.68 0.68 0.65 5.1 1.12
## EE4 1015 0.58 0.58 0.58 0.54 4.4 1.40
## EE5 1015 0.62 0.62 0.62 0.58 5.2 1.28
## EE6 1015 0.61 0.61 0.61 0.58 5.0 1.36
## SI1 1015 0.63 0.63 0.63 0.60 4.3 1.36
## SI2 1015 0.61 0.61 0.61 0.57 4.9 1.35
## SI3 1015 0.63 0.63 0.63 0.59 4.1 1.46
## SI4 1015 0.61 0.62 0.62 0.58 5.3 1.17
## SI5 1015 0.51 0.51 0.51 0.47 4.2 1.37
## FC1 1015 0.63 0.63 0.63 0.59 5.3 1.42
## FC2 1015 0.76 0.76 0.76 0.74 5.1 1.28
## FC3 1015 0.63 0.63 0.63 0.59 5.3 1.42
## FC4 1015 0.77 0.77 0.77 0.75 4.9 1.27
## B1 1015 0.78 0.78 0.76 0.76 5.1 1.46
## OVERALLPE 1015 0.85 0.85 0.85 0.84 4.8 1.02
## OVERALLEE 1015 0.80 0.80 0.80 0.78 5.0 1.03
## OVERALLFC 1015 0.81 0.81 0.81 0.79 5.2 1.16
## OVERALLSI 1015 0.76 0.76 0.76 0.75 4.6 1.05#Factor Analysis ##Assess Normality Quite a few variables appear to be skewed. Due to large sample sizes Shapiro test is not really useful but regardless, if it’s run, it confirms non-normality.
for(colName in names(B1likert)){ #B1 normality
m <- mean(B1likert[,colName])
std <- sqrt(var(B1likert[,colName]))
h <- hist(t(B1likert[,colName]), freq = FALSE, density = 8, breaks = 8, col = "purple", xlab = colName, main = paste0("Histogram of ",colName))
curve(dnorm(x, mean = m, sd = std),
col = "darkblue", lwd = 5, add = TRUE, yaxt = "n")}
for(colName in names(B2likert)){ #B2 normality
m <- mean(B2likert[,colName])
std <- sqrt(var(B2likert[,colName]))
h <- hist(t(B2likert[,colName]), freq = FALSE, density = 8, breaks = 8, col = "purple", xlab = colName, main = paste0("Histogram of ",colName))
curve(dnorm(x, mean = m, sd = std),
col = "darkblue", lwd = 5, add = TRUE, yaxt = "n")}
for(colName in names(B3likert)){ #B3 normality
m <- mean(B3likert[,colName])
std <- sqrt(var(B3likert[,colName]))
h <- hist(t(B3likert[,colName]), freq = FALSE, density = 8, breaks = 8, col = "purple", xlab = colName, main = paste0("Histogram of ",colName))
curve(dnorm(x, mean = m, sd = std),
col = "darkblue", lwd = 5, add = TRUE, yaxt = "n")}
for(colName in names(likertscollapsed)){ #pooled normality
m <- mean(likertscollapsed[,colName])
std <- sqrt(var(likertscollapsed[,colName]))
h <- hist(t(likertscollapsed[,colName]), freq = FALSE, density = 8, breaks = 8, col = "purple", xlab = colName, main = paste0("Histogram of ",colName))
curve(dnorm(x, mean = m, sd = std),
col = "darkblue", lwd = 5, add = TRUE, yaxt = "n")}
#Confirmatory Factor Analysis The model with the entire dataset will not converge so problems are investigated within subgroups to detect issues that are causing the convergence problem. Model specifications
=~ means “is measured by”
~~ means covariance or, when it’s between a variable and itself, variance. All of our indicators’ error variances are significantly greater than 0, suggesting that the latent factors don’t perfectly predict the observed variable scores. That’s typical.
std.level = TRUE fixes the residual variances to 1. This means that you get an estimate for the first item in the scale and it’s not automatically set to 1.00 Since othogonal = true is not stated then oblique rotation is used which assumes that latent variables can be correlated. Maximum likelihood estimator (=“MLM”) is used so standard errors are robust to non-normality sample variance-covariance matrix =“MLR” should be used for the full dataset as it can be used with incomplete data. It’s “asymptotically equivalent” to mlm Standardize = T forces latent covariances to be correlations, which is handy for interpretation.
Model interpretation
The op column can be interpreted like a regression coefficient. For example, for a 1 SD increase in performance expectancy, the model predicts a .xxx unit increase in perceived usefulness (PE1).
As suggested by Hu and Bentler (see the paper for the full citatin), Comparative Fit Index (CFA) and Tucker-Lewis Index (TLI) values ???0.90 for acceptable and ???0.95 for good fit, root mean squared error of approximation (RMSEA) values ???0.06 (poor fit > .10), and standardized root mean squared residual (SRMR) values ??? 0.08 were considered to indicate a good fit between the model and the data.
##B3 Completers CFA
B3model <- #basic model
'PE =~ B3_PE1_Useful + B3_PE2_WriteFaster + B3_PE3_IncProductivity + B3_PE4_IncPubChances + B3_PE5_PosPR + B3_PE6_EasierWrite + B3_PE7_ImproveQuality + B3_PE8_MoreEfficient + B3_PE9_IncQualSameEffort
EE=~ B3_EE1_EasyToUse + B3_EE2_ClearUnderstandable + B3_EE3_BecomeSkillful + B3_EE4_TooMuchTime + B3_EE5_TooComplicated + B3_EE6_TooLongToLearn
SI=~ B3_SI1_Peers + B3_SI2_ResClimate + B3_SI3_Superiors + B3_SI4_Journals + B3_SI5_Field
FC=~ B3_FC1_Knowledge + B3_FC2_WorkflowCompatibility + B3_FC3_EasyToUse + B3_FC4_FitsWellWithWork
B3_BehIntUse ~ PE + EE + SI + FC
'
#fit the model
fitB3 <- cfa(model = B3model, data = B3likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 34 iterations
##
## Optimization method NLMINB
## Number of free parameters 84
##
## Number of observations 635
##
## Estimator ML Robust
## Model Fit Test Statistic 2109.630 1582.699
## Degrees of freedom 266 266
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.333
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 11030.845 7075.700
## Degrees of freedom 300 300
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.828 0.806
## Tucker-Lewis Index (TLI) 0.806 0.781
##
## Robust Comparative Fit Index (CFI) 0.834
## Robust Tucker-Lewis Index (TLI) 0.813
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -21395.903 -21395.903
## Loglikelihood unrestricted model (H1) -20341.088 -20341.088
##
## Number of free parameters 84 84
## Akaike (AIC) 42959.805 42959.805
## Bayesian (BIC) 43333.910 43333.910
## Sample-size adjusted Bayesian (BIC) 43067.217 43067.217
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.104 0.088
## 90 Percent Confidence Interval 0.100 0.109 0.085 0.092
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.102
## 90 Percent Confidence Interval 0.097 0.107
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.077 0.077
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B3_PE1_Useful 0.789 0.058 13.583 0.000 0.789 0.668
## B3_PE2_WrtFstr 1.176 0.041 28.508 0.000 1.176 0.812
## B3_PE3_IncPrdc 1.037 0.044 23.613 0.000 1.037 0.772
## B3_PE4_IncPbCh 0.645 0.054 11.881 0.000 0.645 0.540
## B3_PE5_PosPR 0.690 0.052 13.194 0.000 0.690 0.578
## B3_PE6_EasrWrt 1.131 0.044 25.904 0.000 1.131 0.859
## B3_PE7_ImprvQl 0.916 0.055 16.575 0.000 0.916 0.775
## B3_PE8_MrEffcn 1.143 0.044 26.156 0.000 1.143 0.866
## B3_PE9_IncQlSE 1.066 0.046 22.984 0.000 1.066 0.803
## EE =~
## B3_EE1_EasyTUs 1.044 0.047 21.996 0.000 1.044 0.841
## B3_EE2_ClrUndr 0.869 0.047 18.490 0.000 0.869 0.820
## B3_EE3_BcmSkll 0.724 0.049 14.674 0.000 0.724 0.671
## B3_EE4_ToMchTm 0.999 0.044 22.545 0.000 0.999 0.694
## B3_EE5_TCmplct 0.948 0.044 21.472 0.000 0.948 0.777
## B3_EE6_TLngTLr 0.965 0.046 21.048 0.000 0.965 0.731
## SI =~
## B3_SI1_Peers 1.124 0.044 25.348 0.000 1.124 0.869
## B3_SI2_ResClmt 0.814 0.053 15.271 0.000 0.814 0.641
## B3_SI3_Superrs 1.167 0.050 23.531 0.000 1.167 0.831
## B3_SI4_Journls 0.493 0.051 9.638 0.000 0.493 0.474
## B3_SI5_Field 0.765 0.059 12.885 0.000 0.765 0.551
## FC =~
## B3_FC1_Knowldg 0.530 0.047 11.249 0.000 0.530 0.576
## B3_FC2_WrkflwC 0.902 0.049 18.352 0.000 0.902 0.790
## B3_FC3_EasyTUs 0.944 0.044 21.306 0.000 0.944 0.840
## B3_FC4_FtsWlWW 1.018 0.042 23.980 0.000 1.018 0.818
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B3_BehIntUse ~
## PE 0.491 0.077 6.404 0.000 0.491 0.373
## EE -0.063 0.170 -0.370 0.712 -0.063 -0.048
## SI 0.273 0.060 4.583 0.000 0.273 0.207
## FC 0.423 0.209 2.024 0.043 0.423 0.321
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EE 0.521 0.038 13.559 0.000 0.521 0.521
## SI 0.510 0.037 13.632 0.000 0.510 0.510
## FC 0.648 0.034 19.188 0.000 0.648 0.648
## EE ~~
## SI 0.339 0.045 7.564 0.000 0.339 0.339
## FC 0.903 0.018 50.685 0.000 0.903 0.903
## SI ~~
## FC 0.471 0.040 11.906 0.000 0.471 0.471
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 5.636 0.047 120.173 0.000 5.636 4.769
## .B3_PE2_WrtFstr 4.430 0.057 77.086 0.000 4.430 3.059
## .B3_PE3_IncPrdc 4.113 0.053 77.163 0.000 4.113 3.062
## .B3_PE4_IncPbCh 5.302 0.047 111.864 0.000 5.302 4.439
## .B3_PE5_PosPR 5.117 0.047 108.097 0.000 5.117 4.290
## .B3_PE6_EasrWrt 4.806 0.052 91.972 0.000 4.806 3.650
## .B3_PE7_ImprvQl 5.576 0.047 118.758 0.000 5.576 4.713
## .B3_PE8_MrEffcn 4.789 0.052 91.452 0.000 4.789 3.629
## .B3_PE9_IncQlSE 4.631 0.053 87.888 0.000 4.631 3.488
## .B3_EE1_EasyTUs 5.213 0.049 105.826 0.000 5.213 4.200
## .B3_EE2_ClrUndr 5.504 0.042 130.913 0.000 5.504 5.195
## .B3_EE3_BcmSkll 5.351 0.043 124.855 0.000 5.351 4.955
## .B3_EE4_ToMchTm 4.699 0.057 82.271 0.000 4.699 3.265
## .B3_EE5_TCmplct 5.506 0.048 113.741 0.000 5.506 4.514
## .B3_EE6_TLngTLr 5.394 0.052 102.914 0.000 5.394 4.084
## .B3_SI1_Peers 4.613 0.051 89.849 0.000 4.613 3.566
## .B3_SI2_ResClmt 5.112 0.050 101.385 0.000 5.112 4.023
## .B3_SI3_Superrs 4.452 0.056 79.855 0.000 4.452 3.169
## .B3_SI4_Journls 5.625 0.041 136.300 0.000 5.625 5.409
## .B3_SI5_Field 4.476 0.055 81.287 0.000 4.476 3.226
## .B3_FC1_Knowldg 5.890 0.037 161.200 0.000 5.890 6.397
## .B3_FC2_WrkflwC 5.469 0.045 120.830 0.000 5.469 4.795
## .B3_FC3_EasyTUs 5.361 0.045 120.168 0.000 5.361 4.769
## .B3_FC4_FtsWlWW 5.164 0.049 104.479 0.000 5.164 4.146
## .B3_BehIntUse 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 0.774 0.080 9.677 0.000 0.774 0.554
## .B3_PE2_WrtFstr 0.713 0.051 13.893 0.000 0.713 0.340
## .B3_PE3_IncPrdc 0.730 0.057 12.907 0.000 0.730 0.405
## .B3_PE4_IncPbCh 1.011 0.078 12.983 0.000 1.011 0.708
## .B3_PE5_PosPR 0.947 0.069 13.818 0.000 0.947 0.665
## .B3_PE6_EasrWrt 0.456 0.036 12.836 0.000 0.456 0.263
## .B3_PE7_ImprvQl 0.560 0.039 14.473 0.000 0.560 0.400
## .B3_PE8_MrEffcn 0.435 0.035 12.353 0.000 0.435 0.250
## .B3_PE9_IncQlSE 0.626 0.054 11.630 0.000 0.626 0.355
## .B3_EE1_EasyTUs 0.451 0.039 11.646 0.000 0.451 0.292
## .B3_EE2_ClrUndr 0.368 0.033 11.206 0.000 0.368 0.328
## .B3_EE3_BcmSkll 0.642 0.048 13.491 0.000 0.642 0.550
## .B3_EE4_ToMchTm 1.073 0.070 15.296 0.000 1.073 0.518
## .B3_EE5_TCmplct 0.590 0.071 8.367 0.000 0.590 0.397
## .B3_EE6_TLngTLr 0.813 0.079 10.326 0.000 0.813 0.466
## .B3_SI1_Peers 0.411 0.046 8.880 0.000 0.411 0.245
## .B3_SI2_ResClmt 0.952 0.078 12.187 0.000 0.952 0.590
## .B3_SI3_Superrs 0.612 0.079 7.766 0.000 0.612 0.310
## .B3_SI4_Journls 0.839 0.072 11.705 0.000 0.839 0.775
## .B3_SI5_Field 1.340 0.096 13.892 0.000 1.340 0.696
## .B3_FC1_Knowldg 0.567 0.046 12.326 0.000 0.567 0.668
## .B3_FC2_WrkflwC 0.488 0.065 7.458 0.000 0.488 0.375
## .B3_FC3_EasyTUs 0.373 0.049 7.599 0.000 0.373 0.295
## .B3_FC4_FtsWlWW 0.514 0.049 10.420 0.000 0.514 0.332
## .B3_BehIntUse 0.809 0.059 13.632 0.000 0.809 0.468
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B3_PE1_Useful 0.446
## B3_PE2_WrtFstr 0.660
## B3_PE3_IncPrdc 0.595
## B3_PE4_IncPbCh 0.292
## B3_PE5_PosPR 0.335
## B3_PE6_EasrWrt 0.737
## B3_PE7_ImprvQl 0.600
## B3_PE8_MrEffcn 0.750
## B3_PE9_IncQlSE 0.645
## B3_EE1_EasyTUs 0.708
## B3_EE2_ClrUndr 0.672
## B3_EE3_BcmSkll 0.450
## B3_EE4_ToMchTm 0.482
## B3_EE5_TCmplct 0.603
## B3_EE6_TLngTLr 0.534
## B3_SI1_Peers 0.755
## B3_SI2_ResClmt 0.410
## B3_SI3_Superrs 0.690
## B3_SI4_Journls 0.225
## B3_SI5_Field 0.304
## B3_FC1_Knowldg 0.332
## B3_FC2_WrkflwC 0.625
## B3_FC3_EasyTUs 0.705
## B3_FC4_FtsWlWW 0.668
## B3_BehIntUse 0.532#pretty formatted table
library(dplyr)
library(tidyr)
parameterEstimates(fitB3, standardized = TRUE) %>%
filter(op == "=~") %>% # =~ means "is measured by"
select('Latent Factor' = lhs, Indicator = rhs, B = est, SE = se, Z = z, 'p-value'= pvalue, Beta = std.all) %>%
kable(digits = 3, format = "pandoc", caption = "Factor Loadings")| Latent Factor | Indicator | B | SE | Z | p-value | Beta |
|---|---|---|---|---|---|---|
| PE | B3_PE1_Useful | 0.7894066 | 0.0581167 | 13.583123 | 0 | 0.6679342 |
| PE | B3_PE2_WriteFaster | 1.1764783 | 0.0412686 | 28.507850 | 0 | 0.8124160 |
| PE | B3_PE3_IncProductivity | 1.0365922 | 0.0438999 | 23.612613 | 0 | 0.7716731 |
| PE | B3_PE4_IncPubChances | 0.6451227 | 0.0542967 | 11.881434 | 0 | 0.5401043 |
| PE | B3_PE5_PosPR | 0.6898467 | 0.0522850 | 13.193982 | 0 | 0.5783690 |
| PE | B3_PE6_EasierWrite | 1.1305322 | 0.0436437 | 25.903682 | 0 | 0.8585029 |
| PE | B3_PE7_ImproveQuality | 0.9164341 | 0.0552912 | 16.574697 | 0 | 0.7745077 |
| PE | B3_PE8_MoreEfficient | 1.1429314 | 0.0436967 | 26.156032 | 0 | 0.8661304 |
| PE | B3_PE9_IncQualSameEffort | 1.0663901 | 0.0463977 | 22.983666 | 0 | 0.8030420 |
| EE | B3_EE1_EasyToUse | 1.0440735 | 0.0474668 | 21.995888 | 0 | 0.8411685 |
| EE | B3_EE2_ClearUnderstandable | 0.8686541 | 0.0469809 | 18.489535 | 0 | 0.8199151 |
| EE | B3_EE3_BecomeSkillful | 0.7241970 | 0.0493520 | 14.674105 | 0 | 0.6705435 |
| EE | B3_EE4_TooMuchTime | 0.9993872 | 0.0443281 | 22.545240 | 0 | 0.6943328 |
| EE | B3_EE5_TooComplicated | 0.9475289 | 0.0441283 | 21.472149 | 0 | 0.7768299 |
| EE | B3_EE6_TooLongToLearn | 0.9649891 | 0.0458466 | 21.048196 | 0 | 0.7306735 |
| SI | B3_SI1_Peers | 1.1238467 | 0.0443365 | 25.348127 | 0 | 0.8687373 |
| SI | B3_SI2_ResClimate | 0.8139309 | 0.0533007 | 15.270552 | 0 | 0.6406174 |
| SI | B3_SI3_Superiors | 1.1668896 | 0.0495904 | 23.530550 | 0 | 0.8305982 |
| SI | B3_SI4_Journals | 0.4927818 | 0.0511283 | 9.638134 | 0 | 0.4738348 |
| SI | B3_SI5_Field | 0.7648378 | 0.0593596 | 12.884822 | 0 | 0.5512563 |
| FC | B3_FC1_Knowledge | 0.5302443 | 0.0471371 | 11.248975 | 0 | 0.5759138 |
| FC | B3_FC2_WorkflowCompatibility | 0.9015110 | 0.0491227 | 18.352218 | 0 | 0.7903661 |
| FC | B3_FC3_EasyToUse | 0.9439114 | 0.0443024 | 21.306111 | 0 | 0.8396897 |
| FC | B3_FC4_FitsWellWithWork | 1.0182293 | 0.0424609 | 23.980399 | 0 | 0.8175652 |
#correlation matrix
library(corrgram)
corrgram(B3likert, order = NULL, lower.panel = panel.shade,
upper.panel = NULL, text.panel = panel.txt, label.srt = TRUE,
main = "Subgroup 3 Correlation Matrix")## Warning in cor(x, use = "pairwise.complete.obs", method = cor.method): the
## standard deviation is zero## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
#look into the modification indices to see if there are certain variables that really should be collapsed.
modificationindices(fitB3, sort = TRUE)## lhs op rhs mi
## 399 B3_EE5_TooComplicated ~~ B3_EE6_TooLongToLearn 287.700
## 234 B3_PE4_IncPubChances ~~ B3_PE5_PosPR 251.988
## 421 B3_SI1_Peers ~~ B3_SI3_Superiors 135.222
## 345 B3_EE1_EasyToUse ~~ B3_EE2_ClearUnderstandable 103.467
## 124 EE =~ B3_FC3_EasyToUse 101.348
## 388 B3_EE4_TooMuchTime ~~ B3_EE6_TooLongToLearn 86.957
## 189 B3_PE2_WriteFaster ~~ B3_PE3_IncProductivity 83.317
## 349 B3_EE1_EasyToUse ~~ B3_EE6_TooLongToLearn 74.788
## 363 B3_EE2_ClearUnderstandable ~~ B3_EE6_TooLongToLearn 71.072
## 193 B3_PE2_WriteFaster ~~ B3_PE7_ImproveQuality 69.771
## 170 B3_PE1_Useful ~~ B3_PE7_ImproveQuality 69.675
## 107 PE =~ B3_FC4_FitsWellWithWork 66.744
## 387 B3_EE4_TooMuchTime ~~ B3_EE5_TooComplicated 55.832
## 348 B3_EE1_EasyToUse ~~ B3_EE5_TooComplicated 53.268
## 430 B3_SI2_ResClimate ~~ B3_SI4_Journals 50.781
## 125 EE =~ B3_FC4_FitsWellWithWork 45.394
## 129 SI =~ B3_PE4_IncPubChances 44.854
## 106 PE =~ B3_FC3_EasyToUse 44.230
## 145 FC =~ B3_PE1_Useful 41.364
## 455 B3_FC1_Knowledge ~~ B3_FC2_WorkflowCompatibility 39.262
## 97 PE =~ B3_EE5_TooComplicated 36.288
## 158 FC =~ B3_EE5_TooComplicated 33.703
## 108 EE =~ B3_PE1_Useful 33.166
## 361 B3_EE2_ClearUnderstandable ~~ B3_EE4_TooMuchTime 32.941
## 357 B3_EE1_EasyToUse ~~ B3_FC3_EasyToUse 31.759
## 130 SI =~ B3_PE5_PosPR 31.316
## 444 B3_SI4_Journals ~~ B3_SI5_Field 31.194
## 163 FC =~ B3_SI4_Journals 25.855
## 236 B3_PE4_IncPubChances ~~ B3_PE7_ImproveQuality 24.729
## 371 B3_EE2_ClearUnderstandable ~~ B3_FC3_EasyToUse 24.452
## 422 B3_SI1_Peers ~~ B3_SI4_Journals 23.830
## 120 EE =~ B3_SI4_Journals 23.817
## 126 SI =~ B3_PE1_Useful 23.697
## 398 B3_EE4_TooMuchTime ~~ B3_BehIntUse 23.600
## 249 B3_PE4_IncPubChances ~~ B3_SI5_Field 23.245
## 215 B3_PE3_IncProductivity ~~ B3_PE7_ImproveQuality 23.185
## 311 B3_PE7_ImproveQuality ~~ B3_BehIntUse 23.173
## 437 B3_SI3_Superiors ~~ B3_SI4_Journals 22.838
## 276 B3_PE6_EasierWrite ~~ B3_PE8_MoreEfficient 21.518
## 190 B3_PE2_WriteFaster ~~ B3_PE4_IncPubChances 21.337
## 269 B3_PE5_PosPR ~~ B3_SI5_Field 21.195
## 268 B3_PE5_PosPR ~~ B3_SI4_Journals 20.808
## 178 B3_PE1_Useful ~~ B3_EE6_TooLongToLearn 20.702
## 171 B3_PE1_Useful ~~ B3_PE8_MoreEfficient 20.624
## 131 SI =~ B3_PE6_EasierWrite 19.969
## 123 EE =~ B3_FC2_WorkflowCompatibility 19.600
## 98 PE =~ B3_EE6_TooLongToLearn 18.528
## 104 PE =~ B3_FC1_Knowledge 18.172
## 438 B3_SI3_Superiors ~~ B3_SI5_Field 17.855
## 237 B3_PE4_IncPubChances ~~ B3_PE8_MoreEfficient 17.805
## 95 PE =~ B3_EE3_BecomeSkillful 17.516
## 256 B3_PE5_PosPR ~~ B3_PE7_ImproveQuality 17.311
## 374 B3_EE3_BecomeSkillful ~~ B3_EE4_TooMuchTime 16.959
## 375 B3_EE3_BecomeSkillful ~~ B3_EE5_TooComplicated 16.630
## 154 FC =~ B3_EE1_EasyToUse 16.478
## 143 SI =~ B3_FC3_EasyToUse 16.468
## 273 B3_PE5_PosPR ~~ B3_FC4_FitsWellWithWork 15.971
## 255 B3_PE5_PosPR ~~ B3_PE6_EasierWrite 15.859
## 192 B3_PE2_WriteFaster ~~ B3_PE6_EasierWrite 15.545
## 429 B3_SI2_ResClimate ~~ B3_SI3_Superiors 15.511
## 362 B3_EE2_ClearUnderstandable ~~ B3_EE5_TooComplicated 15.398
## 161 FC =~ B3_SI2_ResClimate 15.219
## 360 B3_EE2_ClearUnderstandable ~~ B3_EE3_BecomeSkillful 15.054
## 188 B3_PE1_Useful ~~ B3_BehIntUse 14.950
## 99 PE =~ B3_SI1_Peers 14.749
## 139 SI =~ B3_EE5_TooComplicated 14.733
## 156 FC =~ B3_EE3_BecomeSkillful 14.491
## 459 B3_FC2_WorkflowCompatibility ~~ B3_FC3_EasyToUse 14.277
## 235 B3_PE4_IncPubChances ~~ B3_PE6_EasierWrite 14.213
## 376 B3_EE3_BecomeSkillful ~~ B3_EE6_TooLongToLearn 14.143
## 408 B3_EE5_TooComplicated ~~ B3_FC4_FitsWellWithWork 14.089
## 115 EE =~ B3_PE8_MoreEfficient 13.815
## 334 B3_PE9_IncQualSameEffort ~~ B3_EE6_TooLongToLearn 13.600
## 261 B3_PE5_PosPR ~~ B3_EE3_BecomeSkillful 12.837
## 404 B3_EE5_TooComplicated ~~ B3_SI5_Field 12.748
## 248 B3_PE4_IncPubChances ~~ B3_SI4_Journals 12.729
## 327 B3_PE8_MoreEfficient ~~ B3_FC4_FitsWellWithWork 12.148
## 137 SI =~ B3_EE3_BecomeSkillful 12.113
## 328 B3_PE8_MoreEfficient ~~ B3_BehIntUse 11.773
## 373 B3_EE2_ClearUnderstandable ~~ B3_BehIntUse 11.589
## 152 FC =~ B3_PE8_MoreEfficient 11.362
## 169 B3_PE1_Useful ~~ B3_PE6_EasierWrite 11.342
## 463 B3_FC3_EasyToUse ~~ B3_BehIntUse 10.999
## 191 B3_PE2_WriteFaster ~~ B3_PE5_PosPR 10.850
## 419 B3_EE6_TooLongToLearn ~~ B3_BehIntUse 10.639
## 180 B3_PE1_Useful ~~ B3_SI2_ResClimate 10.523
## 322 B3_PE8_MoreEfficient ~~ B3_SI4_Journals 10.490
## 464 B3_FC4_FitsWellWithWork ~~ B3_BehIntUse 10.345
## 457 B3_FC1_Knowledge ~~ B3_FC4_FitsWellWithWork 10.187
## 142 SI =~ B3_FC2_WorkflowCompatibility 10.034
## 93 PE =~ B3_EE1_EasyToUse 9.989
## 330 B3_PE9_IncQualSameEffort ~~ B3_EE2_ClearUnderstandable 9.847
## 415 B3_EE6_TooLongToLearn ~~ B3_FC1_Knowledge 9.777
## 460 B3_FC2_WorkflowCompatibility ~~ B3_FC4_FitsWellWithWork 9.614
## 351 B3_EE1_EasyToUse ~~ B3_SI2_ResClimate 9.609
## 347 B3_EE1_EasyToUse ~~ B3_EE4_TooMuchTime 9.527
## 118 EE =~ B3_SI2_ResClimate 9.166
## 339 B3_PE9_IncQualSameEffort ~~ B3_SI5_Field 9.007
## 382 B3_EE3_BecomeSkillful ~~ B3_FC1_Knowledge 9.001
## 160 FC =~ B3_SI1_Peers 8.952
## 253 B3_PE4_IncPubChances ~~ B3_FC4_FitsWellWithWork 8.949
## 103 PE =~ B3_SI5_Field 8.655
## 431 B3_SI2_ResClimate ~~ B3_SI5_Field 8.430
## 132 SI =~ B3_PE7_ImproveQuality 8.379
## 396 B3_EE4_TooMuchTime ~~ B3_FC3_EasyToUse 8.151
## 420 B3_SI1_Peers ~~ B3_SI2_ResClimate 8.037
## 102 PE =~ B3_SI4_Journals 7.896
## 182 B3_PE1_Useful ~~ B3_SI4_Journals 7.799
## 386 B3_EE3_BecomeSkillful ~~ B3_BehIntUse 7.723
## 435 B3_SI2_ResClimate ~~ B3_FC4_FitsWellWithWork 7.537
## 346 B3_EE1_EasyToUse ~~ B3_EE3_BecomeSkillful 7.464
## 405 B3_EE5_TooComplicated ~~ B3_FC1_Knowledge 7.332
## 257 B3_PE5_PosPR ~~ B3_PE8_MoreEfficient 7.311
## 353 B3_EE1_EasyToUse ~~ B3_SI4_Journals 7.206
## 184 B3_PE1_Useful ~~ B3_FC1_Knowledge 7.082
## 159 FC =~ B3_EE6_TooLongToLearn 6.850
## 359 B3_EE1_EasyToUse ~~ B3_BehIntUse 6.842
## 442 B3_SI3_Superiors ~~ B3_FC4_FitsWellWithWork 6.744
## 356 B3_EE1_EasyToUse ~~ B3_FC2_WorkflowCompatibility 6.716
## 369 B3_EE2_ClearUnderstandable ~~ B3_FC1_Knowledge 6.664
## 127 SI =~ B3_PE2_WriteFaster 6.468
## 207 B3_PE2_WriteFaster ~~ B3_FC1_Knowledge 6.435
## 162 FC =~ B3_SI3_Superiors 6.097
## 314 B3_PE8_MoreEfficient ~~ B3_EE2_ClearUnderstandable 6.061
## 210 B3_PE2_WriteFaster ~~ B3_FC4_FitsWellWithWork 6.056
## 402 B3_EE5_TooComplicated ~~ B3_SI3_Superiors 5.971
## 393 B3_EE4_TooMuchTime ~~ B3_SI5_Field 5.837
## 401 B3_EE5_TooComplicated ~~ B3_SI2_ResClimate 5.715
## 228 B3_PE3_IncProductivity ~~ B3_SI5_Field 5.687
## 301 B3_PE7_ImproveQuality ~~ B3_EE6_TooLongToLearn 5.609
## 312 B3_PE8_MoreEfficient ~~ B3_PE9_IncQualSameEffort 5.545
## 100 PE =~ B3_SI2_ResClimate 5.461
## 200 B3_PE2_WriteFaster ~~ B3_EE5_TooComplicated 5.425
## 223 B3_PE3_IncProductivity ~~ B3_EE6_TooLongToLearn 5.352
## 201 B3_PE2_WriteFaster ~~ B3_EE6_TooLongToLearn 5.243
## 275 B3_PE6_EasierWrite ~~ B3_PE7_ImproveQuality 5.227
## 329 B3_PE9_IncQualSameEffort ~~ B3_EE1_EasyToUse 5.155
## 414 B3_EE6_TooLongToLearn ~~ B3_SI5_Field 5.141
## 355 B3_EE1_EasyToUse ~~ B3_FC1_Knowledge 5.019
## 392 B3_EE4_TooMuchTime ~~ B3_SI4_Journals 4.948
## 175 B3_PE1_Useful ~~ B3_EE3_BecomeSkillful 4.916
## 390 B3_EE4_TooMuchTime ~~ B3_SI2_ResClimate 4.778
## 409 B3_EE5_TooComplicated ~~ B3_BehIntUse 4.745
## 368 B3_EE2_ClearUnderstandable ~~ B3_SI5_Field 4.721
## 418 B3_EE6_TooLongToLearn ~~ B3_FC4_FitsWellWithWork 4.713
## 321 B3_PE8_MoreEfficient ~~ B3_SI3_Superiors 4.681
## 305 B3_PE7_ImproveQuality ~~ B3_SI4_Journals 4.605
## 194 B3_PE2_WriteFaster ~~ B3_PE8_MoreEfficient 4.601
## 117 EE =~ B3_SI1_Peers 4.564
## 199 B3_PE2_WriteFaster ~~ B3_EE4_TooMuchTime 4.558
## 340 B3_PE9_IncQualSameEffort ~~ B3_FC1_Knowledge 4.523
## 128 SI =~ B3_PE3_IncProductivity 4.441
## 266 B3_PE5_PosPR ~~ B3_SI2_ResClimate 4.331
## 287 B3_PE6_EasierWrite ~~ B3_SI4_Journals 4.311
## 147 FC =~ B3_PE3_IncProductivity 4.290
## 233 B3_PE3_IncProductivity ~~ B3_BehIntUse 4.227
## 222 B3_PE3_IncProductivity ~~ B3_EE5_TooComplicated 4.205
## 423 B3_SI1_Peers ~~ B3_SI5_Field 4.107
## 394 B3_EE4_TooMuchTime ~~ B3_FC1_Knowledge 4.105
## 119 EE =~ B3_SI3_Superiors 4.047
## 112 EE =~ B3_PE5_PosPR 4.034
## 227 B3_PE3_IncProductivity ~~ B3_SI4_Journals 3.930
## 451 B3_SI5_Field ~~ B3_FC2_WorkflowCompatibility 3.926
## 110 EE =~ B3_PE3_IncProductivity 3.787
## 165 B3_PE1_Useful ~~ B3_PE2_WriteFaster 3.726
## 166 B3_PE1_Useful ~~ B3_PE3_IncProductivity 3.709
## 149 FC =~ B3_PE5_PosPR 3.667
## 445 B3_SI4_Journals ~~ B3_FC1_Knowledge 3.663
## 172 B3_PE1_Useful ~~ B3_PE9_IncQualSameEffort 3.513
## 185 B3_PE1_Useful ~~ B3_FC2_WorkflowCompatibility 3.401
## 206 B3_PE2_WriteFaster ~~ B3_SI5_Field 3.379
## 427 B3_SI1_Peers ~~ B3_FC4_FitsWellWithWork 3.377
## 219 B3_PE3_IncProductivity ~~ B3_EE2_ClearUnderstandable 3.344
## 226 B3_PE3_IncProductivity ~~ B3_SI3_Superiors 3.254
## 217 B3_PE3_IncProductivity ~~ B3_PE9_IncQualSameEffort 3.163
## 262 B3_PE5_PosPR ~~ B3_EE4_TooMuchTime 3.162
## 113 EE =~ B3_PE6_EasierWrite 3.064
## 288 B3_PE6_EasierWrite ~~ B3_SI5_Field 2.978
## 135 SI =~ B3_EE1_EasyToUse 2.823
## 212 B3_PE3_IncProductivity ~~ B3_PE4_IncPubChances 2.735
## 352 B3_EE1_EasyToUse ~~ B3_SI3_Superiors 2.703
## 250 B3_PE4_IncPubChances ~~ B3_FC1_Knowledge 2.702
## 295 B3_PE7_ImproveQuality ~~ B3_PE9_IncQualSameEffort 2.691
## 306 B3_PE7_ImproveQuality ~~ B3_SI5_Field 2.598
## 436 B3_SI2_ResClimate ~~ B3_BehIntUse 2.596
## 433 B3_SI2_ResClimate ~~ B3_FC2_WorkflowCompatibility 2.574
## 176 B3_PE1_Useful ~~ B3_EE4_TooMuchTime 2.526
## 324 B3_PE8_MoreEfficient ~~ B3_FC1_Knowledge 2.502
## 241 B3_PE4_IncPubChances ~~ B3_EE3_BecomeSkillful 2.462
## 412 B3_EE6_TooLongToLearn ~~ B3_SI3_Superiors 2.390
## 94 PE =~ B3_EE2_ClearUnderstandable 2.380
## 140 SI =~ B3_EE6_TooLongToLearn 2.351
## 333 B3_PE9_IncQualSameEffort ~~ B3_EE5_TooComplicated 2.289
## 280 B3_PE6_EasierWrite ~~ B3_EE3_BecomeSkillful 2.282
## 385 B3_EE3_BecomeSkillful ~~ B3_FC4_FitsWellWithWork 2.232
## 96 PE =~ B3_EE4_TooMuchTime 2.169
## 335 B3_PE9_IncQualSameEffort ~~ B3_SI1_Peers 2.161
## 389 B3_EE4_TooMuchTime ~~ B3_SI1_Peers 2.152
## 197 B3_PE2_WriteFaster ~~ B3_EE2_ClearUnderstandable 2.098
## 267 B3_PE5_PosPR ~~ B3_SI3_Superiors 2.070
## 155 FC =~ B3_EE2_ClearUnderstandable 2.069
## 367 B3_EE2_ClearUnderstandable ~~ B3_SI4_Journals 2.062
## 151 FC =~ B3_PE7_ImproveQuality 2.032
## 245 B3_PE4_IncPubChances ~~ B3_SI1_Peers 1.966
## 366 B3_EE2_ClearUnderstandable ~~ B3_SI3_Superiors 1.960
## 358 B3_EE1_EasyToUse ~~ B3_FC4_FitsWellWithWork 1.922
## 186 B3_PE1_Useful ~~ B3_FC3_EasyToUse 1.922
## 383 B3_EE3_BecomeSkillful ~~ B3_FC2_WorkflowCompatibility 1.902
## 246 B3_PE4_IncPubChances ~~ B3_SI2_ResClimate 1.868
## 213 B3_PE3_IncProductivity ~~ B3_PE5_PosPR 1.848
## 326 B3_PE8_MoreEfficient ~~ B3_FC3_EasyToUse 1.829
## 406 B3_EE5_TooComplicated ~~ B3_FC2_WorkflowCompatibility 1.805
## 164 FC =~ B3_SI5_Field 1.725
## 292 B3_PE6_EasierWrite ~~ B3_FC4_FitsWellWithWork 1.709
## 320 B3_PE8_MoreEfficient ~~ B3_SI2_ResClimate 1.707
## 105 PE =~ B3_FC2_WorkflowCompatibility 1.687
## 424 B3_SI1_Peers ~~ B3_FC1_Knowledge 1.628
## 114 EE =~ B3_PE7_ImproveQuality 1.610
## 336 B3_PE9_IncQualSameEffort ~~ B3_SI2_ResClimate 1.589
## 157 FC =~ B3_EE4_TooMuchTime 1.585
## 232 B3_PE3_IncProductivity ~~ B3_FC4_FitsWellWithWork 1.583
## 211 B3_PE2_WriteFaster ~~ B3_BehIntUse 1.576
## 304 B3_PE7_ImproveQuality ~~ B3_SI3_Superiors 1.565
## 133 SI =~ B3_PE8_MoreEfficient 1.491
## 417 B3_EE6_TooLongToLearn ~~ B3_FC3_EasyToUse 1.478
## 308 B3_PE7_ImproveQuality ~~ B3_FC2_WorkflowCompatibility 1.459
## 265 B3_PE5_PosPR ~~ B3_SI1_Peers 1.433
## 167 B3_PE1_Useful ~~ B3_PE4_IncPubChances 1.424
## 254 B3_PE4_IncPubChances ~~ B3_BehIntUse 1.422
## 413 B3_EE6_TooLongToLearn ~~ B3_SI4_Journals 1.398
## 134 SI =~ B3_PE9_IncQualSameEffort 1.393
## 372 B3_EE2_ClearUnderstandable ~~ B3_FC4_FitsWellWithWork 1.373
## 395 B3_EE4_TooMuchTime ~~ B3_FC2_WorkflowCompatibility 1.317
## 150 FC =~ B3_PE6_EasierWrite 1.243
## 116 EE =~ B3_PE9_IncQualSameEffort 1.204
## 381 B3_EE3_BecomeSkillful ~~ B3_SI5_Field 1.156
## 350 B3_EE1_EasyToUse ~~ B3_SI1_Peers 1.144
## 214 B3_PE3_IncProductivity ~~ B3_PE6_EasierWrite 1.135
## 446 B3_SI4_Journals ~~ B3_FC2_WorkflowCompatibility 1.103
## 332 B3_PE9_IncQualSameEffort ~~ B3_EE4_TooMuchTime 1.073
## 278 B3_PE6_EasierWrite ~~ B3_EE1_EasyToUse 1.037
## 174 B3_PE1_Useful ~~ B3_EE2_ClearUnderstandable 0.992
## 271 B3_PE5_PosPR ~~ B3_FC2_WorkflowCompatibility 0.984
## 377 B3_EE3_BecomeSkillful ~~ B3_SI1_Peers 0.972
## 122 EE =~ B3_FC1_Knowledge 0.954
## 318 B3_PE8_MoreEfficient ~~ B3_EE6_TooLongToLearn 0.941
## 283 B3_PE6_EasierWrite ~~ B3_EE6_TooLongToLearn 0.921
## 370 B3_EE2_ClearUnderstandable ~~ B3_FC2_WorkflowCompatibility 0.914
## 425 B3_SI1_Peers ~~ B3_FC2_WorkflowCompatibility 0.912
## 146 FC =~ B3_PE2_WriteFaster 0.896
## 416 B3_EE6_TooLongToLearn ~~ B3_FC2_WorkflowCompatibility 0.889
## 270 B3_PE5_PosPR ~~ B3_FC1_Knowledge 0.882
## 216 B3_PE3_IncProductivity ~~ B3_PE8_MoreEfficient 0.880
## 238 B3_PE4_IncPubChances ~~ B3_PE9_IncQualSameEffort 0.858
## 315 B3_PE8_MoreEfficient ~~ B3_EE3_BecomeSkillful 0.852
## 289 B3_PE6_EasierWrite ~~ B3_FC1_Knowledge 0.828
## 284 B3_PE6_EasierWrite ~~ B3_SI1_Peers 0.817
## 380 B3_EE3_BecomeSkillful ~~ B3_SI4_Journals 0.779
## 263 B3_PE5_PosPR ~~ B3_EE5_TooComplicated 0.767
## 218 B3_PE3_IncProductivity ~~ B3_EE1_EasyToUse 0.738
## 403 B3_EE5_TooComplicated ~~ B3_SI4_Journals 0.727
## 144 SI =~ B3_FC4_FitsWellWithWork 0.707
## 286 B3_PE6_EasierWrite ~~ B3_SI3_Superiors 0.672
## 453 B3_SI5_Field ~~ B3_FC4_FitsWellWithWork 0.666
## 153 FC =~ B3_PE9_IncQualSameEffort 0.666
## 441 B3_SI3_Superiors ~~ B3_FC3_EasyToUse 0.645
## 224 B3_PE3_IncProductivity ~~ B3_SI1_Peers 0.643
## 247 B3_PE4_IncPubChances ~~ B3_SI3_Superiors 0.634
## 221 B3_PE3_IncProductivity ~~ B3_EE4_TooMuchTime 0.623
## 300 B3_PE7_ImproveQuality ~~ B3_EE5_TooComplicated 0.594
## 242 B3_PE4_IncPubChances ~~ B3_EE4_TooMuchTime 0.577
## 109 EE =~ B3_PE2_WriteFaster 0.576
## 177 B3_PE1_Useful ~~ B3_EE5_TooComplicated 0.574
## 323 B3_PE8_MoreEfficient ~~ B3_SI5_Field 0.538
## 198 B3_PE2_WriteFaster ~~ B3_EE3_BecomeSkillful 0.517
## 202 B3_PE2_WriteFaster ~~ B3_SI1_Peers 0.512
## 274 B3_PE5_PosPR ~~ B3_BehIntUse 0.490
## 136 SI =~ B3_EE2_ClearUnderstandable 0.483
## 141 SI =~ B3_FC1_Knowledge 0.476
## 458 B3_FC1_Knowledge ~~ B3_BehIntUse 0.476
## 296 B3_PE7_ImproveQuality ~~ B3_EE1_EasyToUse 0.476
## 310 B3_PE7_ImproveQuality ~~ B3_FC4_FitsWellWithWork 0.472
## 456 B3_FC1_Knowledge ~~ B3_FC3_EasyToUse 0.461
## 303 B3_PE7_ImproveQuality ~~ B3_SI2_ResClimate 0.458
## 443 B3_SI3_Superiors ~~ B3_BehIntUse 0.456
## 461 B3_FC2_WorkflowCompatibility ~~ B3_BehIntUse 0.456
## 196 B3_PE2_WriteFaster ~~ B3_EE1_EasyToUse 0.453
## 290 B3_PE6_EasierWrite ~~ B3_FC2_WorkflowCompatibility 0.443
## 411 B3_EE6_TooLongToLearn ~~ B3_SI2_ResClimate 0.435
## 364 B3_EE2_ClearUnderstandable ~~ B3_SI1_Peers 0.428
## 299 B3_PE7_ImproveQuality ~~ B3_EE4_TooMuchTime 0.427
## 307 B3_PE7_ImproveQuality ~~ B3_FC1_Knowledge 0.420
## 313 B3_PE8_MoreEfficient ~~ B3_EE1_EasyToUse 0.420
## 240 B3_PE4_IncPubChances ~~ B3_EE2_ClearUnderstandable 0.415
## 168 B3_PE1_Useful ~~ B3_PE5_PosPR 0.406
## 230 B3_PE3_IncProductivity ~~ B3_FC2_WorkflowCompatibility 0.405
## 277 B3_PE6_EasierWrite ~~ B3_PE9_IncQualSameEffort 0.400
## 272 B3_PE5_PosPR ~~ B3_FC3_EasyToUse 0.396
## 331 B3_PE9_IncQualSameEffort ~~ B3_EE3_BecomeSkillful 0.394
## 354 B3_EE1_EasyToUse ~~ B3_SI5_Field 0.378
## 279 B3_PE6_EasierWrite ~~ B3_EE2_ClearUnderstandable 0.344
## 203 B3_PE2_WriteFaster ~~ B3_SI2_ResClimate 0.332
## 450 B3_SI5_Field ~~ B3_FC1_Knowledge 0.315
## 343 B3_PE9_IncQualSameEffort ~~ B3_FC4_FitsWellWithWork 0.314
## 239 B3_PE4_IncPubChances ~~ B3_EE1_EasyToUse 0.309
## 282 B3_PE6_EasierWrite ~~ B3_EE5_TooComplicated 0.301
## 432 B3_SI2_ResClimate ~~ B3_FC1_Knowledge 0.295
## 344 B3_PE9_IncQualSameEffort ~~ B3_BehIntUse 0.286
## 407 B3_EE5_TooComplicated ~~ B3_FC3_EasyToUse 0.258
## 449 B3_SI4_Journals ~~ B3_BehIntUse 0.245
## 291 B3_PE6_EasierWrite ~~ B3_FC3_EasyToUse 0.242
## 434 B3_SI2_ResClimate ~~ B3_FC3_EasyToUse 0.231
## 101 PE =~ B3_SI3_Superiors 0.224
## 179 B3_PE1_Useful ~~ B3_SI1_Peers 0.218
## 447 B3_SI4_Journals ~~ B3_FC3_EasyToUse 0.217
## 309 B3_PE7_ImproveQuality ~~ B3_FC3_EasyToUse 0.208
## 173 B3_PE1_Useful ~~ B3_EE1_EasyToUse 0.204
## 298 B3_PE7_ImproveQuality ~~ B3_EE3_BecomeSkillful 0.200
## 365 B3_EE2_ClearUnderstandable ~~ B3_SI2_ResClimate 0.192
## 316 B3_PE8_MoreEfficient ~~ B3_EE4_TooMuchTime 0.186
## 293 B3_PE6_EasierWrite ~~ B3_BehIntUse 0.185
## 195 B3_PE2_WriteFaster ~~ B3_PE9_IncQualSameEffort 0.180
## 384 B3_EE3_BecomeSkillful ~~ B3_FC3_EasyToUse 0.166
## 319 B3_PE8_MoreEfficient ~~ B3_SI1_Peers 0.159
## 317 B3_PE8_MoreEfficient ~~ B3_EE5_TooComplicated 0.159
## 378 B3_EE3_BecomeSkillful ~~ B3_SI2_ResClimate 0.155
## 462 B3_FC3_EasyToUse ~~ B3_FC4_FitsWellWithWork 0.147
## 379 B3_EE3_BecomeSkillful ~~ B3_SI3_Superiors 0.138
## 440 B3_SI3_Superiors ~~ B3_FC2_WorkflowCompatibility 0.135
## 391 B3_EE4_TooMuchTime ~~ B3_SI3_Superiors 0.134
## 454 B3_SI5_Field ~~ B3_BehIntUse 0.133
## 285 B3_PE6_EasierWrite ~~ B3_SI2_ResClimate 0.130
## 209 B3_PE2_WriteFaster ~~ B3_FC3_EasyToUse 0.129
## 342 B3_PE9_IncQualSameEffort ~~ B3_FC3_EasyToUse 0.127
## 337 B3_PE9_IncQualSameEffort ~~ B3_SI3_Superiors 0.103
## 452 B3_SI5_Field ~~ B3_FC3_EasyToUse 0.101
## 302 B3_PE7_ImproveQuality ~~ B3_SI1_Peers 0.091
## 439 B3_SI3_Superiors ~~ B3_FC1_Knowledge 0.086
## 181 B3_PE1_Useful ~~ B3_SI3_Superiors 0.083
## 325 B3_PE8_MoreEfficient ~~ B3_FC2_WorkflowCompatibility 0.081
## 294 B3_PE7_ImproveQuality ~~ B3_PE8_MoreEfficient 0.081
## 111 EE =~ B3_PE4_IncPubChances 0.079
## 138 SI =~ B3_EE4_TooMuchTime 0.079
## 251 B3_PE4_IncPubChances ~~ B3_FC2_WorkflowCompatibility 0.075
## 229 B3_PE3_IncProductivity ~~ B3_FC1_Knowledge 0.068
## 204 B3_PE2_WriteFaster ~~ B3_SI3_Superiors 0.067
## 297 B3_PE7_ImproveQuality ~~ B3_EE2_ClearUnderstandable 0.057
## 448 B3_SI4_Journals ~~ B3_FC4_FitsWellWithWork 0.055
## 148 FC =~ B3_PE4_IncPubChances 0.044
## 243 B3_PE4_IncPubChances ~~ B3_EE5_TooComplicated 0.042
## 121 EE =~ B3_SI5_Field 0.041
## 220 B3_PE3_IncProductivity ~~ B3_EE3_BecomeSkillful 0.039
## 400 B3_EE5_TooComplicated ~~ B3_SI1_Peers 0.032
## 252 B3_PE4_IncPubChances ~~ B3_FC3_EasyToUse 0.030
## 183 B3_PE1_Useful ~~ B3_SI5_Field 0.029
## 260 B3_PE5_PosPR ~~ B3_EE2_ClearUnderstandable 0.029
## 244 B3_PE4_IncPubChances ~~ B3_EE6_TooLongToLearn 0.028
## 397 B3_EE4_TooMuchTime ~~ B3_FC4_FitsWellWithWork 0.026
## 231 B3_PE3_IncProductivity ~~ B3_FC3_EasyToUse 0.021
## 281 B3_PE6_EasierWrite ~~ B3_EE4_TooMuchTime 0.017
## 205 B3_PE2_WriteFaster ~~ B3_SI4_Journals 0.013
## 208 B3_PE2_WriteFaster ~~ B3_FC2_WorkflowCompatibility 0.008
## 258 B3_PE5_PosPR ~~ B3_PE9_IncQualSameEffort 0.004
## 264 B3_PE5_PosPR ~~ B3_EE6_TooLongToLearn 0.004
## 225 B3_PE3_IncProductivity ~~ B3_SI2_ResClimate 0.003
## 187 B3_PE1_Useful ~~ B3_FC4_FitsWellWithWork 0.002
## 428 B3_SI1_Peers ~~ B3_BehIntUse 0.001
## 338 B3_PE9_IncQualSameEffort ~~ B3_SI4_Journals 0.001
## 341 B3_PE9_IncQualSameEffort ~~ B3_FC2_WorkflowCompatibility 0.000
## 259 B3_PE5_PosPR ~~ B3_EE1_EasyToUse 0.000
## 410 B3_EE6_TooLongToLearn ~~ B3_SI1_Peers 0.000
## 426 B3_SI1_Peers ~~ B3_FC3_EasyToUse 0.000
## epc sepc.lv sepc.all sepc.nox
## 399 0.545 0.545 0.788 0.788
## 234 0.636 0.636 0.650 0.650
## 421 0.687 0.687 1.371 1.371
## 345 0.228 0.228 0.561 0.561
## 124 1.102 1.102 0.980 0.980
## 388 0.387 0.387 0.415 0.415
## 189 0.302 0.302 0.418 0.418
## 349 -0.261 -0.261 -0.431 -0.431
## 363 -0.223 -0.223 -0.408 -0.408
## 193 -0.242 -0.242 -0.383 -0.383
## 170 0.238 0.238 0.362 0.362
## 107 0.408 0.408 0.327 0.327
## 387 0.271 0.271 0.341 0.341
## 348 -0.195 -0.195 -0.379 -0.379
## 430 0.274 0.274 0.307 0.307
## 125 -0.820 -0.820 -0.659 -0.659
## 129 0.349 0.349 0.292 0.292
## 106 -0.296 -0.296 -0.263 -0.263
## 145 0.336 0.336 0.284 0.284
## 455 0.148 0.148 0.282 0.282
## 97 -0.253 -0.253 -0.208 -0.208
## 158 -0.671 -0.671 -0.550 -0.550
## 108 0.261 0.261 0.221 0.221
## 361 -0.171 -0.171 -0.272 -0.272
## 357 0.119 0.119 0.289 0.289
## 130 0.283 0.283 0.237 0.237
## 444 0.249 0.249 0.235 0.235
## 163 0.231 0.231 0.223 0.223
## 236 0.159 0.159 0.212 0.212
## 371 0.092 0.092 0.248 0.248
## 422 -0.165 -0.165 -0.280 -0.280
## 120 0.205 0.205 0.197 0.197
## 126 0.225 0.225 0.191 0.191
## 398 0.195 0.195 0.209 0.209
## 249 0.232 0.232 0.199 0.199
## 215 -0.138 -0.138 -0.216 -0.216
## 311 0.140 0.140 0.208 0.208
## 437 -0.176 -0.176 -0.246 -0.246
## 276 0.111 0.111 0.249 0.249
## 190 -0.170 -0.170 -0.200 -0.200
## 269 0.215 0.215 0.191 0.191
## 268 0.167 0.167 0.187 0.187
## 178 0.154 0.154 0.194 0.194
## 171 -0.122 -0.122 -0.211 -0.211
## 131 -0.173 -0.173 -0.131 -0.131
## 123 -0.499 -0.499 -0.437 -0.437
## 98 -0.207 -0.207 -0.157 -0.157
## 104 -0.190 -0.190 -0.207 -0.207
## 438 -0.206 -0.206 -0.227 -0.227
## 237 -0.127 -0.127 -0.191 -0.191
## 95 0.175 0.175 0.162 0.162
## 256 0.130 0.130 0.178 0.178
## 374 -0.149 -0.149 -0.179 -0.179
## 375 -0.114 -0.114 -0.185 -0.185
## 154 0.452 0.452 0.364 0.364
## 143 -0.155 -0.155 -0.138 -0.138
## 273 -0.123 -0.123 -0.177 -0.177
## 255 -0.118 -0.118 -0.180 -0.180
## 192 0.112 0.112 0.196 0.196
## 429 -0.177 -0.177 -0.231 -0.231
## 362 -0.092 -0.092 -0.197 -0.197
## 161 0.196 0.196 0.155 0.155
## 360 0.089 0.089 0.182 0.182
## 188 0.129 0.129 0.163 0.163
## 99 -0.177 -0.177 -0.137 -0.137
## 139 -0.149 -0.149 -0.122 -0.122
## 156 0.428 0.428 0.396 0.396
## 459 -0.090 -0.090 -0.211 -0.211
## 235 -0.115 -0.115 -0.169 -0.169
## 376 -0.120 -0.120 -0.166 -0.166
## 408 -0.098 -0.098 -0.178 -0.178
## 115 -0.139 -0.139 -0.105 -0.105
## 334 -0.116 -0.116 -0.163 -0.163
## 261 0.117 0.117 0.149 0.149
## 404 -0.138 -0.138 -0.156 -0.156
## 248 0.134 0.134 0.146 0.146
## 327 0.080 0.080 0.168 0.168
## 137 0.134 0.134 0.124 0.124
## 328 -0.094 -0.094 -0.159 -0.159
## 373 -0.086 -0.086 -0.158 -0.158
## 152 -0.146 -0.146 -0.110 -0.110
## 169 -0.092 -0.092 -0.155 -0.155
## 463 -0.094 -0.094 -0.171 -0.171
## 191 -0.118 -0.118 -0.143 -0.143
## 419 0.115 0.115 0.142 0.142
## 180 0.118 0.118 0.138 0.138
## 322 -0.087 -0.087 -0.145 -0.145
## 464 0.102 0.102 0.159 0.159
## 457 -0.079 -0.079 -0.147 -0.147
## 142 0.128 0.128 0.112 0.112
## 93 0.124 0.124 0.100 0.100
## 330 0.069 0.069 0.145 0.145
## 415 0.091 0.091 0.134 0.134
## 460 0.082 0.082 0.164 0.164
## 351 0.094 0.094 0.144 0.144
## 347 -0.105 -0.105 -0.151 -0.151
## 118 0.140 0.140 0.110 0.110
## 339 0.119 0.119 0.130 0.130
## 382 0.076 0.076 0.126 0.126
## 160 -0.133 -0.133 -0.103 -0.103
## 253 -0.095 -0.095 -0.132 -0.132
## 103 0.175 0.175 0.126 0.126
## 431 0.143 0.143 0.127 0.127
## 132 0.117 0.117 0.099 0.099
## 396 -0.084 -0.084 -0.134 -0.134
## 420 -0.119 -0.119 -0.191 -0.191
## 102 0.130 0.130 0.125 0.125
## 182 0.093 0.093 0.116 0.116
## 386 -0.086 -0.086 -0.119 -0.119
## 435 0.088 0.088 0.125 0.125
## 346 0.071 0.071 0.132 0.132
## 405 0.068 0.068 0.118 0.118
## 257 -0.079 -0.079 -0.123 -0.123
## 353 0.074 0.074 0.121 0.121
## 184 0.073 0.073 0.111 0.111
## 159 -0.342 -0.342 -0.259 -0.259
## 359 -0.075 -0.075 -0.125 -0.125
## 442 -0.075 -0.075 -0.133 -0.133
## 356 -0.060 -0.060 -0.127 -0.127
## 369 -0.053 -0.053 -0.115 -0.115
## 127 -0.118 -0.118 -0.082 -0.082
## 207 -0.070 -0.070 -0.110 -0.110
## 162 -0.119 -0.119 -0.085 -0.085
## 314 -0.047 -0.047 -0.119 -0.119
## 210 0.069 0.069 0.114 0.114
## 402 0.073 0.073 0.122 0.122
## 393 -0.123 -0.123 -0.102 -0.102
## 401 -0.079 -0.079 -0.106 -0.106
## 228 -0.101 -0.101 -0.102 -0.102
## 301 0.070 0.070 0.104 0.104
## 312 0.061 0.061 0.117 0.117
## 100 0.120 0.120 0.095 0.095
## 200 -0.068 -0.068 -0.105 -0.105
## 223 -0.078 -0.078 -0.101 -0.101
## 201 -0.077 -0.077 -0.102 -0.102
## 275 -0.056 -0.056 -0.110 -0.110
## 329 0.057 0.057 0.107 0.107
## 414 -0.101 -0.101 -0.097 -0.097
## 355 -0.052 -0.052 -0.102 -0.102
## 392 -0.089 -0.089 -0.093 -0.093
## 175 -0.066 -0.066 -0.093 -0.093
## 390 -0.095 -0.095 -0.094 -0.094
## 409 0.067 0.067 0.098 0.098
## 368 0.068 0.068 0.097 0.097
## 418 -0.065 -0.065 -0.101 -0.101
## 321 0.057 0.057 0.111 0.111
## 305 0.062 0.062 0.091 0.091
## 194 0.060 0.060 0.108 0.108
## 117 -0.086 -0.086 -0.066 -0.066
## 199 0.082 0.082 0.094 0.094
## 340 -0.054 -0.054 -0.091 -0.091
## 128 -0.097 -0.097 -0.072 -0.072
## 266 0.083 0.083 0.088 0.088
## 287 -0.057 -0.057 -0.092 -0.092
## 147 -0.108 -0.108 -0.080 -0.080
## 233 -0.068 -0.068 -0.089 -0.089
## 222 -0.060 -0.060 -0.091 -0.091
## 423 -0.091 -0.091 -0.123 -0.123
## 394 -0.067 -0.067 -0.086 -0.086
## 119 -0.088 -0.088 -0.063 -0.063
## 112 -0.100 -0.100 -0.084 -0.084
## 227 -0.066 -0.066 -0.084 -0.084
## 451 0.071 0.071 0.087 0.087
## 110 -0.088 -0.088 -0.066 -0.066
## 165 -0.063 -0.063 -0.085 -0.085
## 166 -0.063 -0.063 -0.083 -0.083
## 149 -0.109 -0.109 -0.092 -0.092
## 445 0.054 0.054 0.079 0.079
## 172 -0.057 -0.057 -0.082 -0.082
## 185 0.050 0.050 0.081 0.081
## 206 -0.078 -0.078 -0.080 -0.080
## 427 -0.047 -0.047 -0.102 -0.102
## 219 0.043 0.043 0.083 0.083
## 226 0.059 0.059 0.088 0.088
## 217 -0.055 -0.055 -0.081 -0.081
## 262 -0.075 -0.075 -0.075 -0.075
## 113 0.066 0.066 0.050 0.050
## 288 -0.060 -0.060 -0.077 -0.077
## 135 0.061 0.061 0.049 0.049
## 212 -0.060 -0.060 -0.070 -0.070
## 352 -0.045 -0.045 -0.086 -0.086
## 250 0.051 0.051 0.067 0.067
## 295 0.044 0.044 0.075 0.075
## 306 0.060 0.060 0.069 0.069
## 436 -0.061 -0.061 -0.070 -0.070
## 433 0.049 0.049 0.072 0.072
## 176 0.061 0.061 0.067 0.067
## 324 -0.035 -0.035 -0.071 -0.071
## 241 0.053 0.053 0.065 0.065
## 412 0.053 0.053 0.076 0.076
## 94 0.053 0.053 0.050 0.050
## 140 -0.068 -0.068 -0.051 -0.051
## 333 -0.041 -0.041 -0.068 -0.068
## 280 0.037 0.037 0.068 0.068
## 385 -0.039 -0.039 -0.068 -0.068
## 96 0.080 0.080 0.056 0.056
## 335 -0.040 -0.040 -0.078 -0.078
## 389 0.051 0.051 0.077 0.077
## 197 0.034 0.034 0.067 0.067
## 267 -0.052 -0.052 -0.068 -0.068
## 155 0.139 0.139 0.131 0.131
## 367 0.035 0.035 0.064 0.064
## 151 0.065 0.065 0.055 0.055
## 245 0.046 0.046 0.071 0.071
## 366 -0.034 -0.034 -0.071 -0.071
## 358 0.033 0.033 0.069 0.069
## 186 -0.034 -0.034 -0.063 -0.063
## 383 0.034 0.034 0.062 0.062
## 246 0.056 0.056 0.057 0.057
## 213 -0.048 -0.048 -0.058 -0.058
## 326 -0.027 -0.027 -0.067 -0.067
## 406 -0.033 -0.033 -0.062 -0.062
## 164 0.077 0.077 0.055 0.055
## 292 0.030 0.030 0.063 0.063
## 320 -0.039 -0.039 -0.060 -0.060
## 105 0.061 0.061 0.053 0.053
## 424 0.032 0.032 0.066 0.066
## 114 0.050 0.050 0.043 0.043
## 336 -0.043 -0.043 -0.055 -0.055
## 157 -0.185 -0.185 -0.128 -0.128
## 232 0.035 0.035 0.057 0.057
## 211 -0.042 -0.042 -0.055 -0.055
## 304 -0.036 -0.036 -0.061 -0.061
## 133 -0.047 -0.047 -0.035 -0.035
## 417 -0.032 -0.032 -0.058 -0.058
## 308 -0.028 -0.028 -0.054 -0.054
## 265 0.038 0.038 0.061 0.061
## 167 0.044 0.044 0.049 0.049
## 254 0.045 0.045 0.049 0.049
## 413 -0.041 -0.041 -0.050 -0.050
## 134 -0.051 -0.051 -0.039 -0.039
## 372 -0.025 -0.025 -0.057 -0.057
## 395 -0.037 -0.037 -0.052 -0.052
## 150 0.049 0.049 0.037 0.037
## 116 0.047 0.047 0.035 0.035
## 381 0.042 0.042 0.045 0.045
## 350 -0.026 -0.026 -0.060 -0.060
## 214 0.030 0.030 0.051 0.051
## 446 0.029 0.029 0.046 0.046
## 332 -0.037 -0.037 -0.045 -0.045
## 278 0.022 0.022 0.050 0.050
## 174 -0.024 -0.024 -0.044 -0.044
## 271 0.029 0.029 0.043 0.043
## 377 0.026 0.026 0.051 0.051
## 122 0.101 0.101 0.110 0.110
## 318 -0.027 -0.027 -0.045 -0.045
## 283 -0.027 -0.027 -0.044 -0.044
## 370 -0.019 -0.019 -0.046 -0.046
## 425 -0.023 -0.023 -0.052 -0.052
## 146 -0.050 -0.050 -0.034 -0.034
## 416 0.027 0.027 0.043 0.043
## 270 0.028 0.028 0.039 0.039
## 216 0.026 0.026 0.046 0.046
## 238 -0.032 -0.032 -0.040 -0.040
## 315 0.022 0.022 0.042 0.042
## 289 -0.021 -0.021 -0.041 -0.041
## 284 -0.022 -0.022 -0.050 -0.050
## 380 0.027 0.027 0.037 0.037
## 263 -0.028 -0.028 -0.038 -0.038
## 218 0.023 0.023 0.040 0.040
## 403 -0.026 -0.026 -0.037 -0.037
## 144 0.036 0.036 0.029 0.029
## 286 -0.022 -0.022 -0.042 -0.042
## 453 0.030 0.030 0.037 0.037
## 153 0.040 0.040 0.030 0.030
## 441 -0.020 -0.020 -0.042 -0.042
## 224 -0.023 -0.023 -0.042 -0.042
## 247 -0.029 -0.029 -0.037 -0.037
## 221 -0.030 -0.030 -0.034 -0.034
## 300 0.020 0.020 0.034 0.034
## 242 -0.033 -0.033 -0.032 -0.032
## 109 -0.035 -0.035 -0.024 -0.024
## 177 0.022 0.022 0.033 0.033
## 323 -0.025 -0.025 -0.033 -0.033
## 198 -0.021 -0.021 -0.031 -0.031
## 202 -0.021 -0.021 -0.038 -0.038
## 274 -0.025 -0.025 -0.029 -0.029
## 136 0.022 0.022 0.021 0.021
## 141 0.027 0.027 0.029 0.029
## 458 -0.020 -0.020 -0.029 -0.029
## 296 -0.016 -0.016 -0.032 -0.032
## 310 -0.017 -0.017 -0.031 -0.031
## 456 -0.015 -0.015 -0.032 -0.032
## 303 0.022 0.022 0.029 0.029
## 443 0.024 0.024 0.034 0.034
## 461 0.020 0.020 0.032 0.032
## 196 0.018 0.018 0.032 0.032
## 290 -0.015 -0.015 -0.031 -0.031
## 411 -0.025 -0.025 -0.029 -0.029
## 364 0.014 0.014 0.036 0.036
## 299 -0.022 -0.022 -0.028 -0.028
## 307 0.016 0.016 0.028 0.028
## 313 -0.014 -0.014 -0.032 -0.032
## 240 0.017 0.017 0.028 0.028
## 168 0.023 0.023 0.027 0.027
## 230 -0.017 -0.017 -0.029 -0.029
## 277 -0.017 -0.017 -0.031 -0.031
## 272 -0.017 -0.017 -0.028 -0.028
## 331 0.017 0.017 0.027 0.027
## 354 0.022 0.022 0.028 0.028
## 279 -0.011 -0.011 -0.028 -0.028
## 203 -0.021 -0.021 -0.025 -0.025
## 450 -0.020 -0.020 -0.023 -0.023
## 343 0.015 0.015 0.026 0.026
## 239 -0.017 -0.017 -0.025 -0.025
## 282 0.013 0.013 0.026 0.026
## 432 0.017 0.017 0.023 0.023
## 344 0.017 0.017 0.023 0.023
## 407 0.012 0.012 0.025 0.025
## 449 0.017 0.017 0.021 0.021
## 291 0.010 0.010 0.024 0.024
## 434 0.013 0.013 0.022 0.022
## 101 -0.024 -0.024 -0.017 -0.017
## 179 -0.014 -0.014 -0.024 -0.024
## 447 0.012 0.012 0.021 0.021
## 309 -0.010 -0.010 -0.021 -0.021
## 173 -0.012 -0.012 -0.021 -0.021
## 298 -0.012 -0.012 -0.019 -0.019
## 365 -0.012 -0.012 -0.020 -0.020
## 316 0.013 0.013 0.020 0.020
## 293 -0.012 -0.012 -0.020 -0.020
## 195 -0.013 -0.013 -0.020 -0.020
## 384 0.009 0.009 0.019 0.019
## 319 0.009 0.009 0.022 0.022
## 317 -0.009 -0.009 -0.019 -0.019
## 378 -0.013 -0.013 -0.017 -0.017
## 462 -0.010 -0.010 -0.023 -0.023
## 379 0.011 0.011 0.018 0.018
## 440 0.010 0.010 0.019 0.019
## 391 0.014 0.014 0.018 0.018
## 454 0.016 0.016 0.015 0.015
## 285 -0.011 -0.011 -0.016 -0.016
## 209 -0.009 -0.009 -0.017 -0.017
## 342 0.008 0.008 0.017 0.017
## 337 -0.010 -0.010 -0.016 -0.016
## 452 0.010 0.010 0.014 0.014
## 302 0.008 0.008 0.016 0.016
## 439 -0.008 -0.008 -0.014 -0.014
## 181 -0.009 -0.009 -0.014 -0.014
## 325 0.006 0.006 0.013 0.013
## 294 -0.007 -0.007 -0.014 -0.014
## 111 -0.014 -0.014 -0.012 -0.012
## 138 -0.014 -0.014 -0.010 -0.010
## 251 0.008 0.008 0.012 0.012
## 229 -0.007 -0.007 -0.011 -0.011
## 204 0.008 0.008 0.013 0.013
## 297 0.005 0.005 0.011 0.011
## 448 -0.007 -0.007 -0.010 -0.010
## 148 0.012 0.012 0.010 0.010
## 243 -0.007 -0.007 -0.009 -0.009
## 121 0.011 0.011 0.008 0.008
## 220 0.006 0.006 0.009 0.009
## 400 -0.005 -0.005 -0.010 -0.010
## 252 -0.005 -0.005 -0.008 -0.008
## 183 -0.007 -0.007 -0.007 -0.007
## 260 0.004 0.004 0.007 0.007
## 244 0.006 0.006 0.007 0.007
## 397 0.005 0.005 0.007 0.007
## 231 -0.003 -0.003 -0.007 -0.007
## 281 0.004 0.004 0.006 0.006
## 205 0.004 0.004 0.005 0.005
## 208 -0.002 -0.002 -0.004 -0.004
## 258 0.002 0.002 0.003 0.003
## 264 -0.002 -0.002 -0.003 -0.003
## 225 0.002 0.002 0.002 0.002
## 187 -0.001 -0.001 -0.002 -0.002
## 428 -0.001 -0.001 -0.001 -0.001
## 338 0.001 0.001 0.001 0.001
## 341 0.000 0.000 0.001 0.001
## 259 0.000 0.000 0.000 0.000
## 410 0.000 0.000 0.000 0.000
## 426 0.000 0.000 0.000 0.000#look at the variances above 1 to see if anything is particularly off.
var(B3likert$B3_PE4_IncPubChances)## [1] 1.428938var(B3likert$B3_EE4_TooMuchTime)## [1] 2.074999var(B3likert$B3_SI5_Field)## [1] 1.928031B3modelfc3 <- #basic model
'PE =~ B3_PE1_Useful + B3_PE2_WriteFaster + B3_PE3_IncProductivity + B3_PE4_IncPubChances + B3_PE5_PosPR + B3_PE6_EasierWrite + B3_PE7_ImproveQuality + B3_PE8_MoreEfficient + B3_PE9_IncQualSameEffort
EE=~ B3_EE1_EasyToUse + B3_EE2_ClearUnderstandable + B3_EE3_BecomeSkillful + B3_EE4_TooMuchTime + B3_EE5_TooComplicated + B3_EE6_TooLongToLearn
SI=~ B3_SI1_Peers + B3_SI2_ResClimate + B3_SI3_Superiors + B3_SI4_Journals + B3_SI5_Field
FC=~ B3_FC1_Knowledge + B3_FC2_WorkflowCompatibility + B3_FC4_FitsWellWithWork
B3_BehIntUse ~ PE + EE + SI + FC
'
#fit the model
fitB3fc3 <- cfa(model = B3modelfc3, data = B3likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB3fc3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 30 iterations
##
## Optimization method NLMINB
## Number of free parameters 81
##
## Number of observations 635
##
## Estimator ML Robust
## Model Fit Test Statistic 1957.696 1483.440
## Degrees of freedom 243 243
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.320
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 10275.167 6593.919
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.829 0.804
## Tucker-Lewis Index (TLI) 0.805 0.777
##
## Robust Comparative Fit Index (CFI) 0.834
## Robust Tucker-Lewis Index (TLI) 0.811
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -20722.453 -20722.453
## Loglikelihood unrestricted model (H1) -19743.605 -19743.605
##
## Number of free parameters 81 81
## Akaike (AIC) 41606.906 41606.906
## Bayesian (BIC) 41967.650 41967.650
## Sample-size adjusted Bayesian (BIC) 41710.482 41710.482
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.105 0.090
## 90 Percent Confidence Interval 0.101 0.110 0.086 0.094
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.103
## 90 Percent Confidence Interval 0.098 0.108
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.078 0.078
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B3_PE1_Useful 0.790 0.058 13.596 0.000 0.790 0.669
## B3_PE2_WrtFstr 1.177 0.041 28.525 0.000 1.177 0.813
## B3_PE3_IncPrdc 1.037 0.044 23.620 0.000 1.037 0.772
## B3_PE4_IncPbCh 0.644 0.054 11.885 0.000 0.644 0.539
## B3_PE5_PosPR 0.689 0.052 13.197 0.000 0.689 0.578
## B3_PE6_EasrWrt 1.130 0.044 25.918 0.000 1.130 0.858
## B3_PE7_ImprvQl 0.916 0.055 16.538 0.000 0.916 0.774
## B3_PE8_MrEffcn 1.144 0.044 26.178 0.000 1.144 0.867
## B3_PE9_IncQlSE 1.066 0.046 22.966 0.000 1.066 0.803
## EE =~
## B3_EE1_EasyTUs 1.014 0.049 20.579 0.000 1.014 0.817
## B3_EE2_ClrUndr 0.846 0.048 17.741 0.000 0.846 0.798
## B3_EE3_BcmSkll 0.710 0.050 14.194 0.000 0.710 0.658
## B3_EE4_ToMchTm 1.033 0.044 23.257 0.000 1.033 0.718
## B3_EE5_TCmplct 0.978 0.043 22.625 0.000 0.978 0.802
## B3_EE6_TLngTLr 1.003 0.045 22.071 0.000 1.003 0.760
## SI =~
## B3_SI1_Peers 1.124 0.044 25.386 0.000 1.124 0.869
## B3_SI2_ResClmt 0.814 0.053 15.273 0.000 0.814 0.641
## B3_SI3_Superrs 1.167 0.050 23.522 0.000 1.167 0.831
## B3_SI4_Journls 0.493 0.051 9.620 0.000 0.493 0.474
## B3_SI5_Field 0.764 0.059 12.861 0.000 0.764 0.551
## FC =~
## B3_FC1_Knowldg 0.532 0.047 11.391 0.000 0.532 0.578
## B3_FC2_WrkflwC 0.937 0.049 18.983 0.000 0.937 0.822
## B3_FC4_FtsWlWW 1.039 0.043 24.042 0.000 1.039 0.834
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B3_BehIntUse ~
## PE 0.443 0.088 5.043 0.000 0.443 0.337
## EE 0.006 0.119 0.050 0.960 0.006 0.005
## SI 0.263 0.059 4.484 0.000 0.263 0.200
## FC 0.422 0.171 2.468 0.014 0.422 0.321
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EE 0.510 0.039 13.046 0.000 0.510 0.510
## SI 0.510 0.037 13.628 0.000 0.510 0.510
## FC 0.688 0.039 17.803 0.000 0.688 0.688
## EE ~~
## SI 0.332 0.045 7.349 0.000 0.332 0.332
## FC 0.826 0.029 28.701 0.000 0.826 0.826
## SI ~~
## FC 0.497 0.040 12.357 0.000 0.497 0.497
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 5.636 0.047 120.173 0.000 5.636 4.769
## .B3_PE2_WrtFstr 4.430 0.057 77.086 0.000 4.430 3.059
## .B3_PE3_IncPrdc 4.113 0.053 77.163 0.000 4.113 3.062
## .B3_PE4_IncPbCh 5.302 0.047 111.864 0.000 5.302 4.439
## .B3_PE5_PosPR 5.117 0.047 108.097 0.000 5.117 4.290
## .B3_PE6_EasrWrt 4.806 0.052 91.972 0.000 4.806 3.650
## .B3_PE7_ImprvQl 5.576 0.047 118.758 0.000 5.576 4.713
## .B3_PE8_MrEffcn 4.789 0.052 91.452 0.000 4.789 3.629
## .B3_PE9_IncQlSE 4.631 0.053 87.888 0.000 4.631 3.488
## .B3_EE1_EasyTUs 5.213 0.049 105.826 0.000 5.213 4.200
## .B3_EE2_ClrUndr 5.504 0.042 130.913 0.000 5.504 5.195
## .B3_EE3_BcmSkll 5.351 0.043 124.855 0.000 5.351 4.955
## .B3_EE4_ToMchTm 4.699 0.057 82.271 0.000 4.699 3.265
## .B3_EE5_TCmplct 5.506 0.048 113.741 0.000 5.506 4.514
## .B3_EE6_TLngTLr 5.394 0.052 102.914 0.000 5.394 4.084
## .B3_SI1_Peers 4.613 0.051 89.849 0.000 4.613 3.566
## .B3_SI2_ResClmt 5.112 0.050 101.385 0.000 5.112 4.023
## .B3_SI3_Superrs 4.452 0.056 79.855 0.000 4.452 3.169
## .B3_SI4_Journls 5.625 0.041 136.300 0.000 5.625 5.409
## .B3_SI5_Field 4.476 0.055 81.287 0.000 4.476 3.226
## .B3_FC1_Knowldg 5.890 0.037 161.200 0.000 5.890 6.397
## .B3_FC2_WrkflwC 5.469 0.045 120.830 0.000 5.469 4.795
## .B3_FC4_FtsWlWW 5.164 0.049 104.479 0.000 5.164 4.146
## .B3_BehIntUse 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 0.772 0.080 9.660 0.000 0.772 0.553
## .B3_PE2_WrtFstr 0.712 0.051 13.946 0.000 0.712 0.340
## .B3_PE3_IncPrdc 0.730 0.056 12.928 0.000 0.730 0.405
## .B3_PE4_IncPbCh 1.012 0.078 13.021 0.000 1.012 0.709
## .B3_PE5_PosPR 0.948 0.068 13.839 0.000 0.948 0.666
## .B3_PE6_EasrWrt 0.456 0.035 12.889 0.000 0.456 0.263
## .B3_PE7_ImprvQl 0.561 0.039 14.422 0.000 0.561 0.401
## .B3_PE8_MrEffcn 0.434 0.035 12.341 0.000 0.434 0.249
## .B3_PE9_IncQlSE 0.627 0.054 11.613 0.000 0.627 0.355
## .B3_EE1_EasyTUs 0.513 0.044 11.611 0.000 0.513 0.333
## .B3_EE2_ClrUndr 0.407 0.036 11.273 0.000 0.407 0.363
## .B3_EE3_BcmSkll 0.662 0.048 13.856 0.000 0.662 0.567
## .B3_EE4_ToMchTm 1.004 0.067 15.065 0.000 1.004 0.485
## .B3_EE5_TCmplct 0.531 0.061 8.767 0.000 0.531 0.357
## .B3_EE6_TLngTLr 0.737 0.069 10.651 0.000 0.737 0.423
## .B3_SI1_Peers 0.410 0.046 8.881 0.000 0.410 0.245
## .B3_SI2_ResClmt 0.952 0.078 12.192 0.000 0.952 0.590
## .B3_SI3_Superrs 0.612 0.079 7.740 0.000 0.612 0.310
## .B3_SI4_Journls 0.839 0.072 11.706 0.000 0.839 0.776
## .B3_SI5_Field 1.341 0.097 13.888 0.000 1.341 0.696
## .B3_FC1_Knowldg 0.564 0.046 12.276 0.000 0.564 0.666
## .B3_FC2_WrkflwC 0.423 0.065 6.531 0.000 0.423 0.325
## .B3_FC4_FtsWlWW 0.471 0.046 10.153 0.000 0.471 0.304
## .B3_BehIntUse 0.790 0.060 13.118 0.000 0.790 0.457
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B3_PE1_Useful 0.447
## B3_PE2_WrtFstr 0.660
## B3_PE3_IncPrdc 0.595
## B3_PE4_IncPbCh 0.291
## B3_PE5_PosPR 0.334
## B3_PE6_EasrWrt 0.737
## B3_PE7_ImprvQl 0.599
## B3_PE8_MrEffcn 0.751
## B3_PE9_IncQlSE 0.645
## B3_EE1_EasyTUs 0.667
## B3_EE2_ClrUndr 0.637
## B3_EE3_BcmSkll 0.433
## B3_EE4_ToMchTm 0.515
## B3_EE5_TCmplct 0.643
## B3_EE6_TLngTLr 0.577
## B3_SI1_Peers 0.755
## B3_SI2_ResClmt 0.410
## B3_SI3_Superrs 0.690
## B3_SI4_Journls 0.224
## B3_SI5_Field 0.304
## B3_FC1_Knowldg 0.334
## B3_FC2_WrkflwC 0.675
## B3_FC4_FtsWlWW 0.696
## B3_BehIntUse 0.543B3modelmodind2 <-
'PE =~ B3_PE1_Useful + B3_PE2_WriteFaster + B3_PE3_IncProductivity + B3_PE4_IncPubChances + B3_PE5_PosPR + B3_PE6_EasierWrite + B3_PE7_ImproveQuality + B3_PE8_MoreEfficient + B3_PE9_IncQualSameEffort
EE=~ B3_EE1_EasyToUse + B3_EE2_ClearUnderstandable + B3_EE3_BecomeSkillful + B3_EE4_TooMuchTime + B3_EE5_TooComplicated + B3_EE6_TooLongToLearn
SI=~ B3_SI1_Peers + B3_SI2_ResClimate + B3_SI3_Superiors + B3_SI4_Journals + B3_SI5_Field
FC=~ B3_FC1_Knowledge + B3_FC2_WorkflowCompatibility + B3_FC3_EasyToUse + B3_FC4_FitsWellWithWork
B3_BehIntUse ~ PE + EE + SI + FC
B3_EE5_TooComplicated ~~ B3_EE6_TooLongToLearn
B3_EE5_TooComplicated ~~ B3_EE4_TooMuchTime
B3_EE4_TooMuchTime ~~ B3_EE6_TooLongToLearn
B3_PE4_IncPubChances ~~ B3_PE5_PosPR '
#fit the model
fitB3.2 <- cfa(model = B3modelmodind2, data = B3likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB3.2, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 42 iterations
##
## Optimization method NLMINB
## Number of free parameters 88
##
## Number of observations 635
##
## Estimator ML Robust
## Model Fit Test Statistic 1323.221 1024.272
## Degrees of freedom 262 262
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.292
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 11030.845 7075.700
## Degrees of freedom 300 300
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.901 0.887
## Tucker-Lewis Index (TLI) 0.887 0.871
##
## Robust Comparative Fit Index (CFI) 0.907
## Robust Tucker-Lewis Index (TLI) 0.893
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -21002.698 -21002.698
## Loglikelihood unrestricted model (H1) -20341.088 -20341.088
##
## Number of free parameters 88 88
## Akaike (AIC) 42181.396 42181.396
## Bayesian (BIC) 42573.315 42573.315
## Sample-size adjusted Bayesian (BIC) 42293.923 42293.923
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.080 0.068
## 90 Percent Confidence Interval 0.076 0.084 0.064 0.072
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.077
## 90 Percent Confidence Interval 0.072 0.082
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.070 0.070
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B3_PE1_Useful 0.785 0.058 13.430 0.000 0.785 0.664
## B3_PE2_WrtFstr 1.185 0.041 28.935 0.000 1.185 0.818
## B3_PE3_IncPrdc 1.040 0.044 23.651 0.000 1.040 0.775
## B3_PE4_IncPbCh 0.611 0.055 11.092 0.000 0.611 0.512
## B3_PE5_PosPR 0.660 0.053 12.378 0.000 0.660 0.554
## B3_PE6_EasrWrt 1.138 0.044 26.135 0.000 1.138 0.864
## B3_PE7_ImprvQl 0.908 0.055 16.369 0.000 0.908 0.767
## B3_PE8_MrEffcn 1.148 0.044 26.350 0.000 1.148 0.870
## B3_PE9_IncQlSE 1.067 0.047 22.927 0.000 1.067 0.804
## EE =~
## B3_EE1_EasyTUs 1.100 0.046 24.040 0.000 1.100 0.887
## B3_EE2_ClrUndr 0.914 0.047 19.629 0.000 0.914 0.862
## B3_EE3_BcmSkll 0.748 0.049 15.150 0.000 0.748 0.693
## B3_EE4_ToMchTm 0.872 0.051 17.092 0.000 0.872 0.606
## B3_EE5_TCmplct 0.826 0.053 15.550 0.000 0.826 0.677
## B3_EE6_TLngTLr 0.803 0.055 14.601 0.000 0.803 0.608
## SI =~
## B3_SI1_Peers 1.125 0.044 25.368 0.000 1.125 0.870
## B3_SI2_ResClmt 0.812 0.053 15.215 0.000 0.812 0.639
## B3_SI3_Superrs 1.168 0.050 23.524 0.000 1.168 0.831
## B3_SI4_Journls 0.492 0.051 9.613 0.000 0.492 0.473
## B3_SI5_Field 0.762 0.059 12.815 0.000 0.762 0.549
## FC =~
## B3_FC1_Knowldg 0.521 0.047 11.061 0.000 0.521 0.566
## B3_FC2_WrkflwC 0.895 0.049 18.088 0.000 0.895 0.785
## B3_FC3_EasyTUs 0.950 0.044 21.421 0.000 0.950 0.845
## B3_FC4_FtsWlWW 1.020 0.043 23.960 0.000 1.020 0.819
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B3_BehIntUse ~
## PE 0.479 0.077 6.234 0.000 0.479 0.364
## EE -0.320 0.174 -1.834 0.067 -0.320 -0.243
## SI 0.263 0.060 4.402 0.000 0.263 0.200
## FC 0.666 0.207 3.222 0.001 0.666 0.507
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B3_EE5_TooComplicated ~~
## .B3_EE6_TLngTLr 0.650 0.103 6.323 0.000 0.650
## .B3_EE4_TooMuchTime ~~
## .B3_EE5_TCmplct 0.432 0.088 4.904 0.000 0.432
## .B3_EE6_TLngTLr 0.573 0.093 6.142 0.000 0.573
## .B3_PE4_IncPubChances ~~
## .B3_PE5_PosPR 0.638 0.069 9.307 0.000 0.638
## PE ~~
## EE 0.549 0.038 14.584 0.000 0.549
## SI 0.497 0.038 12.939 0.000 0.497
## FC 0.648 0.033 19.398 0.000 0.648
## EE ~~
## SI 0.355 0.045 7.891 0.000 0.355
## FC 0.904 0.017 51.667 0.000 0.904
## SI ~~
## FC 0.469 0.040 11.819 0.000 0.469
## Std.all
##
## 0.690
##
## 0.420
## 0.477
##
## 0.626
##
## 0.549
## 0.497
## 0.648
##
## 0.355
## 0.904
##
## 0.469
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 5.636 0.047 120.173 0.000 5.636 4.769
## .B3_PE2_WrtFstr 4.430 0.057 77.086 0.000 4.430 3.059
## .B3_PE3_IncPrdc 4.113 0.053 77.163 0.000 4.113 3.062
## .B3_PE4_IncPbCh 5.302 0.047 111.864 0.000 5.302 4.439
## .B3_PE5_PosPR 5.117 0.047 108.097 0.000 5.117 4.290
## .B3_PE6_EasrWrt 4.806 0.052 91.972 0.000 4.806 3.650
## .B3_PE7_ImprvQl 5.576 0.047 118.758 0.000 5.576 4.713
## .B3_PE8_MrEffcn 4.789 0.052 91.452 0.000 4.789 3.629
## .B3_PE9_IncQlSE 4.631 0.053 87.888 0.000 4.631 3.488
## .B3_EE1_EasyTUs 5.213 0.049 105.826 0.000 5.213 4.200
## .B3_EE2_ClrUndr 5.504 0.042 130.913 0.000 5.504 5.195
## .B3_EE3_BcmSkll 5.351 0.043 124.855 0.000 5.351 4.955
## .B3_EE4_ToMchTm 4.699 0.057 82.271 0.000 4.699 3.265
## .B3_EE5_TCmplct 5.506 0.048 113.741 0.000 5.506 4.514
## .B3_EE6_TLngTLr 5.394 0.052 102.914 0.000 5.394 4.084
## .B3_SI1_Peers 4.613 0.051 89.849 0.000 4.613 3.566
## .B3_SI2_ResClmt 5.112 0.050 101.385 0.000 5.112 4.023
## .B3_SI3_Superrs 4.452 0.056 79.855 0.000 4.452 3.169
## .B3_SI4_Journls 5.625 0.041 136.300 0.000 5.625 5.409
## .B3_SI5_Field 4.476 0.055 81.287 0.000 4.476 3.226
## .B3_FC1_Knowldg 5.890 0.037 161.200 0.000 5.890 6.397
## .B3_FC2_WrkflwC 5.469 0.045 120.830 0.000 5.469 4.795
## .B3_FC3_EasyTUs 5.361 0.045 120.168 0.000 5.361 4.769
## .B3_FC4_FtsWlWW 5.164 0.049 104.479 0.000 5.164 4.146
## .B3_BehIntUse 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 0.780 0.080 9.733 0.000 0.780 0.559
## .B3_PE2_WrtFstr 0.693 0.051 13.648 0.000 0.693 0.330
## .B3_PE3_IncPrdc 0.722 0.057 12.709 0.000 0.722 0.400
## .B3_PE4_IncPbCh 1.053 0.080 13.079 0.000 1.053 0.738
## .B3_PE5_PosPR 0.987 0.071 13.921 0.000 0.987 0.693
## .B3_PE6_EasrWrt 0.440 0.035 12.565 0.000 0.440 0.254
## .B3_PE7_ImprvQl 0.575 0.040 14.530 0.000 0.575 0.411
## .B3_PE8_MrEffcn 0.424 0.035 12.186 0.000 0.424 0.243
## .B3_PE9_IncQlSE 0.624 0.054 11.524 0.000 0.624 0.354
## .B3_EE1_EasyTUs 0.330 0.036 9.085 0.000 0.330 0.214
## .B3_EE2_ClrUndr 0.288 0.031 9.423 0.000 0.288 0.256
## .B3_EE3_BcmSkll 0.606 0.049 12.418 0.000 0.606 0.520
## .B3_EE4_ToMchTm 1.311 0.094 13.982 0.000 1.311 0.633
## .B3_EE5_TCmplct 0.806 0.102 7.896 0.000 0.806 0.542
## .B3_EE6_TLngTLr 1.100 0.112 9.860 0.000 1.100 0.631
## .B3_SI1_Peers 0.407 0.046 8.773 0.000 0.407 0.243
## .B3_SI2_ResClmt 0.955 0.078 12.187 0.000 0.955 0.591
## .B3_SI3_Superrs 0.609 0.079 7.699 0.000 0.609 0.309
## .B3_SI4_Journls 0.840 0.072 11.705 0.000 0.840 0.777
## .B3_SI5_Field 1.344 0.097 13.920 0.000 1.344 0.698
## .B3_FC1_Knowldg 0.576 0.047 12.366 0.000 0.576 0.679
## .B3_FC2_WrkflwC 0.500 0.066 7.624 0.000 0.500 0.384
## .B3_FC3_EasyTUs 0.361 0.047 7.661 0.000 0.361 0.285
## .B3_FC4_FtsWlWW 0.510 0.050 10.263 0.000 0.510 0.329
## .B3_BehIntUse 0.794 0.063 12.686 0.000 0.794 0.459
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B3_PE1_Useful 0.441
## B3_PE2_WrtFstr 0.670
## B3_PE3_IncPrdc 0.600
## B3_PE4_IncPbCh 0.262
## B3_PE5_PosPR 0.307
## B3_PE6_EasrWrt 0.746
## B3_PE7_ImprvQl 0.589
## B3_PE8_MrEffcn 0.757
## B3_PE9_IncQlSE 0.646
## B3_EE1_EasyTUs 0.786
## B3_EE2_ClrUndr 0.744
## B3_EE3_BcmSkll 0.480
## B3_EE4_ToMchTm 0.367
## B3_EE5_TCmplct 0.458
## B3_EE6_TLngTLr 0.369
## B3_SI1_Peers 0.757
## B3_SI2_ResClmt 0.409
## B3_SI3_Superrs 0.691
## B3_SI4_Journls 0.223
## B3_SI5_Field 0.302
## B3_FC1_Knowldg 0.321
## B3_FC2_WrkflwC 0.616
## B3_FC3_EasyTUs 0.715
## B3_FC4_FtsWlWW 0.671
## B3_BehIntUse 0.541#compare new and old models
anova(fitB3, fitB3.2)## Scaled Chi Square Difference Test (method = "satorra.bentler.2001")
##
## Df AIC BIC Chisq Chisq diff Df diff Pr(>Chisq)
## fitB3.2 262 42181 42573 1323.2
## fitB3 266 42960 43334 2109.6 195.49 4 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1B3modelmodind2dropfc3 <-
'PE =~ B3_PE1_Useful + B3_PE2_WriteFaster + B3_PE3_IncProductivity + B3_PE4_IncPubChances + B3_PE5_PosPR + B3_PE6_EasierWrite + B3_PE7_ImproveQuality + B3_PE8_MoreEfficient + B3_PE9_IncQualSameEffort
EE=~ B3_EE1_EasyToUse + B3_EE2_ClearUnderstandable + B3_EE3_BecomeSkillful + B3_EE4_TooMuchTime + B3_EE5_TooComplicated + B3_EE6_TooLongToLearn
SI=~ B3_SI1_Peers + B3_SI2_ResClimate + B3_SI3_Superiors + B3_SI4_Journals + B3_SI5_Field
FC=~ B3_FC1_Knowledge + B3_FC2_WorkflowCompatibility + B3_FC4_FitsWellWithWork
B3_BehIntUse ~ PE + EE + SI + FC
B3_EE5_TooComplicated ~~ B3_EE6_TooLongToLearn
B3_EE5_TooComplicated ~~ B3_EE4_TooMuchTime
B3_EE4_TooMuchTime ~~ B3_EE6_TooLongToLearn
B3_PE4_IncPubChances ~~ B3_PE5_PosPR
'
#fit the model
fitB3.2dropfc3 <- cfa(model = B3modelmodind2dropfc3, data = B3likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB3.2dropfc3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 40 iterations
##
## Optimization method NLMINB
## Number of free parameters 85
##
## Number of observations 635
##
## Estimator ML Robust
## Model Fit Test Statistic 1181.456 927.172
## Degrees of freedom 239 239
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.274
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 10275.167 6593.919
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.906 0.891
## Tucker-Lewis Index (TLI) 0.891 0.874
##
## Robust Comparative Fit Index (CFI) 0.911
## Robust Tucker-Lewis Index (TLI) 0.897
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -20334.333 -20334.333
## Loglikelihood unrestricted model (H1) -19743.605 -19743.605
##
## Number of free parameters 85 85
## Akaike (AIC) 40838.666 40838.666
## Bayesian (BIC) 41217.224 41217.224
## Sample-size adjusted Bayesian (BIC) 40947.357 40947.357
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.079 0.067
## 90 Percent Confidence Interval 0.074 0.083 0.063 0.071
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.076
## 90 Percent Confidence Interval 0.071 0.081
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.070 0.070
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B3_PE1_Useful 0.786 0.058 13.451 0.000 0.786 0.665
## B3_PE2_WrtFstr 1.185 0.041 28.953 0.000 1.185 0.818
## B3_PE3_IncPrdc 1.040 0.044 23.652 0.000 1.040 0.775
## B3_PE4_IncPbCh 0.611 0.055 11.102 0.000 0.611 0.511
## B3_PE5_PosPR 0.659 0.053 12.383 0.000 0.659 0.553
## B3_PE6_EasrWrt 1.138 0.043 26.154 0.000 1.138 0.864
## B3_PE7_ImprvQl 0.908 0.056 16.339 0.000 0.908 0.767
## B3_PE8_MrEffcn 1.148 0.044 26.362 0.000 1.148 0.870
## B3_PE9_IncQlSE 1.067 0.047 22.917 0.000 1.067 0.804
## EE =~
## B3_EE1_EasyTUs 1.101 0.046 23.850 0.000 1.101 0.887
## B3_EE2_ClrUndr 0.917 0.046 19.731 0.000 0.917 0.866
## B3_EE3_BcmSkll 0.749 0.050 15.004 0.000 0.749 0.693
## B3_EE4_ToMchTm 0.870 0.051 16.923 0.000 0.870 0.604
## B3_EE5_TCmplct 0.818 0.054 15.278 0.000 0.818 0.671
## B3_EE6_TLngTLr 0.790 0.055 14.236 0.000 0.790 0.598
## SI =~
## B3_SI1_Peers 1.125 0.044 25.406 0.000 1.125 0.870
## B3_SI2_ResClmt 0.812 0.053 15.228 0.000 0.812 0.639
## B3_SI3_Superrs 1.168 0.050 23.504 0.000 1.168 0.831
## B3_SI4_Journls 0.492 0.051 9.605 0.000 0.492 0.473
## B3_SI5_Field 0.762 0.060 12.803 0.000 0.762 0.549
## FC =~
## B3_FC1_Knowldg 0.522 0.047 11.190 0.000 0.522 0.567
## B3_FC2_WrkflwC 0.932 0.050 18.748 0.000 0.932 0.817
## B3_FC4_FtsWlWW 1.050 0.043 24.254 0.000 1.050 0.843
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B3_BehIntUse ~
## PE 0.428 0.091 4.729 0.000 0.428 0.326
## EE -0.158 0.122 -1.297 0.194 -0.158 -0.120
## SI 0.262 0.059 4.443 0.000 0.262 0.199
## FC 0.569 0.169 3.362 0.001 0.569 0.433
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B3_EE5_TooComplicated ~~
## .B3_EE6_TLngTLr 0.667 0.103 6.475 0.000 0.667
## .B3_EE4_TooMuchTime ~~
## .B3_EE5_TCmplct 0.441 0.089 4.978 0.000 0.441
## .B3_EE6_TLngTLr 0.586 0.094 6.266 0.000 0.586
## .B3_PE4_IncPubChances ~~
## .B3_PE5_PosPR 0.639 0.069 9.330 0.000 0.639
## PE ~~
## EE 0.549 0.038 14.585 0.000 0.549
## SI 0.497 0.038 12.937 0.000 0.497
## FC 0.693 0.038 18.147 0.000 0.693
## EE ~~
## SI 0.355 0.045 7.882 0.000 0.355
## FC 0.822 0.030 27.600 0.000 0.822
## SI ~~
## FC 0.495 0.040 12.283 0.000 0.495
## Std.all
##
## 0.696
##
## 0.425
## 0.483
##
## 0.627
##
## 0.549
## 0.497
## 0.693
##
## 0.355
## 0.822
##
## 0.495
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 5.636 0.047 120.173 0.000 5.636 4.769
## .B3_PE2_WrtFstr 4.430 0.057 77.086 0.000 4.430 3.059
## .B3_PE3_IncPrdc 4.113 0.053 77.163 0.000 4.113 3.062
## .B3_PE4_IncPbCh 5.302 0.047 111.864 0.000 5.302 4.439
## .B3_PE5_PosPR 5.117 0.047 108.097 0.000 5.117 4.290
## .B3_PE6_EasrWrt 4.806 0.052 91.972 0.000 4.806 3.650
## .B3_PE7_ImprvQl 5.576 0.047 118.758 0.000 5.576 4.713
## .B3_PE8_MrEffcn 4.789 0.052 91.452 0.000 4.789 3.629
## .B3_PE9_IncQlSE 4.631 0.053 87.888 0.000 4.631 3.488
## .B3_EE1_EasyTUs 5.213 0.049 105.826 0.000 5.213 4.200
## .B3_EE2_ClrUndr 5.504 0.042 130.913 0.000 5.504 5.195
## .B3_EE3_BcmSkll 5.351 0.043 124.855 0.000 5.351 4.955
## .B3_EE4_ToMchTm 4.699 0.057 82.271 0.000 4.699 3.265
## .B3_EE5_TCmplct 5.506 0.048 113.741 0.000 5.506 4.514
## .B3_EE6_TLngTLr 5.394 0.052 102.914 0.000 5.394 4.084
## .B3_SI1_Peers 4.613 0.051 89.849 0.000 4.613 3.566
## .B3_SI2_ResClmt 5.112 0.050 101.385 0.000 5.112 4.023
## .B3_SI3_Superrs 4.452 0.056 79.855 0.000 4.452 3.169
## .B3_SI4_Journls 5.625 0.041 136.300 0.000 5.625 5.409
## .B3_SI5_Field 4.476 0.055 81.287 0.000 4.476 3.226
## .B3_FC1_Knowldg 5.890 0.037 161.200 0.000 5.890 6.397
## .B3_FC2_WrkflwC 5.469 0.045 120.830 0.000 5.469 4.795
## .B3_FC4_FtsWlWW 5.164 0.049 104.479 0.000 5.164 4.146
## .B3_BehIntUse 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 0.779 0.080 9.707 0.000 0.779 0.558
## .B3_PE2_WrtFstr 0.692 0.051 13.706 0.000 0.692 0.330
## .B3_PE3_IncPrdc 0.722 0.057 12.726 0.000 0.722 0.400
## .B3_PE4_IncPbCh 1.054 0.080 13.108 0.000 1.054 0.739
## .B3_PE5_PosPR 0.988 0.071 13.939 0.000 0.988 0.694
## .B3_PE6_EasrWrt 0.440 0.035 12.618 0.000 0.440 0.254
## .B3_PE7_ImprvQl 0.576 0.040 14.492 0.000 0.576 0.412
## .B3_PE8_MrEffcn 0.423 0.035 12.193 0.000 0.423 0.243
## .B3_PE9_IncQlSE 0.625 0.054 11.510 0.000 0.625 0.354
## .B3_EE1_EasyTUs 0.329 0.038 8.603 0.000 0.329 0.214
## .B3_EE2_ClrUndr 0.281 0.032 8.854 0.000 0.281 0.251
## .B3_EE3_BcmSkll 0.606 0.049 12.321 0.000 0.606 0.519
## .B3_EE4_ToMchTm 1.315 0.094 13.968 0.000 1.315 0.635
## .B3_EE5_TCmplct 0.819 0.102 7.990 0.000 0.819 0.550
## .B3_EE6_TLngTLr 1.121 0.112 10.039 0.000 1.121 0.643
## .B3_SI1_Peers 0.407 0.046 8.784 0.000 0.407 0.243
## .B3_SI2_ResClmt 0.954 0.078 12.188 0.000 0.954 0.591
## .B3_SI3_Superrs 0.610 0.079 7.683 0.000 0.610 0.309
## .B3_SI4_Journls 0.840 0.072 11.707 0.000 0.840 0.776
## .B3_SI5_Field 1.344 0.097 13.916 0.000 1.344 0.698
## .B3_FC1_Knowldg 0.575 0.047 12.353 0.000 0.575 0.679
## .B3_FC2_WrkflwC 0.433 0.064 6.720 0.000 0.433 0.333
## .B3_FC4_FtsWlWW 0.449 0.047 9.571 0.000 0.449 0.290
## .B3_BehIntUse 0.783 0.063 12.430 0.000 0.783 0.453
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B3_PE1_Useful 0.442
## B3_PE2_WrtFstr 0.670
## B3_PE3_IncPrdc 0.600
## B3_PE4_IncPbCh 0.261
## B3_PE5_PosPR 0.306
## B3_PE6_EasrWrt 0.746
## B3_PE7_ImprvQl 0.588
## B3_PE8_MrEffcn 0.757
## B3_PE9_IncQlSE 0.646
## B3_EE1_EasyTUs 0.786
## B3_EE2_ClrUndr 0.749
## B3_EE3_BcmSkll 0.481
## B3_EE4_ToMchTm 0.365
## B3_EE5_TCmplct 0.450
## B3_EE6_TLngTLr 0.357
## B3_SI1_Peers 0.757
## B3_SI2_ResClmt 0.409
## B3_SI3_Superrs 0.691
## B3_SI4_Journls 0.224
## B3_SI5_Field 0.302
## B3_FC1_Knowldg 0.321
## B3_FC2_WrkflwC 0.667
## B3_FC4_FtsWlWW 0.710
## B3_BehIntUse 0.547#compare new and old models
anova(fitB3, fitB3.2dropfc3)## Warning in lavTestLRT(object = <S4 object of class structure("lavaan",
## package = "lavaan")>, : lavaan WARNING: some models are based on a
## different set of observed variables## Scaled Chi Square Difference Test (method = "satorra.bentler.2001")
##
## Df AIC BIC Chisq Chisq diff Df diff Pr(>Chisq)
## fitB3.2dropfc3 239 40839 41217 1181.5
## fitB3 266 42960 43334 2109.6 501.09 27 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1#look at modification indices
modificationindices(fitB3.2dropfc3, sort = TRUE)## lhs op rhs mi
## 400 B3_SI1_Peers ~~ B3_SI3_Superiors 131.660
## 186 B3_PE2_WriteFaster ~~ B3_PE3_IncProductivity 77.808
## 168 B3_PE1_Useful ~~ B3_PE7_ImproveQuality 73.712
## 190 B3_PE2_WriteFaster ~~ B3_PE7_ImproveQuality 68.186
## 408 B3_SI2_ResClimate ~~ B3_SI4_Journals 51.157
## 143 FC =~ B3_PE1_Useful 48.357
## 429 B3_FC1_Knowledge ~~ B3_FC2_WorkflowCompatibility 46.483
## 107 PE =~ B3_FC4_FitsWellWithWork 42.930
## 105 PE =~ B3_FC1_Knowledge 32.348
## 420 B3_SI4_Journals ~~ B3_SI5_Field 31.606
## 120 EE =~ B3_SI4_Journals 28.157
## 161 FC =~ B3_SI4_Journals 27.264
## 125 SI =~ B3_PE1_Useful 27.023
## 301 B3_PE7_ImproveQuality ~~ B3_BehIntUse 26.412
## 108 EE =~ B3_PE1_Useful 24.256
## 401 B3_SI1_Peers ~~ B3_SI4_Journals 24.001
## 176 B3_PE1_Useful ~~ B3_EE6_TooLongToLearn 23.206
## 414 B3_SI3_Superiors ~~ B3_SI4_Journals 22.749
## 169 B3_PE1_Useful ~~ B3_PE8_MoreEfficient 21.542
## 211 B3_PE3_IncProductivity ~~ B3_PE7_ImproveQuality 20.364
## 430 B3_FC1_Knowledge ~~ B3_FC4_FitsWellWithWork 19.404
## 159 FC =~ B3_SI2_ResClimate 18.759
## 115 EE =~ B3_PE8_MoreEfficient 18.472
## 128 SI =~ B3_PE4_IncPubChances 18.413
## 97 PE =~ B3_EE4_TooMuchTime 18.273
## 415 B3_SI3_Superiors ~~ B3_SI5_Field 17.105
## 130 SI =~ B3_PE6_EasierWrite 16.817
## 157 FC =~ B3_EE6_TooLongToLearn 15.781
## 407 B3_SI2_ResClimate ~~ B3_SI3_Superiors 15.307
## 380 B3_EE4_TooMuchTime ~~ B3_BehIntUse 14.785
## 185 B3_PE1_Useful ~~ B3_BehIntUse 14.656
## 100 PE =~ B3_SI1_Peers 14.256
## 317 B3_PE8_MoreEfficient ~~ B3_BehIntUse 14.238
## 268 B3_PE6_EasierWrite ~~ B3_PE8_MoreEfficient 14.230
## 368 B3_EE3_BecomeSkillful ~~ B3_FC1_Knowledge 13.925
## 349 B3_EE2_ClearUnderstandable ~~ B3_EE5_TooComplicated 13.734
## 230 B3_PE4_IncPubChances ~~ B3_PE7_ImproveQuality 12.686
## 98 PE =~ B3_EE5_TooComplicated 12.627
## 167 B3_PE1_Useful ~~ B3_PE6_EasierWrite 12.502
## 150 FC =~ B3_PE8_MoreEfficient 12.275
## 158 FC =~ B3_SI1_Peers 11.905
## 131 SI =~ B3_PE7_ImproveQuality 11.690
## 153 FC =~ B3_EE2_ClearUnderstandable 11.591
## 118 EE =~ B3_SI2_ResClimate 11.300
## 333 B3_EE1_EasyToUse ~~ B3_EE2_ClearUnderstandable 10.790
## 328 B3_PE9_IncQualSameEffort ~~ B3_SI5_Field 10.780
## 178 B3_PE1_Useful ~~ B3_SI2_ResClimate 10.603
## 377 B3_EE4_TooMuchTime ~~ B3_FC1_Knowledge 10.573
## 254 B3_PE5_PosPR ~~ B3_EE3_BecomeSkillful 9.885
## 396 B3_EE6_TooLongToLearn ~~ B3_FC2_WorkflowCompatibility 9.742
## 189 B3_PE2_WriteFaster ~~ B3_PE6_EasierWrite 9.522
## 196 B3_PE2_WriteFaster ~~ B3_EE4_TooMuchTime 9.494
## 265 B3_PE5_PosPR ~~ B3_FC4_FitsWellWithWork 9.411
## 96 PE =~ B3_EE3_BecomeSkillful 9.367
## 312 B3_PE8_MoreEfficient ~~ B3_SI4_Journals 9.224
## 339 B3_EE1_EasyToUse ~~ B3_SI2_ResClimate 9.100
## 106 PE =~ B3_FC2_WorkflowCompatibility 9.098
## 409 B3_SI2_ResClimate ~~ B3_SI5_Field 8.856
## 261 B3_PE5_PosPR ~~ B3_SI4_Journals 8.820
## 156 FC =~ B3_EE5_TooComplicated 8.549
## 350 B3_EE2_ClearUnderstandable ~~ B3_EE6_TooLongToLearn 8.502
## 304 B3_PE8_MoreEfficient ~~ B3_EE2_ClearUnderstandable 8.463
## 180 B3_PE1_Useful ~~ B3_SI4_Journals 8.431
## 136 SI =~ B3_EE3_BecomeSkillful 8.426
## 138 SI =~ B3_EE5_TooComplicated 8.413
## 316 B3_PE8_MoreEfficient ~~ B3_FC4_FitsWellWithWork 8.341
## 323 B3_PE9_IncQualSameEffort ~~ B3_EE6_TooLongToLearn 8.308
## 399 B3_SI1_Peers ~~ B3_SI2_ResClimate 7.990
## 182 B3_PE1_Useful ~~ B3_FC1_Knowledge 7.816
## 395 B3_EE6_TooLongToLearn ~~ B3_FC1_Knowledge 7.700
## 104 PE =~ B3_SI5_Field 7.555
## 160 FC =~ B3_SI3_Superiors 7.327
## 344 B3_EE1_EasyToUse ~~ B3_FC2_WorkflowCompatibility 7.289
## 412 B3_SI2_ResClimate ~~ B3_FC4_FitsWellWithWork 7.227
## 418 B3_SI3_Superiors ~~ B3_FC4_FitsWellWithWork 7.175
## 204 B3_PE2_WriteFaster ~~ B3_FC1_Knowledge 7.132
## 103 PE =~ B3_SI4_Journals 7.072
## 155 FC =~ B3_EE4_TooMuchTime 6.872
## 187 B3_PE2_WriteFaster ~~ B3_PE4_IncPubChances 6.682
## 154 FC =~ B3_EE3_BecomeSkillful 6.651
## 292 B3_PE7_ImproveQuality ~~ B3_EE6_TooLongToLearn 6.645
## 119 EE =~ B3_SI3_Superiors 6.427
## 243 B3_PE4_IncPubChances ~~ B3_SI5_Field 6.347
## 147 FC =~ B3_PE5_PosPR 5.798
## 247 B3_PE4_IncPubChances ~~ B3_BehIntUse 5.519
## 101 PE =~ B3_SI2_ResClimate 5.449
## 117 EE =~ B3_SI1_Peers 5.420
## 296 B3_PE7_ImproveQuality ~~ B3_SI4_Journals 5.372
## 231 B3_PE4_IncPubChances ~~ B3_PE8_MoreEfficient 5.361
## 385 B3_EE5_TooComplicated ~~ B3_SI5_Field 5.322
## 348 B3_EE2_ClearUnderstandable ~~ B3_EE4_TooMuchTime 5.262
## 370 B3_EE3_BecomeSkillful ~~ B3_FC4_FitsWellWithWork 5.153
## 319 B3_PE9_IncQualSameEffort ~~ B3_EE2_ClearUnderstandable 5.142
## 175 B3_PE1_Useful ~~ B3_EE5_TooComplicated 5.108
## 126 SI =~ B3_PE2_WriteFaster 5.090
## 146 FC =~ B3_PE4_IncPubChances 4.846
## 311 B3_PE8_MoreEfficient ~~ B3_SI3_Superiors 4.826
## 345 B3_EE1_EasyToUse ~~ B3_FC4_FitsWellWithWork 4.787
## 145 FC =~ B3_PE3_IncProductivity 4.757
## 341 B3_EE1_EasyToUse ~~ B3_SI4_Journals 4.692
## 224 B3_PE3_IncProductivity ~~ B3_SI5_Field 4.616
## 329 B3_PE9_IncQualSameEffort ~~ B3_FC1_Knowledge 4.546
## 122 EE =~ B3_FC1_Knowledge 4.540
## 386 B3_EE5_TooComplicated ~~ B3_FC1_Knowledge 4.530
## 206 B3_PE2_WriteFaster ~~ B3_FC4_FitsWellWithWork 4.371
## 434 B3_FC4_FitsWellWithWork ~~ B3_BehIntUse 4.371
## 267 B3_PE6_EasierWrite ~~ B3_PE7_ImproveQuality 4.334
## 163 B3_PE1_Useful ~~ B3_PE2_WriteFaster 4.322
## 432 B3_FC2_WorkflowCompatibility ~~ B3_FC4_FitsWellWithWork 4.317
## 262 B3_PE5_PosPR ~~ B3_SI5_Field 4.279
## 228 B3_PE3_IncProductivity ~~ B3_BehIntUse 4.274
## 286 B3_PE7_ImproveQuality ~~ B3_PE9_IncQualSameEffort 4.161
## 302 B3_PE8_MoreEfficient ~~ B3_PE9_IncQualSameEffort 4.058
## 421 B3_SI4_Journals ~~ B3_FC1_Knowledge 4.020
## 213 B3_PE3_IncProductivity ~~ B3_PE9_IncQualSameEffort 4.018
## 129 SI =~ B3_PE5_PosPR 3.986
## 382 B3_EE5_TooComplicated ~~ B3_SI2_ResClimate 3.954
## 183 B3_PE1_Useful ~~ B3_FC2_WorkflowCompatibility 3.802
## 335 B3_EE1_EasyToUse ~~ B3_EE4_TooMuchTime 3.774
## 402 B3_SI1_Peers ~~ B3_SI5_Field 3.713
## 162 FC =~ B3_SI5_Field 3.684
## 164 B3_PE1_Useful ~~ B3_PE3_IncProductivity 3.681
## 279 B3_PE6_EasierWrite ~~ B3_SI4_Journals 3.574
## 314 B3_PE8_MoreEfficient ~~ B3_FC1_Knowledge 3.495
## 116 EE =~ B3_PE9_IncQualSameEffort 3.494
## 297 B3_PE7_ImproveQuality ~~ B3_SI5_Field 3.484
## 371 B3_EE3_BecomeSkillful ~~ B3_BehIntUse 3.383
## 222 B3_PE3_IncProductivity ~~ B3_SI3_Superiors 3.325
## 413 B3_SI2_ResClimate ~~ B3_BehIntUse 3.306
## 223 B3_PE3_IncProductivity ~~ B3_SI4_Journals 3.306
## 360 B3_EE3_BecomeSkillful ~~ B3_EE4_TooMuchTime 3.299
## 127 SI =~ B3_PE3_IncProductivity 3.163
## 249 B3_PE5_PosPR ~~ B3_PE7_ImproveQuality 3.110
## 112 EE =~ B3_PE5_PosPR 3.102
## 142 SI =~ B3_FC4_FitsWellWithWork 3.101
## 170 B3_PE1_Useful ~~ B3_PE9_IncQualSameEffort 3.085
## 334 B3_EE1_EasyToUse ~~ B3_EE3_BecomeSkillful 2.950
## 375 B3_EE4_TooMuchTime ~~ B3_SI4_Journals 2.914
## 198 B3_PE2_WriteFaster ~~ B3_EE6_TooLongToLearn 2.892
## 391 B3_EE6_TooLongToLearn ~~ B3_SI2_ResClimate 2.844
## 139 SI =~ B3_EE6_TooLongToLearn 2.837
## 373 B3_EE4_TooMuchTime ~~ B3_SI2_ResClimate 2.718
## 173 B3_PE1_Useful ~~ B3_EE3_BecomeSkillful 2.718
## 369 B3_EE3_BecomeSkillful ~~ B3_FC2_WorkflowCompatibility 2.658
## 149 FC =~ B3_PE7_ImproveQuality 2.636
## 272 B3_PE6_EasierWrite ~~ B3_EE3_BecomeSkillful 2.577
## 95 PE =~ B3_EE2_ClearUnderstandable 2.560
## 203 B3_PE2_WriteFaster ~~ B3_SI5_Field 2.560
## 383 B3_EE5_TooComplicated ~~ B3_SI3_Superiors 2.503
## 405 B3_SI1_Peers ~~ B3_FC4_FitsWellWithWork 2.490
## 141 SI =~ B3_FC2_WorkflowCompatibility 2.482
## 110 EE =~ B3_PE3_IncProductivity 2.478
## 259 B3_PE5_PosPR ~~ B3_SI2_ResClimate 2.476
## 255 B3_PE5_PosPR ~~ B3_EE4_TooMuchTime 2.475
## 359 B3_EE2_ClearUnderstandable ~~ B3_BehIntUse 2.445
## 248 B3_PE5_PosPR ~~ B3_PE6_EasierWrite 2.414
## 426 B3_SI5_Field ~~ B3_FC2_WorkflowCompatibility 2.335
## 355 B3_EE2_ClearUnderstandable ~~ B3_SI5_Field 2.297
## 266 B3_PE5_PosPR ~~ B3_BehIntUse 2.297
## 356 B3_EE2_ClearUnderstandable ~~ B3_FC1_Knowledge 2.222
## 197 B3_PE2_WriteFaster ~~ B3_EE5_TooComplicated 2.213
## 378 B3_EE4_TooMuchTime ~~ B3_FC2_WorkflowCompatibility 2.142
## 362 B3_EE3_BecomeSkillful ~~ B3_EE6_TooLongToLearn 2.127
## 290 B3_PE7_ImproveQuality ~~ B3_EE4_TooMuchTime 2.107
## 113 EE =~ B3_PE6_EasierWrite 2.088
## 165 B3_PE1_Useful ~~ B3_PE4_IncPubChances 2.061
## 280 B3_PE6_EasierWrite ~~ B3_SI5_Field 2.045
## 379 B3_EE4_TooMuchTime ~~ B3_FC4_FitsWellWithWork 2.011
## 352 B3_EE2_ClearUnderstandable ~~ B3_SI2_ResClimate 1.956
## 207 B3_PE2_WriteFaster ~~ B3_BehIntUse 1.933
## 372 B3_EE4_TooMuchTime ~~ B3_SI1_Peers 1.880
## 244 B3_PE4_IncPubChances ~~ B3_FC1_Knowledge 1.877
## 433 B3_FC2_WorkflowCompatibility ~~ B3_BehIntUse 1.857
## 324 B3_PE9_IncQualSameEffort ~~ B3_SI1_Peers 1.854
## 275 B3_PE6_EasierWrite ~~ B3_EE6_TooLongToLearn 1.844
## 411 B3_SI2_ResClimate ~~ B3_FC2_WorkflowCompatibility 1.806
## 403 B3_SI1_Peers ~~ B3_FC1_Knowledge 1.797
## 111 EE =~ B3_PE4_IncPubChances 1.795
## 274 B3_PE6_EasierWrite ~~ B3_EE5_TooComplicated 1.774
## 283 B3_PE6_EasierWrite ~~ B3_FC4_FitsWellWithWork 1.745
## 376 B3_EE4_TooMuchTime ~~ B3_SI5_Field 1.745
## 299 B3_PE7_ImproveQuality ~~ B3_FC2_WorkflowCompatibility 1.713
## 215 B3_PE3_IncProductivity ~~ B3_EE2_ClearUnderstandable 1.664
## 191 B3_PE2_WriteFaster ~~ B3_PE8_MoreEfficient 1.613
## 295 B3_PE7_ImproveQuality ~~ B3_SI3_Superiors 1.585
## 310 B3_PE8_MoreEfficient ~~ B3_SI2_ResClimate 1.540
## 431 B3_FC1_Knowledge ~~ B3_BehIntUse 1.530
## 251 B3_PE5_PosPR ~~ B3_PE9_IncQualSameEffort 1.530
## 388 B3_EE5_TooComplicated ~~ B3_FC4_FitsWellWithWork 1.469
## 358 B3_EE2_ClearUnderstandable ~~ B3_FC4_FitsWellWithWork 1.463
## 325 B3_PE9_IncQualSameEffort ~~ B3_SI2_ResClimate 1.410
## 340 B3_EE1_EasyToUse ~~ B3_SI3_Superiors 1.382
## 338 B3_EE1_EasyToUse ~~ B3_SI1_Peers 1.382
## 269 B3_PE6_EasierWrite ~~ B3_PE9_IncQualSameEffort 1.336
## 260 B3_PE5_PosPR ~~ B3_SI3_Superiors 1.328
## 219 B3_PE3_IncProductivity ~~ B3_EE6_TooLongToLearn 1.326
## 144 FC =~ B3_PE2_WriteFaster 1.281
## 135 SI =~ B3_EE2_ClearUnderstandable 1.279
## 305 B3_PE8_MoreEfficient ~~ B3_EE3_BecomeSkillful 1.269
## 308 B3_PE8_MoreEfficient ~~ B3_EE6_TooLongToLearn 1.250
## 336 B3_EE1_EasyToUse ~~ B3_EE5_TooComplicated 1.237
## 226 B3_PE3_IncProductivity ~~ B3_FC2_WorkflowCompatibility 1.202
## 194 B3_PE2_WriteFaster ~~ B3_EE2_ClearUnderstandable 1.193
## 343 B3_EE1_EasyToUse ~~ B3_FC1_Knowledge 1.186
## 264 B3_PE5_PosPR ~~ B3_FC2_WorkflowCompatibility 1.183
## 422 B3_SI4_Journals ~~ B3_FC2_WorkflowCompatibility 1.180
## 363 B3_EE3_BecomeSkillful ~~ B3_SI1_Peers 1.140
## 137 SI =~ B3_EE4_TooMuchTime 1.098
## 195 B3_PE2_WriteFaster ~~ B3_EE3_BecomeSkillful 1.089
## 318 B3_PE9_IncQualSameEffort ~~ B3_EE1_EasyToUse 1.077
## 271 B3_PE6_EasierWrite ~~ B3_EE2_ClearUnderstandable 1.047
## 234 B3_PE4_IncPubChances ~~ B3_EE2_ClearUnderstandable 1.029
## 337 B3_EE1_EasyToUse ~~ B3_EE6_TooLongToLearn 0.998
## 242 B3_PE4_IncPubChances ~~ B3_SI4_Journals 0.955
## 114 EE =~ B3_PE7_ImproveQuality 0.933
## 351 B3_EE2_ClearUnderstandable ~~ B3_SI1_Peers 0.908
## 353 B3_EE2_ClearUnderstandable ~~ B3_SI3_Superiors 0.871
## 256 B3_PE5_PosPR ~~ B3_EE5_TooComplicated 0.859
## 270 B3_PE6_EasierWrite ~~ B3_EE1_EasyToUse 0.858
## 192 B3_PE2_WriteFaster ~~ B3_PE9_IncQualSameEffort 0.808
## 151 FC =~ B3_PE9_IncQualSameEffort 0.801
## 278 B3_PE6_EasierWrite ~~ B3_SI3_Superiors 0.775
## 300 B3_PE7_ImproveQuality ~~ B3_FC4_FitsWellWithWork 0.760
## 152 FC =~ B3_EE1_EasyToUse 0.730
## 123 EE =~ B3_FC2_WorkflowCompatibility 0.721
## 218 B3_PE3_IncProductivity ~~ B3_EE5_TooComplicated 0.713
## 253 B3_PE5_PosPR ~~ B3_EE2_ClearUnderstandable 0.706
## 425 B3_SI5_Field ~~ B3_FC1_Knowledge 0.693
## 121 EE =~ B3_SI5_Field 0.686
## 398 B3_EE6_TooLongToLearn ~~ B3_BehIntUse 0.660
## 239 B3_PE4_IncPubChances ~~ B3_SI1_Peers 0.650
## 229 B3_PE4_IncPubChances ~~ B3_PE6_EasierWrite 0.650
## 361 B3_EE3_BecomeSkillful ~~ B3_EE5_TooComplicated 0.645
## 322 B3_PE9_IncQualSameEffort ~~ B3_EE5_TooComplicated 0.642
## 227 B3_PE3_IncProductivity ~~ B3_FC4_FitsWellWithWork 0.636
## 364 B3_EE3_BecomeSkillful ~~ B3_SI2_ResClimate 0.602
## 276 B3_PE6_EasierWrite ~~ B3_SI1_Peers 0.595
## 294 B3_PE7_ImproveQuality ~~ B3_SI2_ResClimate 0.572
## 303 B3_PE8_MoreEfficient ~~ B3_EE1_EasyToUse 0.569
## 132 SI =~ B3_PE8_MoreEfficient 0.567
## 365 B3_EE3_BecomeSkillful ~~ B3_SI3_Superiors 0.553
## 332 B3_PE9_IncQualSameEffort ~~ B3_BehIntUse 0.553
## 133 SI =~ B3_PE9_IncQualSameEffort 0.533
## 257 B3_PE5_PosPR ~~ B3_EE6_TooLongToLearn 0.530
## 109 EE =~ B3_PE2_WriteFaster 0.527
## 419 B3_SI3_Superiors ~~ B3_BehIntUse 0.519
## 298 B3_PE7_ImproveQuality ~~ B3_FC1_Knowledge 0.518
## 281 B3_PE6_EasierWrite ~~ B3_FC1_Knowledge 0.507
## 288 B3_PE7_ImproveQuality ~~ B3_EE2_ClearUnderstandable 0.505
## 404 B3_SI1_Peers ~~ B3_FC2_WorkflowCompatibility 0.502
## 291 B3_PE7_ImproveQuality ~~ B3_EE5_TooComplicated 0.463
## 235 B3_PE4_IncPubChances ~~ B3_EE3_BecomeSkillful 0.456
## 220 B3_PE3_IncProductivity ~~ B3_SI1_Peers 0.455
## 282 B3_PE6_EasierWrite ~~ B3_FC2_WorkflowCompatibility 0.435
## 233 B3_PE4_IncPubChances ~~ B3_EE1_EasyToUse 0.400
## 354 B3_EE2_ClearUnderstandable ~~ B3_SI4_Journals 0.388
## 424 B3_SI4_Journals ~~ B3_BehIntUse 0.386
## 417 B3_SI3_Superiors ~~ B3_FC2_WorkflowCompatibility 0.366
## 309 B3_PE8_MoreEfficient ~~ B3_SI1_Peers 0.359
## 199 B3_PE2_WriteFaster ~~ B3_SI1_Peers 0.350
## 306 B3_PE8_MoreEfficient ~~ B3_EE4_TooMuchTime 0.350
## 124 EE =~ B3_FC4_FitsWellWithWork 0.337
## 381 B3_EE5_TooComplicated ~~ B3_SI1_Peers 0.321
## 367 B3_EE3_BecomeSkillful ~~ B3_SI5_Field 0.317
## 374 B3_EE4_TooMuchTime ~~ B3_SI3_Superiors 0.303
## 205 B3_PE2_WriteFaster ~~ B3_FC2_WorkflowCompatibility 0.292
## 200 B3_PE2_WriteFaster ~~ B3_SI2_ResClimate 0.286
## 232 B3_PE4_IncPubChances ~~ B3_PE9_IncQualSameEffort 0.279
## 171 B3_PE1_Useful ~~ B3_EE1_EasyToUse 0.272
## 342 B3_EE1_EasyToUse ~~ B3_SI5_Field 0.266
## 148 FC =~ B3_PE6_EasierWrite 0.262
## 177 B3_PE1_Useful ~~ B3_SI1_Peers 0.249
## 246 B3_PE4_IncPubChances ~~ B3_FC4_FitsWellWithWork 0.248
## 397 B3_EE6_TooLongToLearn ~~ B3_FC4_FitsWellWithWork 0.244
## 390 B3_EE6_TooLongToLearn ~~ B3_SI1_Peers 0.242
## 347 B3_EE2_ClearUnderstandable ~~ B3_EE3_BecomeSkillful 0.241
## 387 B3_EE5_TooComplicated ~~ B3_FC2_WorkflowCompatibility 0.225
## 394 B3_EE6_TooLongToLearn ~~ B3_SI5_Field 0.225
## 346 B3_EE1_EasyToUse ~~ B3_BehIntUse 0.222
## 250 B3_PE5_PosPR ~~ B3_PE8_MoreEfficient 0.220
## 210 B3_PE3_IncProductivity ~~ B3_PE6_EasierWrite 0.218
## 366 B3_EE3_BecomeSkillful ~~ B3_SI4_Journals 0.199
## 410 B3_SI2_ResClimate ~~ B3_FC1_Knowledge 0.194
## 208 B3_PE3_IncProductivity ~~ B3_PE4_IncPubChances 0.184
## 236 B3_PE4_IncPubChances ~~ B3_EE4_TooMuchTime 0.181
## 258 B3_PE5_PosPR ~~ B3_SI1_Peers 0.178
## 315 B3_PE8_MoreEfficient ~~ B3_FC2_WorkflowCompatibility 0.171
## 212 B3_PE3_IncProductivity ~~ B3_PE8_MoreEfficient 0.170
## 287 B3_PE7_ImproveQuality ~~ B3_EE1_EasyToUse 0.166
## 225 B3_PE3_IncProductivity ~~ B3_FC1_Knowledge 0.150
## 313 B3_PE8_MoreEfficient ~~ B3_SI5_Field 0.140
## 179 B3_PE1_Useful ~~ B3_SI3_Superiors 0.138
## 293 B3_PE7_ImproveQuality ~~ B3_SI1_Peers 0.126
## 245 B3_PE4_IncPubChances ~~ B3_FC2_WorkflowCompatibility 0.125
## 140 SI =~ B3_FC1_Knowledge 0.124
## 326 B3_PE9_IncQualSameEffort ~~ B3_SI3_Superiors 0.114
## 284 B3_PE6_EasierWrite ~~ B3_BehIntUse 0.110
## 102 PE =~ B3_SI3_Superiors 0.107
## 428 B3_SI5_Field ~~ B3_BehIntUse 0.104
## 423 B3_SI4_Journals ~~ B3_FC4_FitsWellWithWork 0.103
## 174 B3_PE1_Useful ~~ B3_EE4_TooMuchTime 0.101
## 277 B3_PE6_EasierWrite ~~ B3_SI2_ResClimate 0.094
## 202 B3_PE2_WriteFaster ~~ B3_SI4_Journals 0.092
## 416 B3_SI3_Superiors ~~ B3_FC1_Knowledge 0.088
## 237 B3_PE4_IncPubChances ~~ B3_EE5_TooComplicated 0.078
## 273 B3_PE6_EasierWrite ~~ B3_EE4_TooMuchTime 0.071
## 184 B3_PE1_Useful ~~ B3_FC4_FitsWellWithWork 0.070
## 389 B3_EE5_TooComplicated ~~ B3_BehIntUse 0.065
## 172 B3_PE1_Useful ~~ B3_EE2_ClearUnderstandable 0.065
## 330 B3_PE9_IncQualSameEffort ~~ B3_FC2_WorkflowCompatibility 0.059
## 201 B3_PE2_WriteFaster ~~ B3_SI3_Superiors 0.058
## 94 PE =~ B3_EE1_EasyToUse 0.052
## 327 B3_PE9_IncQualSameEffort ~~ B3_SI4_Journals 0.051
## 216 B3_PE3_IncProductivity ~~ B3_EE3_BecomeSkillful 0.047
## 263 B3_PE5_PosPR ~~ B3_FC1_Knowledge 0.044
## 427 B3_SI5_Field ~~ B3_FC4_FitsWellWithWork 0.036
## 384 B3_EE5_TooComplicated ~~ B3_SI4_Journals 0.035
## 166 B3_PE1_Useful ~~ B3_PE5_PosPR 0.032
## 99 PE =~ B3_EE6_TooLongToLearn 0.027
## 393 B3_EE6_TooLongToLearn ~~ B3_SI4_Journals 0.023
## 240 B3_PE4_IncPubChances ~~ B3_SI2_ResClimate 0.021
## 241 B3_PE4_IncPubChances ~~ B3_SI3_Superiors 0.018
## 331 B3_PE9_IncQualSameEffort ~~ B3_FC4_FitsWellWithWork 0.018
## 392 B3_EE6_TooLongToLearn ~~ B3_SI3_Superiors 0.016
## 321 B3_PE9_IncQualSameEffort ~~ B3_EE4_TooMuchTime 0.016
## 188 B3_PE2_WriteFaster ~~ B3_PE5_PosPR 0.015
## 134 SI =~ B3_EE1_EasyToUse 0.014
## 221 B3_PE3_IncProductivity ~~ B3_SI2_ResClimate 0.014
## 289 B3_PE7_ImproveQuality ~~ B3_EE3_BecomeSkillful 0.009
## 214 B3_PE3_IncProductivity ~~ B3_EE1_EasyToUse 0.005
## 285 B3_PE7_ImproveQuality ~~ B3_PE8_MoreEfficient 0.003
## 209 B3_PE3_IncProductivity ~~ B3_PE5_PosPR 0.002
## 307 B3_PE8_MoreEfficient ~~ B3_EE5_TooComplicated 0.002
## 406 B3_SI1_Peers ~~ B3_BehIntUse 0.001
## 217 B3_PE3_IncProductivity ~~ B3_EE4_TooMuchTime 0.001
## 193 B3_PE2_WriteFaster ~~ B3_EE1_EasyToUse 0.001
## 238 B3_PE4_IncPubChances ~~ B3_EE6_TooLongToLearn 0.000
## 252 B3_PE5_PosPR ~~ B3_EE1_EasyToUse 0.000
## 320 B3_PE9_IncQualSameEffort ~~ B3_EE3_BecomeSkillful 0.000
## 181 B3_PE1_Useful ~~ B3_SI5_Field 0.000
## 357 B3_EE2_ClearUnderstandable ~~ B3_FC2_WorkflowCompatibility 0.000
## epc sepc.lv sepc.all sepc.nox
## 400 0.686 0.686 1.376 1.376
## 186 0.288 0.288 0.407 0.407
## 168 0.249 0.249 0.371 0.371
## 190 -0.240 -0.240 -0.380 -0.380
## 408 0.275 0.275 0.308 0.308
## 143 0.405 0.405 0.342 0.342
## 429 0.170 0.170 0.340 0.340
## 107 0.417 0.417 0.335 0.335
## 105 -0.286 -0.286 -0.310 -0.310
## 420 0.251 0.251 0.236 0.236
## 120 0.226 0.226 0.217 0.217
## 161 0.248 0.248 0.239 0.239
## 125 0.239 0.239 0.202 0.202
## 301 0.151 0.151 0.224 0.224
## 108 0.232 0.232 0.196 0.196
## 401 -0.165 -0.165 -0.283 -0.283
## 176 0.126 0.126 0.135 0.135
## 414 -0.176 -0.176 -0.246 -0.246
## 169 -0.125 -0.125 -0.217 -0.217
## 211 -0.130 -0.130 -0.202 -0.202
## 430 -0.119 -0.119 -0.233 -0.233
## 159 0.228 0.228 0.179 0.179
## 115 -0.165 -0.165 -0.125 -0.125
## 128 0.174 0.174 0.145 0.145
## 97 0.219 0.219 0.152 0.152
## 415 -0.201 -0.201 -0.223 -0.223
## 130 -0.155 -0.155 -0.118 -0.118
## 157 0.263 0.263 0.200 0.200
## 407 -0.176 -0.176 -0.230 -0.230
## 380 0.141 0.141 0.139 0.139
## 185 0.127 0.127 0.163 0.163
## 100 -0.171 -0.171 -0.132 -0.132
## 317 -0.102 -0.102 -0.178 -0.178
## 268 0.089 0.089 0.207 0.207
## 368 0.094 0.094 0.159 0.159
## 349 0.063 0.063 0.132 0.132
## 230 0.091 0.091 0.116 0.116
## 98 -0.118 -0.118 -0.097 -0.097
## 167 -0.096 -0.096 -0.164 -0.164
## 150 -0.168 -0.168 -0.127 -0.127
## 158 -0.162 -0.162 -0.125 -0.125
## 131 0.139 0.139 0.117 0.117
## 153 -0.233 -0.233 -0.220 -0.220
## 118 0.158 0.158 0.124 0.124
## 333 0.099 0.099 0.326 0.326
## 328 0.130 0.130 0.142 0.142
## 178 0.119 0.119 0.138 0.138
## 377 -0.101 -0.101 -0.116 -0.116
## 254 0.079 0.079 0.102 0.102
## 396 0.067 0.067 0.097 0.097
## 189 0.086 0.086 0.156 0.156
## 196 0.109 0.109 0.114 0.114
## 265 -0.074 -0.074 -0.112 -0.112
## 96 0.129 0.129 0.120 0.120
## 312 -0.081 -0.081 -0.136 -0.136
## 339 0.086 0.086 0.154 0.154
## 106 -0.173 -0.173 -0.151 -0.151
## 409 0.147 0.147 0.130 0.130
## 261 0.086 0.086 0.094 0.094
## 156 -0.174 -0.174 -0.143 -0.143
## 350 -0.055 -0.055 -0.098 -0.098
## 304 -0.052 -0.052 -0.151 -0.151
## 180 0.097 0.097 0.120 0.120
## 136 0.111 0.111 0.102 0.102
## 138 -0.087 -0.087 -0.072 -0.072
## 316 0.066 0.066 0.151 0.151
## 323 -0.070 -0.070 -0.083 -0.083
## 399 -0.119 -0.119 -0.191 -0.191
## 182 0.078 0.078 0.117 0.117
## 395 0.062 0.062 0.078 0.078
## 104 0.162 0.162 0.117 0.117
## 160 -0.138 -0.138 -0.098 -0.098
## 344 -0.060 -0.060 -0.158 -0.158
## 412 0.086 0.086 0.131 0.131
## 418 -0.078 -0.078 -0.148 -0.148
## 204 -0.074 -0.074 -0.116 -0.116
## 103 0.122 0.122 0.117 0.117
## 155 0.240 0.240 0.167 0.167
## 187 -0.074 -0.074 -0.086 -0.086
## 154 0.197 0.197 0.183 0.183
## 292 0.059 0.059 0.074 0.074
## 119 -0.113 -0.113 -0.080 -0.080
## 243 0.095 0.095 0.080 0.080
## 147 -0.120 -0.120 -0.100 -0.100
## 247 0.069 0.069 0.076 0.076
## 101 0.119 0.119 0.093 0.093
## 117 -0.095 -0.095 -0.073 -0.073
## 296 0.068 0.068 0.098 0.098
## 231 -0.054 -0.054 -0.081 -0.081
## 385 -0.071 -0.071 -0.068 -0.068
## 348 -0.060 -0.060 -0.099 -0.099
## 370 -0.058 -0.058 -0.112 -0.112
## 319 0.047 0.047 0.112 0.112
## 175 -0.053 -0.053 -0.066 -0.066
## 126 -0.103 -0.103 -0.071 -0.071
## 146 0.113 0.113 0.094 0.094
## 311 0.058 0.058 0.114 0.114
## 345 0.052 0.052 0.134 0.134
## 145 -0.126 -0.126 -0.094 -0.094
## 341 0.057 0.057 0.108 0.108
## 224 -0.091 -0.091 -0.092 -0.092
## 329 -0.055 -0.055 -0.092 -0.092
## 122 0.156 0.156 0.169 0.169
## 386 0.043 0.043 0.062 0.062
## 206 0.058 0.058 0.104 0.104
## 434 0.075 0.075 0.126 0.126
## 267 -0.051 -0.051 -0.101 -0.101
## 163 -0.068 -0.068 -0.092 -0.092
## 432 -0.097 -0.097 -0.220 -0.220
## 262 0.076 0.076 0.066 0.066
## 228 -0.068 -0.068 -0.091 -0.091
## 286 0.056 0.056 0.093 0.093
## 302 0.052 0.052 0.101 0.101
## 421 0.058 0.058 0.083 0.083
## 213 -0.061 -0.061 -0.092 -0.092
## 129 0.079 0.079 0.066 0.066
## 382 -0.052 -0.052 -0.059 -0.059
## 183 0.052 0.052 0.090 0.090
## 335 0.059 0.059 0.089 0.089
## 402 -0.087 -0.087 -0.117 -0.117
## 162 0.117 0.117 0.084 0.084
## 164 -0.062 -0.062 -0.083 -0.083
## 279 -0.051 -0.051 -0.084 -0.084
## 314 -0.042 -0.042 -0.085 -0.085
## 116 0.082 0.082 0.062 0.062
## 297 0.070 0.070 0.080 0.080
## 371 -0.055 -0.055 -0.080 -0.080
## 222 0.059 0.059 0.089 0.089
## 413 -0.069 -0.069 -0.079 -0.079
## 223 -0.060 -0.060 -0.077 -0.077
## 360 -0.060 -0.060 -0.067 -0.067
## 127 -0.081 -0.081 -0.060 -0.060
## 249 0.044 0.044 0.058 0.058
## 112 -0.071 -0.071 -0.059 -0.059
## 142 -0.087 -0.087 -0.070 -0.070
## 170 -0.054 -0.054 -0.077 -0.077
## 334 -0.046 -0.046 -0.104 -0.104
## 375 -0.063 -0.063 -0.060 -0.060
## 198 -0.044 -0.044 -0.050 -0.050
## 391 0.050 0.050 0.048 0.048
## 139 0.057 0.057 0.043 0.043
## 373 -0.067 -0.067 -0.060 -0.060
## 173 -0.048 -0.048 -0.070 -0.070
## 369 0.040 0.040 0.078 0.078
## 149 0.084 0.084 0.071 0.071
## 272 0.038 0.038 0.074 0.074
## 95 -0.056 -0.056 -0.053 -0.053
## 203 -0.067 -0.067 -0.070 -0.070
## 383 0.037 0.037 0.053 0.053
## 405 -0.041 -0.041 -0.095 -0.095
## 141 0.070 0.070 0.062 0.062
## 110 -0.073 -0.073 -0.055 -0.055
## 259 0.050 0.050 0.051 0.051
## 255 -0.049 -0.049 -0.043 -0.043
## 359 -0.038 -0.038 -0.080 -0.080
## 248 -0.036 -0.036 -0.054 -0.054
## 426 0.054 0.054 0.071 0.071
## 355 0.045 0.045 0.073 0.073
## 266 -0.043 -0.043 -0.049 -0.049
## 356 -0.029 -0.029 -0.072 -0.072
## 197 -0.034 -0.034 -0.045 -0.045
## 378 -0.044 -0.044 -0.058 -0.058
## 362 0.035 0.035 0.042 0.042
## 290 -0.046 -0.046 -0.053 -0.053
## 113 0.056 0.056 0.043 0.043
## 165 0.041 0.041 0.046 0.046
## 280 -0.050 -0.050 -0.064 -0.064
## 379 0.045 0.045 0.058 0.058
## 352 -0.035 -0.035 -0.068 -0.068
## 207 -0.046 -0.046 -0.062 -0.062
## 372 0.044 0.044 0.060 0.060
## 244 0.034 0.034 0.044 0.044
## 433 -0.044 -0.044 -0.076 -0.076
## 324 -0.037 -0.037 -0.073 -0.073
## 275 -0.029 -0.029 -0.041 -0.041
## 411 0.041 0.041 0.063 0.063
## 403 0.034 0.034 0.069 0.069
## 111 0.056 0.056 0.047 0.047
## 274 0.025 0.025 0.042 0.042
## 283 0.030 0.030 0.068 0.068
## 376 -0.063 -0.063 -0.047 -0.047
## 299 -0.031 -0.031 -0.062 -0.062
## 215 0.028 0.028 0.063 0.063
## 191 0.035 0.035 0.065 0.065
## 295 -0.036 -0.036 -0.061 -0.061
## 310 -0.036 -0.036 -0.057 -0.057
## 431 -0.036 -0.036 -0.054 -0.054
## 251 0.032 0.032 0.041 0.041
## 388 -0.025 -0.025 -0.041 -0.041
## 358 -0.025 -0.025 -0.070 -0.070
## 325 -0.040 -0.040 -0.052 -0.052
## 340 -0.030 -0.030 -0.068 -0.068
## 338 -0.027 -0.027 -0.073 -0.073
## 269 -0.030 -0.030 -0.058 -0.058
## 260 -0.033 -0.033 -0.042 -0.042
## 219 -0.030 -0.030 -0.033 -0.033
## 144 -0.066 -0.066 -0.045 -0.045
## 135 -0.035 -0.035 -0.033 -0.033
## 305 0.026 0.026 0.052 0.052
## 308 -0.023 -0.023 -0.034 -0.034
## 336 -0.022 -0.022 -0.042 -0.042
## 226 -0.029 -0.029 -0.052 -0.052
## 194 0.024 0.024 0.054 0.054
## 343 -0.024 -0.024 -0.055 -0.055
## 264 0.025 0.025 0.038 0.038
## 422 0.030 0.030 0.050 0.050
## 363 0.028 0.028 0.056 0.056
## 137 0.049 0.049 0.034 0.034
## 195 -0.030 -0.030 -0.046 -0.046
## 318 0.024 0.024 0.054 0.054
## 271 -0.019 -0.019 -0.053 -0.053
## 234 0.020 0.020 0.037 0.037
## 337 -0.022 -0.022 -0.036 -0.036
## 242 0.029 0.029 0.031 0.031
## 114 0.040 0.040 0.034 0.034
## 351 0.019 0.019 0.057 0.057
## 353 -0.021 -0.021 -0.051 -0.051
## 256 -0.019 -0.019 -0.021 -0.021
## 270 0.019 0.019 0.050 0.050
## 192 -0.028 -0.028 -0.042 -0.042
## 151 0.049 0.049 0.037 0.037
## 278 -0.023 -0.023 -0.045 -0.045
## 300 -0.022 -0.022 -0.043 -0.043
## 152 -0.069 -0.069 -0.056 -0.056
## 123 -0.075 -0.075 -0.066 -0.066
## 218 -0.019 -0.019 -0.025 -0.025
## 253 -0.016 -0.016 -0.031 -0.031
## 425 -0.031 -0.031 -0.035 -0.035
## 121 0.045 0.045 0.033 0.033
## 398 0.022 0.022 0.023 0.023
## 239 0.021 0.021 0.032 0.032
## 229 -0.019 -0.019 -0.028 -0.028
## 361 -0.017 -0.017 -0.024 -0.024
## 322 0.017 0.017 0.024 0.024
## 227 0.022 0.022 0.039 0.039
## 364 -0.026 -0.026 -0.034 -0.034
## 276 -0.018 -0.018 -0.043 -0.043
## 294 0.024 0.024 0.033 0.033
## 303 -0.015 -0.015 -0.041 -0.041
## 132 -0.028 -0.028 -0.021 -0.021
## 365 0.022 0.022 0.036 0.036
## 332 0.023 0.023 0.033 0.033
## 133 -0.031 -0.031 -0.024 -0.024
## 257 0.016 0.016 0.016 0.016
## 109 -0.034 -0.034 -0.023 -0.023
## 419 0.026 0.026 0.037 0.037
## 298 0.018 0.018 0.031 0.031
## 281 -0.016 -0.016 -0.032 -0.032
## 288 0.014 0.014 0.035 0.035
## 404 -0.017 -0.017 -0.041 -0.041
## 291 -0.014 -0.014 -0.020 -0.020
## 235 -0.017 -0.017 -0.022 -0.022
## 220 -0.019 -0.019 -0.036 -0.036
## 282 -0.014 -0.014 -0.033 -0.033
## 233 -0.014 -0.014 -0.024 -0.024
## 354 0.014 0.014 0.030 0.030
## 424 0.021 0.021 0.026 0.026
## 417 0.017 0.017 0.032 0.032
## 309 0.014 0.014 0.034 0.034
## 199 -0.017 -0.017 -0.032 -0.032
## 306 0.017 0.017 0.023 0.023
## 124 -0.057 -0.057 -0.046 -0.046
## 381 -0.012 -0.012 -0.020 -0.020
## 367 0.022 0.022 0.024 0.024
## 374 -0.020 -0.020 -0.022 -0.022
## 205 -0.014 -0.014 -0.026 -0.026
## 200 -0.019 -0.019 -0.024 -0.024
## 232 -0.014 -0.014 -0.017 -0.017
## 171 0.013 0.013 0.026 0.026
## 342 -0.017 -0.017 -0.026 -0.026
## 148 0.025 0.025 0.019 0.019
## 177 -0.015 -0.015 -0.026 -0.026
## 246 -0.012 -0.012 -0.018 -0.018
## 397 0.011 0.011 0.016 0.016
## 390 -0.011 -0.011 -0.017 -0.017
## 347 0.011 0.011 0.027 0.027
## 387 -0.009 -0.009 -0.015 -0.015
## 394 0.016 0.016 0.013 0.013
## 346 -0.013 -0.013 -0.026 -0.026
## 250 0.011 0.011 0.016 0.016
## 210 0.013 0.013 0.023 0.023
## 366 0.013 0.013 0.019 0.019
## 410 0.014 0.014 0.019 0.019
## 208 -0.012 -0.012 -0.014 -0.014
## 236 0.014 0.014 0.011 0.011
## 258 0.011 0.011 0.017 0.017
## 315 -0.009 -0.009 -0.021 -0.021
## 212 0.011 0.011 0.020 0.020
## 287 -0.009 -0.009 -0.021 -0.021
## 225 -0.011 -0.011 -0.017 -0.017
## 313 -0.013 -0.013 -0.017 -0.017
## 179 -0.012 -0.012 -0.018 -0.018
## 293 0.009 0.009 0.019 0.019
## 245 -0.008 -0.008 -0.012 -0.012
## 140 0.014 0.014 0.016 0.016
## 326 -0.010 -0.010 -0.017 -0.017
## 284 -0.009 -0.009 -0.015 -0.015
## 102 -0.016 -0.016 -0.012 -0.012
## 428 0.014 0.014 0.014 0.014
## 423 -0.009 -0.009 -0.015 -0.015
## 174 0.011 0.011 0.011 0.011
## 277 -0.009 -0.009 -0.014 -0.014
## 202 0.010 0.010 0.013 0.013
## 416 -0.008 -0.008 -0.014 -0.014
## 237 0.006 0.006 0.006 0.006
## 273 0.008 0.008 0.010 0.010
## 184 -0.007 -0.007 -0.013 -0.013
## 389 0.006 0.006 0.008 0.008
## 172 -0.006 -0.006 -0.012 -0.012
## 330 -0.006 -0.006 -0.012 -0.012
## 201 0.008 0.008 0.012 0.012
## 94 0.009 0.009 0.007 0.007
## 327 0.007 0.007 0.010 0.010
## 216 -0.006 -0.006 -0.009 -0.009
## 263 -0.005 -0.005 -0.007 -0.007
## 427 0.007 0.007 0.009 0.009
## 384 0.004 0.004 0.005 0.005
## 166 0.005 0.005 0.006 0.006
## 99 -0.006 -0.006 -0.005 -0.005
## 393 0.004 0.004 0.004 0.004
## 240 0.005 0.005 0.005 0.005
## 241 0.004 0.004 0.005 0.005
## 331 0.004 0.004 0.007 0.007
## 392 -0.003 -0.003 -0.004 -0.004
## 321 0.004 0.004 0.005 0.005
## 188 -0.003 -0.003 -0.004 -0.004
## 134 -0.004 -0.004 -0.003 -0.003
## 221 0.004 0.004 0.005 0.005
## 289 -0.002 -0.002 -0.004 -0.004
## 214 -0.002 -0.002 -0.003 -0.003
## 285 0.001 0.001 0.003 0.003
## 209 -0.001 -0.001 -0.001 -0.001
## 307 0.001 0.001 0.001 0.001
## 406 0.001 0.001 0.001 0.001
## 217 -0.001 -0.001 -0.001 -0.001
## 193 -0.001 -0.001 -0.001 -0.001
## 238 0.000 0.000 0.000 0.000
## 252 0.000 0.000 -0.001 -0.001
## 320 0.000 0.000 0.000 0.000
## 181 0.000 0.000 0.000 0.000
## 357 0.000 0.000 0.000 0.000#Get the factor loadings
inspect(fitB3.2dropfc3,what="std")$lambda## PE EE SI FC B3_BIU
## B3_PE1_Useful 0.665 0.000 0.000 0.000 0
## B3_PE2_WriteFaster 0.818 0.000 0.000 0.000 0
## B3_PE3_IncProductivity 0.775 0.000 0.000 0.000 0
## B3_PE4_IncPubChances 0.511 0.000 0.000 0.000 0
## B3_PE5_PosPR 0.553 0.000 0.000 0.000 0
## B3_PE6_EasierWrite 0.864 0.000 0.000 0.000 0
## B3_PE7_ImproveQuality 0.767 0.000 0.000 0.000 0
## B3_PE8_MoreEfficient 0.870 0.000 0.000 0.000 0
## B3_PE9_IncQualSameEffort 0.804 0.000 0.000 0.000 0
## B3_EE1_EasyToUse 0.000 0.887 0.000 0.000 0
## B3_EE2_ClearUnderstandable 0.000 0.866 0.000 0.000 0
## B3_EE3_BecomeSkillful 0.000 0.693 0.000 0.000 0
## B3_EE4_TooMuchTime 0.000 0.604 0.000 0.000 0
## B3_EE5_TooComplicated 0.000 0.671 0.000 0.000 0
## B3_EE6_TooLongToLearn 0.000 0.598 0.000 0.000 0
## B3_SI1_Peers 0.000 0.000 0.870 0.000 0
## B3_SI2_ResClimate 0.000 0.000 0.639 0.000 0
## B3_SI3_Superiors 0.000 0.000 0.831 0.000 0
## B3_SI4_Journals 0.000 0.000 0.473 0.000 0
## B3_SI5_Field 0.000 0.000 0.549 0.000 0
## B3_FC1_Knowledge 0.000 0.000 0.000 0.567 0
## B3_FC2_WorkflowCompatibility 0.000 0.000 0.000 0.817 0
## B3_FC4_FitsWellWithWork 0.000 0.000 0.000 0.843 0
## B3_BehIntUse 0.000 0.000 0.000 0.000 1B3model3factor <-
'PE =~ B3_PE1_Useful + B3_PE2_WriteFaster + B3_PE3_IncProductivity + B3_PE4_IncPubChances + B3_PE5_PosPR + B3_PE6_EasierWrite + B3_PE7_ImproveQuality + B3_PE8_MoreEfficient + B3_PE9_IncQualSameEffort
EEFC=~ B3_EE1_EasyToUse + B3_EE2_ClearUnderstandable + B3_EE3_BecomeSkillful + B3_EE4_TooMuchTime + B3_EE5_TooComplicated + B3_EE6_TooLongToLearn + B3_FC1_Knowledge + B3_FC2_WorkflowCompatibility + B3_FC3_EasyToUse + B3_FC4_FitsWellWithWork
SI=~ B3_SI1_Peers + B3_SI2_ResClimate + B3_SI3_Superiors + B3_SI4_Journals + B3_SI5_Field
B3_BehIntUse ~ PE + EEFC + SI
'
#fit the model
fitB3.3fac <- cfa(model = B3model3factor,
data = B3likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB3.3fac, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 25 iterations
##
## Optimization method NLMINB
## Number of free parameters 80
##
## Number of observations 635
##
## Estimator ML Robust
## Model Fit Test Statistic 2237.172 1682.378
## Degrees of freedom 270 270
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.330
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 11030.845 7075.700
## Degrees of freedom 300 300
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.817 0.792
## Tucker-Lewis Index (TLI) 0.796 0.768
##
## Robust Comparative Fit Index (CFI) 0.822
## Robust Tucker-Lewis Index (TLI) 0.802
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -21459.673 -21459.673
## Loglikelihood unrestricted model (H1) -20341.088 -20341.088
##
## Number of free parameters 80 80
## Akaike (AIC) 43079.347 43079.347
## Bayesian (BIC) 43435.637 43435.637
## Sample-size adjusted Bayesian (BIC) 43181.644 43181.644
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.107 0.091
## 90 Percent Confidence Interval 0.103 0.111 0.087 0.094
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.105
## 90 Percent Confidence Interval 0.100 0.109
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.082 0.082
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B3_PE1_Useful 0.790 0.058 13.582 0.000 0.790 0.668
## B3_PE2_WrtFstr 1.176 0.041 28.495 0.000 1.176 0.812
## B3_PE3_IncPrdc 1.036 0.044 23.594 0.000 1.036 0.771
## B3_PE4_IncPbCh 0.646 0.054 11.878 0.000 0.646 0.541
## B3_PE5_PosPR 0.691 0.052 13.197 0.000 0.691 0.580
## B3_PE6_EasrWrt 1.130 0.044 25.885 0.000 1.130 0.858
## B3_PE7_ImprvQl 0.917 0.055 16.591 0.000 0.917 0.775
## B3_PE8_MrEffcn 1.142 0.044 26.116 0.000 1.142 0.865
## B3_PE9_IncQlSE 1.067 0.046 23.005 0.000 1.067 0.803
## EEFC =~
## B3_EE1_EasyTUs 1.042 0.047 21.966 0.000 1.042 0.839
## B3_EE2_ClrUndr 0.860 0.047 18.319 0.000 0.860 0.812
## B3_EE3_BcmSkll 0.731 0.048 15.137 0.000 0.731 0.677
## B3_EE4_ToMchTm 0.960 0.045 21.302 0.000 0.960 0.667
## B3_EE5_TCmplct 0.896 0.046 19.378 0.000 0.896 0.735
## B3_EE6_TLngTLr 0.920 0.047 19.570 0.000 0.920 0.697
## B3_FC1_Knowldg 0.519 0.047 10.978 0.000 0.519 0.563
## B3_FC2_WrkflwC 0.847 0.051 16.730 0.000 0.847 0.743
## B3_FC3_EasyTUs 0.957 0.044 22.004 0.000 0.957 0.852
## B3_FC4_FtsWlWW 0.949 0.045 21.062 0.000 0.949 0.762
## SI =~
## B3_SI1_Peers 1.126 0.044 25.380 0.000 1.126 0.871
## B3_SI2_ResClmt 0.810 0.054 15.064 0.000 0.810 0.637
## B3_SI3_Superrs 1.170 0.050 23.492 0.000 1.170 0.833
## B3_SI4_Journls 0.491 0.051 9.544 0.000 0.491 0.472
## B3_SI5_Field 0.761 0.060 12.782 0.000 0.761 0.548
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B3_BehIntUse ~
## PE 0.543 0.067 8.134 0.000 0.543 0.413
## EEFC 0.297 0.062 4.807 0.000 0.297 0.226
## SI 0.304 0.052 5.828 0.000 0.304 0.231
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EEFC 0.584 0.033 17.598 0.000 0.584 0.584
## SI 0.509 0.037 13.623 0.000 0.509 0.509
## EEFC ~~
## SI 0.402 0.041 9.832 0.000 0.402 0.402
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 5.636 0.047 120.173 0.000 5.636 4.769
## .B3_PE2_WrtFstr 4.430 0.057 77.086 0.000 4.430 3.059
## .B3_PE3_IncPrdc 4.113 0.053 77.163 0.000 4.113 3.062
## .B3_PE4_IncPbCh 5.302 0.047 111.864 0.000 5.302 4.439
## .B3_PE5_PosPR 5.117 0.047 108.097 0.000 5.117 4.290
## .B3_PE6_EasrWrt 4.806 0.052 91.972 0.000 4.806 3.650
## .B3_PE7_ImprvQl 5.576 0.047 118.758 0.000 5.576 4.713
## .B3_PE8_MrEffcn 4.789 0.052 91.452 0.000 4.789 3.629
## .B3_PE9_IncQlSE 4.631 0.053 87.888 0.000 4.631 3.488
## .B3_EE1_EasyTUs 5.213 0.049 105.826 0.000 5.213 4.200
## .B3_EE2_ClrUndr 5.504 0.042 130.913 0.000 5.504 5.195
## .B3_EE3_BcmSkll 5.351 0.043 124.855 0.000 5.351 4.955
## .B3_EE4_ToMchTm 4.699 0.057 82.271 0.000 4.699 3.265
## .B3_EE5_TCmplct 5.506 0.048 113.741 0.000 5.506 4.514
## .B3_EE6_TLngTLr 5.394 0.052 102.914 0.000 5.394 4.084
## .B3_FC1_Knowldg 5.890 0.037 161.200 0.000 5.890 6.397
## .B3_FC2_WrkflwC 5.469 0.045 120.830 0.000 5.469 4.795
## .B3_FC3_EasyTUs 5.361 0.045 120.168 0.000 5.361 4.769
## .B3_FC4_FtsWlWW 5.164 0.049 104.479 0.000 5.164 4.146
## .B3_SI1_Peers 4.613 0.051 89.849 0.000 4.613 3.566
## .B3_SI2_ResClmt 5.112 0.050 101.385 0.000 5.112 4.023
## .B3_SI3_Superrs 4.452 0.056 79.855 0.000 4.452 3.169
## .B3_SI4_Journls 5.625 0.041 136.300 0.000 5.625 5.409
## .B3_SI5_Field 4.476 0.055 81.287 0.000 4.476 3.226
## .B3_BehIntUse 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 0.773 0.079 9.737 0.000 0.773 0.554
## .B3_PE2_WrtFstr 0.714 0.051 13.875 0.000 0.714 0.341
## .B3_PE3_IncPrdc 0.731 0.057 12.908 0.000 0.731 0.405
## .B3_PE4_IncPbCh 1.009 0.078 12.971 0.000 1.009 0.707
## .B3_PE5_PosPR 0.945 0.068 13.814 0.000 0.945 0.664
## .B3_PE6_EasrWrt 0.456 0.036 12.834 0.000 0.456 0.263
## .B3_PE7_ImprvQl 0.559 0.039 14.446 0.000 0.559 0.399
## .B3_PE8_MrEffcn 0.437 0.036 12.311 0.000 0.437 0.251
## .B3_PE9_IncQlSE 0.626 0.054 11.660 0.000 0.626 0.355
## .B3_EE1_EasyTUs 0.455 0.036 12.516 0.000 0.455 0.295
## .B3_EE2_ClrUndr 0.383 0.033 11.603 0.000 0.383 0.341
## .B3_EE3_BcmSkll 0.632 0.046 13.632 0.000 0.632 0.542
## .B3_EE4_ToMchTm 1.151 0.078 14.840 0.000 1.151 0.555
## .B3_EE5_TCmplct 0.685 0.083 8.208 0.000 0.685 0.460
## .B3_EE6_TLngTLr 0.898 0.092 9.756 0.000 0.898 0.515
## .B3_FC1_Knowldg 0.579 0.047 12.244 0.000 0.579 0.683
## .B3_FC2_WrkflwC 0.583 0.068 8.575 0.000 0.583 0.448
## .B3_FC3_EasyTUs 0.347 0.042 8.166 0.000 0.347 0.275
## .B3_FC4_FtsWlWW 0.650 0.060 10.806 0.000 0.650 0.419
## .B3_SI1_Peers 0.405 0.047 8.702 0.000 0.405 0.242
## .B3_SI2_ResClmt 0.959 0.079 12.164 0.000 0.959 0.594
## .B3_SI3_Superrs 0.606 0.080 7.590 0.000 0.606 0.307
## .B3_SI4_Journls 0.841 0.072 11.709 0.000 0.841 0.777
## .B3_SI5_Field 1.346 0.096 13.955 0.000 1.346 0.699
## .B3_BehIntUse 0.824 0.058 14.094 0.000 0.824 0.477
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B3_PE1_Useful 0.446
## B3_PE2_WrtFstr 0.659
## B3_PE3_IncPrdc 0.595
## B3_PE4_IncPbCh 0.293
## B3_PE5_PosPR 0.336
## B3_PE6_EasrWrt 0.737
## B3_PE7_ImprvQl 0.601
## B3_PE8_MrEffcn 0.749
## B3_PE9_IncQlSE 0.645
## B3_EE1_EasyTUs 0.705
## B3_EE2_ClrUndr 0.659
## B3_EE3_BcmSkll 0.458
## B3_EE4_ToMchTm 0.445
## B3_EE5_TCmplct 0.540
## B3_EE6_TLngTLr 0.485
## B3_FC1_Knowldg 0.317
## B3_FC2_WrkflwC 0.552
## B3_FC3_EasyTUs 0.725
## B3_FC4_FtsWlWW 0.581
## B3_SI1_Peers 0.758
## B3_SI2_ResClmt 0.406
## B3_SI3_Superrs 0.693
## B3_SI4_Journls 0.223
## B3_SI5_Field 0.301
## B3_BehIntUse 0.523B3model3factor2 <-
'PE =~ B3_PE1_Useful + B3_PE2_WriteFaster + B3_PE3_IncProductivity + B3_PE4_IncPubChances + B3_PE5_PosPR + B3_PE6_EasierWrite + B3_PE7_ImproveQuality + B3_PE8_MoreEfficient + B3_PE9_IncQualSameEffort
EEFC=~ B3_EE1_EasyToUse + B3_EE2_ClearUnderstandable + B3_EE3_BecomeSkillful + B3_EE4_TooMuchTime + B3_EE5_TooComplicated + B3_EE6_TooLongToLearn + B3_FC1_Knowledge + B3_FC2_WorkflowCompatibility + B3_FC4_FitsWellWithWork
SI=~ B3_SI1_Peers + B3_SI2_ResClimate + B3_SI3_Superiors + B3_SI4_Journals + B3_SI5_Field
B3_BehIntUse ~ PE + EEFC + SI
B3_EE5_TooComplicated ~~ B3_EE6_TooLongToLearn
B3_EE5_TooComplicated ~~ B3_EE4_TooMuchTime
B3_EE4_TooMuchTime ~~ B3_EE6_TooLongToLearn
B3_PE4_IncPubChances ~~ B3_PE5_PosPR
'
#fit the model
fitB3.3fac2mod <- cfa(model = B3model3factor2,
data = B3likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM")
#display the summary output
summary(fitB3.3fac2mod, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 29 iterations
##
## Optimization method NLMINB
## Number of free parameters 81
##
## Number of observations 635
##
## Estimator ML Robust
## Model Fit Test Statistic 1388.912 1072.234
## Degrees of freedom 243 243
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.295
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 10275.167 6593.919
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.885 0.869
## Tucker-Lewis Index (TLI) 0.870 0.851
##
## Robust Comparative Fit Index (CFI) 0.891
## Robust Tucker-Lewis Index (TLI) 0.876
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -20438.061 -20438.061
## Loglikelihood unrestricted model (H1) -19743.605 -19743.605
##
## Number of free parameters 81 81
## Akaike (AIC) 41038.123 41038.123
## Bayesian (BIC) 41398.866 41398.866
## Sample-size adjusted Bayesian (BIC) 41141.699 41141.699
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.086 0.073
## 90 Percent Confidence Interval 0.082 0.091 0.069 0.077
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.083
## 90 Percent Confidence Interval 0.078 0.089
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.074 0.074
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B3_PE1_Useful 0.786 0.058 13.432 0.000 0.786 0.665
## B3_PE2_WrtFstr 1.185 0.041 28.939 0.000 1.185 0.818
## B3_PE3_IncPrdc 1.040 0.044 23.641 0.000 1.040 0.774
## B3_PE4_IncPbCh 0.612 0.055 11.093 0.000 0.612 0.512
## B3_PE5_PosPR 0.661 0.053 12.382 0.000 0.661 0.554
## B3_PE6_EasrWrt 1.138 0.044 26.134 0.000 1.138 0.864
## B3_PE7_ImprvQl 0.908 0.056 16.362 0.000 0.908 0.768
## B3_PE8_MrEffcn 1.147 0.044 26.325 0.000 1.147 0.869
## B3_PE9_IncQlSE 1.068 0.047 22.949 0.000 1.068 0.804
## EEFC =~
## B3_EE1_EasyTUs 1.043 0.048 21.852 0.000 1.043 0.840
## B3_EE2_ClrUndr 0.863 0.047 18.416 0.000 0.863 0.814
## B3_EE3_BcmSkll 0.749 0.049 15.331 0.000 0.749 0.693
## B3_EE4_ToMchTm 0.887 0.051 17.421 0.000 0.887 0.616
## B3_EE5_TCmplct 0.810 0.053 15.304 0.000 0.810 0.664
## B3_EE6_TLngTLr 0.816 0.054 15.010 0.000 0.816 0.618
## B3_FC1_Knowldg 0.517 0.047 10.957 0.000 0.517 0.562
## B3_FC2_WrkflwC 0.865 0.050 17.175 0.000 0.865 0.758
## B3_FC4_FtsWlWW 0.963 0.045 21.445 0.000 0.963 0.773
## SI =~
## B3_SI1_Peers 1.127 0.044 25.421 0.000 1.127 0.871
## B3_SI2_ResClmt 0.810 0.054 15.091 0.000 0.810 0.637
## B3_SI3_Superrs 1.169 0.050 23.477 0.000 1.169 0.832
## B3_SI4_Journls 0.491 0.051 9.553 0.000 0.491 0.472
## B3_SI5_Field 0.760 0.060 12.771 0.000 0.760 0.548
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B3_BehIntUse ~
## PE 0.525 0.071 7.440 0.000 0.525 0.399
## EEFC 0.296 0.068 4.343 0.000 0.296 0.225
## SI 0.312 0.052 5.991 0.000 0.312 0.238
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B3_EE5_TooComplicated ~~
## .B3_EE6_TLngTLr 0.652 0.104 6.266 0.000 0.652
## .B3_EE4_TooMuchTime ~~
## .B3_EE5_TCmplct 0.433 0.090 4.802 0.000 0.433
## .B3_EE6_TLngTLr 0.549 0.095 5.762 0.000 0.549
## .B3_PE4_IncPubChances ~~
## .B3_PE5_PosPR 0.638 0.068 9.311 0.000 0.638
## PE ~~
## EEFC 0.628 0.032 19.746 0.000 0.628
## SI 0.497 0.038 12.933 0.000 0.497
## EEFC ~~
## SI 0.428 0.040 10.578 0.000 0.428
## Std.all
##
## 0.688
##
## 0.419
## 0.466
##
## 0.626
##
## 0.628
## 0.497
##
## 0.428
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 5.636 0.047 120.173 0.000 5.636 4.769
## .B3_PE2_WrtFstr 4.430 0.057 77.086 0.000 4.430 3.059
## .B3_PE3_IncPrdc 4.113 0.053 77.163 0.000 4.113 3.062
## .B3_PE4_IncPbCh 5.302 0.047 111.864 0.000 5.302 4.439
## .B3_PE5_PosPR 5.117 0.047 108.097 0.000 5.117 4.290
## .B3_PE6_EasrWrt 4.806 0.052 91.972 0.000 4.806 3.650
## .B3_PE7_ImprvQl 5.576 0.047 118.758 0.000 5.576 4.713
## .B3_PE8_MrEffcn 4.789 0.052 91.452 0.000 4.789 3.629
## .B3_PE9_IncQlSE 4.631 0.053 87.888 0.000 4.631 3.488
## .B3_EE1_EasyTUs 5.213 0.049 105.826 0.000 5.213 4.200
## .B3_EE2_ClrUndr 5.504 0.042 130.913 0.000 5.504 5.195
## .B3_EE3_BcmSkll 5.351 0.043 124.855 0.000 5.351 4.955
## .B3_EE4_ToMchTm 4.699 0.057 82.271 0.000 4.699 3.265
## .B3_EE5_TCmplct 5.506 0.048 113.741 0.000 5.506 4.514
## .B3_EE6_TLngTLr 5.394 0.052 102.914 0.000 5.394 4.084
## .B3_FC1_Knowldg 5.890 0.037 161.200 0.000 5.890 6.397
## .B3_FC2_WrkflwC 5.469 0.045 120.830 0.000 5.469 4.795
## .B3_FC4_FtsWlWW 5.164 0.049 104.479 0.000 5.164 4.146
## .B3_SI1_Peers 4.613 0.051 89.849 0.000 4.613 3.566
## .B3_SI2_ResClmt 5.112 0.050 101.385 0.000 5.112 4.023
## .B3_SI3_Superrs 4.452 0.056 79.855 0.000 4.452 3.169
## .B3_SI4_Journls 5.625 0.041 136.300 0.000 5.625 5.409
## .B3_SI5_Field 4.476 0.055 81.287 0.000 4.476 3.226
## .B3_BehIntUse 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 0.780 0.080 9.755 0.000 0.780 0.558
## .B3_PE2_WrtFstr 0.693 0.051 13.663 0.000 0.693 0.331
## .B3_PE3_IncPrdc 0.722 0.057 12.714 0.000 0.722 0.400
## .B3_PE4_IncPbCh 1.052 0.080 13.091 0.000 1.052 0.738
## .B3_PE5_PosPR 0.986 0.071 13.926 0.000 0.986 0.693
## .B3_PE6_EasrWrt 0.440 0.035 12.588 0.000 0.440 0.254
## .B3_PE7_ImprvQl 0.575 0.040 14.503 0.000 0.575 0.411
## .B3_PE8_MrEffcn 0.425 0.035 12.171 0.000 0.425 0.244
## .B3_PE9_IncQlSE 0.623 0.054 11.537 0.000 0.623 0.354
## .B3_EE1_EasyTUs 0.453 0.040 11.306 0.000 0.453 0.294
## .B3_EE2_ClrUndr 0.378 0.036 10.400 0.000 0.378 0.337
## .B3_EE3_BcmSkll 0.606 0.048 12.640 0.000 0.606 0.520
## .B3_EE4_ToMchTm 1.284 0.096 13.393 0.000 1.284 0.620
## .B3_EE5_TCmplct 0.832 0.103 8.057 0.000 0.832 0.559
## .B3_EE6_TLngTLr 1.079 0.113 9.524 0.000 1.079 0.618
## .B3_FC1_Knowldg 0.580 0.047 12.230 0.000 0.580 0.685
## .B3_FC2_WrkflwC 0.553 0.066 8.435 0.000 0.553 0.425
## .B3_FC4_FtsWlWW 0.623 0.058 10.755 0.000 0.623 0.402
## .B3_SI1_Peers 0.404 0.046 8.693 0.000 0.404 0.241
## .B3_SI2_ResClmt 0.959 0.079 12.166 0.000 0.959 0.594
## .B3_SI3_Superrs 0.606 0.080 7.590 0.000 0.606 0.307
## .B3_SI4_Journls 0.841 0.072 11.712 0.000 0.841 0.777
## .B3_SI5_Field 1.347 0.097 13.959 0.000 1.347 0.700
## .B3_BehIntUse 0.831 0.059 14.167 0.000 0.831 0.481
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B3_PE1_Useful 0.442
## B3_PE2_WrtFstr 0.669
## B3_PE3_IncPrdc 0.600
## B3_PE4_IncPbCh 0.262
## B3_PE5_PosPR 0.307
## B3_PE6_EasrWrt 0.746
## B3_PE7_ImprvQl 0.589
## B3_PE8_MrEffcn 0.756
## B3_PE9_IncQlSE 0.646
## B3_EE1_EasyTUs 0.706
## B3_EE2_ClrUndr 0.663
## B3_EE3_BcmSkll 0.480
## B3_EE4_ToMchTm 0.380
## B3_EE5_TCmplct 0.441
## B3_EE6_TLngTLr 0.382
## B3_FC1_Knowldg 0.315
## B3_FC2_WrkflwC 0.575
## B3_FC4_FtsWlWW 0.598
## B3_SI1_Peers 0.759
## B3_SI2_ResClmt 0.406
## B3_SI3_Superrs 0.693
## B3_SI4_Journls 0.223
## B3_SI5_Field 0.300
## B3_BehIntUse 0.519B3model3factordropfc3 <-
'PE =~ B3_PE1_Useful + B3_PE2_WriteFaster + B3_PE3_IncProductivity + B3_PE4_IncPubChances + B3_PE5_PosPR + B3_PE6_EasierWrite + B3_PE7_ImproveQuality + B3_PE8_MoreEfficient + B3_PE9_IncQualSameEffort
EEFC=~ B3_EE1_EasyToUse + B3_EE2_ClearUnderstandable + B3_EE3_BecomeSkillful + B3_EE4_TooMuchTime + B3_EE5_TooComplicated + B3_EE6_TooLongToLearn + B3_FC1_Knowledge + B3_FC2_WorkflowCompatibility + B3_FC4_FitsWellWithWork
SI=~ B3_SI1_Peers + B3_SI2_ResClimate + B3_SI3_Superiors + B3_SI4_Journals + B3_SI5_Field
B3_BehIntUse ~ PE + EEFC + SI
'
#fit the model
fitB3.3facdropfc3 <- cfa(model = B3model3factordropfc3,
data = B3likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM")
#display the summary output
summary(fitB3.3facdropfc3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 23 iterations
##
## Optimization method NLMINB
## Number of free parameters 77
##
## Number of observations 635
##
## Estimator ML Robust
## Model Fit Test Statistic 2177.347 1631.759
## Degrees of freedom 247 247
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.334
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 10275.167 6593.919
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.807 0.781
## Tucker-Lewis Index (TLI) 0.784 0.755
##
## Robust Comparative Fit Index (CFI) 0.812
## Robust Tucker-Lewis Index (TLI) 0.790
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -20832.279 -20832.279
## Loglikelihood unrestricted model (H1) -19743.605 -19743.605
##
## Number of free parameters 77 77
## Akaike (AIC) 41818.557 41818.557
## Bayesian (BIC) 42161.487 42161.487
## Sample-size adjusted Bayesian (BIC) 41917.019 41917.019
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.111 0.094
## 90 Percent Confidence Interval 0.107 0.115 0.090 0.098
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.109
## 90 Percent Confidence Interval 0.104 0.114
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.085 0.085
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B3_PE1_Useful 0.790 0.058 13.588 0.000 0.790 0.668
## B3_PE2_WrtFstr 1.176 0.041 28.494 0.000 1.176 0.812
## B3_PE3_IncPrdc 1.036 0.044 23.590 0.000 1.036 0.771
## B3_PE4_IncPbCh 0.646 0.054 11.878 0.000 0.646 0.541
## B3_PE5_PosPR 0.691 0.052 13.199 0.000 0.691 0.580
## B3_PE6_EasrWrt 1.130 0.044 25.886 0.000 1.130 0.858
## B3_PE7_ImprvQl 0.917 0.055 16.582 0.000 0.917 0.775
## B3_PE8_MrEffcn 1.142 0.044 26.118 0.000 1.142 0.865
## B3_PE9_IncQlSE 1.067 0.046 22.996 0.000 1.067 0.803
## EEFC =~
## B3_EE1_EasyTUs 1.018 0.048 21.051 0.000 1.018 0.820
## B3_EE2_ClrUndr 0.843 0.047 17.908 0.000 0.843 0.795
## B3_EE3_BcmSkll 0.728 0.049 14.854 0.000 0.728 0.674
## B3_EE4_ToMchTm 0.995 0.044 22.573 0.000 0.995 0.691
## B3_EE5_TCmplct 0.918 0.045 20.606 0.000 0.918 0.753
## B3_EE6_TLngTLr 0.951 0.046 20.772 0.000 0.951 0.720
## B3_FC1_Knowldg 0.523 0.047 11.146 0.000 0.523 0.568
## B3_FC2_WrkflwC 0.849 0.051 16.664 0.000 0.849 0.744
## B3_FC4_FtsWlWW 0.934 0.046 20.377 0.000 0.934 0.750
## SI =~
## B3_SI1_Peers 1.127 0.044 25.383 0.000 1.127 0.871
## B3_SI2_ResClmt 0.809 0.054 15.045 0.000 0.809 0.637
## B3_SI3_Superrs 1.170 0.050 23.499 0.000 1.170 0.833
## B3_SI4_Journls 0.490 0.051 9.529 0.000 0.490 0.471
## B3_SI5_Field 0.760 0.060 12.772 0.000 0.760 0.548
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B3_BehIntUse ~
## PE 0.529 0.067 7.888 0.000 0.529 0.402
## EEFC 0.320 0.062 5.191 0.000 0.320 0.243
## SI 0.302 0.052 5.820 0.000 0.302 0.230
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EEFC 0.590 0.034 17.589 0.000 0.590 0.590
## SI 0.509 0.037 13.623 0.000 0.509 0.509
## EEFC ~~
## SI 0.401 0.041 9.740 0.000 0.401 0.401
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 5.636 0.047 120.173 0.000 5.636 4.769
## .B3_PE2_WrtFstr 4.430 0.057 77.086 0.000 4.430 3.059
## .B3_PE3_IncPrdc 4.113 0.053 77.163 0.000 4.113 3.062
## .B3_PE4_IncPbCh 5.302 0.047 111.864 0.000 5.302 4.439
## .B3_PE5_PosPR 5.117 0.047 108.097 0.000 5.117 4.290
## .B3_PE6_EasrWrt 4.806 0.052 91.972 0.000 4.806 3.650
## .B3_PE7_ImprvQl 5.576 0.047 118.758 0.000 5.576 4.713
## .B3_PE8_MrEffcn 4.789 0.052 91.452 0.000 4.789 3.629
## .B3_PE9_IncQlSE 4.631 0.053 87.888 0.000 4.631 3.488
## .B3_EE1_EasyTUs 5.213 0.049 105.826 0.000 5.213 4.200
## .B3_EE2_ClrUndr 5.504 0.042 130.913 0.000 5.504 5.195
## .B3_EE3_BcmSkll 5.351 0.043 124.855 0.000 5.351 4.955
## .B3_EE4_ToMchTm 4.699 0.057 82.271 0.000 4.699 3.265
## .B3_EE5_TCmplct 5.506 0.048 113.741 0.000 5.506 4.514
## .B3_EE6_TLngTLr 5.394 0.052 102.914 0.000 5.394 4.084
## .B3_FC1_Knowldg 5.890 0.037 161.200 0.000 5.890 6.397
## .B3_FC2_WrkflwC 5.469 0.045 120.830 0.000 5.469 4.795
## .B3_FC4_FtsWlWW 5.164 0.049 104.479 0.000 5.164 4.146
## .B3_SI1_Peers 4.613 0.051 89.849 0.000 4.613 3.566
## .B3_SI2_ResClmt 5.112 0.050 101.385 0.000 5.112 4.023
## .B3_SI3_Superrs 4.452 0.056 79.855 0.000 4.452 3.169
## .B3_SI4_Journls 5.625 0.041 136.300 0.000 5.625 5.409
## .B3_SI5_Field 4.476 0.055 81.287 0.000 4.476 3.226
## .B3_BehIntUse 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B3_PE1_Useful 0.773 0.079 9.750 0.000 0.773 0.553
## .B3_PE2_WrtFstr 0.714 0.051 13.887 0.000 0.714 0.341
## .B3_PE3_IncPrdc 0.731 0.057 12.918 0.000 0.731 0.405
## .B3_PE4_IncPbCh 1.009 0.078 12.979 0.000 1.009 0.707
## .B3_PE5_PosPR 0.945 0.068 13.820 0.000 0.945 0.664
## .B3_PE6_EasrWrt 0.456 0.036 12.852 0.000 0.456 0.263
## .B3_PE7_ImprvQl 0.558 0.039 14.419 0.000 0.558 0.399
## .B3_PE8_MrEffcn 0.437 0.036 12.292 0.000 0.437 0.251
## .B3_PE9_IncQlSE 0.626 0.054 11.659 0.000 0.626 0.355
## .B3_EE1_EasyTUs 0.504 0.041 12.211 0.000 0.504 0.327
## .B3_EE2_ClrUndr 0.412 0.037 11.132 0.000 0.412 0.367
## .B3_EE3_BcmSkll 0.637 0.047 13.576 0.000 0.637 0.546
## .B3_EE4_ToMchTm 1.083 0.073 14.896 0.000 1.083 0.523
## .B3_EE5_TCmplct 0.645 0.075 8.548 0.000 0.645 0.434
## .B3_EE6_TLngTLr 0.840 0.084 10.043 0.000 0.840 0.482
## .B3_FC1_Knowldg 0.574 0.047 12.176 0.000 0.574 0.677
## .B3_FC2_WrkflwC 0.580 0.067 8.621 0.000 0.580 0.446
## .B3_FC4_FtsWlWW 0.679 0.060 11.335 0.000 0.679 0.437
## .B3_SI1_Peers 0.404 0.047 8.689 0.000 0.404 0.242
## .B3_SI2_ResClmt 0.960 0.079 12.170 0.000 0.960 0.595
## .B3_SI3_Superrs 0.605 0.080 7.574 0.000 0.605 0.306
## .B3_SI4_Journls 0.841 0.072 11.708 0.000 0.841 0.778
## .B3_SI5_Field 1.347 0.096 13.958 0.000 1.347 0.700
## .B3_BehIntUse 0.816 0.059 13.919 0.000 0.816 0.472
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B3_PE1_Useful 0.447
## B3_PE2_WrtFstr 0.659
## B3_PE3_IncPrdc 0.595
## B3_PE4_IncPbCh 0.293
## B3_PE5_PosPR 0.336
## B3_PE6_EasrWrt 0.737
## B3_PE7_ImprvQl 0.601
## B3_PE8_MrEffcn 0.749
## B3_PE9_IncQlSE 0.645
## B3_EE1_EasyTUs 0.673
## B3_EE2_ClrUndr 0.633
## B3_EE3_BcmSkll 0.454
## B3_EE4_ToMchTm 0.477
## B3_EE5_TCmplct 0.566
## B3_EE6_TLngTLr 0.518
## B3_FC1_Knowldg 0.323
## B3_FC2_WrkflwC 0.554
## B3_FC4_FtsWlWW 0.563
## B3_SI1_Peers 0.758
## B3_SI2_ResClmt 0.405
## B3_SI3_Superrs 0.694
## B3_SI4_Journls 0.222
## B3_SI5_Field 0.300
## B3_BehIntUse 0.528##B2 Completers CFA
B2model <- #basic model
'PE =~ B2_PE1_Useful + B2_PE2_WriteFaster + B2_PE3_IncProductivity + B2_PE4_IncPubChances + B2_PE5_PosPR + B2_PE6_EasierWrite + B2_PE7_ImproveQuality + B2_PE8_MoreEfficient + B2_PE9_IncQualSameEffort
EE=~ B2_EE1_EasyToUse + B2_EE2_ClearUnderstandable + B2_EE3_BecomeSkillful + B2_EE4_TooMuchTime + B2_EE5_TooComplicated + B2_EE6_TooLongToLearn
SI=~ B2_SI1_Peers + B2_SI2_ResClimate + B2_SI3_Superiors + B2_SI4_Journals + B2_SI5_Field
FC=~ B2_FC1_Knowledge + B2_FC2_WorkflowCompatibility + B2_FC3_EasyToUse + B2_FC4_FitsWellWithWork
B2_BehIntUse ~ PE + EE + SI + FC
'
#fit the model
fitB2 <- cfa(model = B2model, data = B2likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB2, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 38 iterations
##
## Optimization method NLMINB
## Number of free parameters 84
##
## Number of observations 185
##
## Estimator ML Robust
## Model Fit Test Statistic 899.746 730.552
## Degrees of freedom 266 266
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.232
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3581.712 2648.223
## Degrees of freedom 300 300
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.807 0.802
## Tucker-Lewis Index (TLI) 0.782 0.777
##
## Robust Comparative Fit Index (CFI) 0.820
## Robust Tucker-Lewis Index (TLI) 0.797
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -6068.865 -6068.865
## Loglikelihood unrestricted model (H1) -5618.993 -5618.993
##
## Number of free parameters 84 84
## Akaike (AIC) 12305.731 12305.731
## Bayesian (BIC) 12576.241 12576.241
## Sample-size adjusted Bayesian (BIC) 12310.187 12310.187
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.113 0.097
## 90 Percent Confidence Interval 0.105 0.122 0.090 0.105
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.108
## 90 Percent Confidence Interval 0.099 0.117
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.085 0.085
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B2_PE1_Useful 0.873 0.096 9.135 0.000 0.873 0.709
## B2_PE2_WrtFstr 0.907 0.079 11.548 0.000 0.907 0.806
## B2_PE3_IncPrdc 0.836 0.071 11.782 0.000 0.836 0.807
## B2_PE4_IncPbCh 0.857 0.090 9.487 0.000 0.857 0.731
## B2_PE5_PosPR 0.798 0.090 8.823 0.000 0.798 0.705
## B2_PE6_EasrWrt 0.972 0.075 12.910 0.000 0.972 0.856
## B2_PE7_ImprvQl 0.810 0.097 8.340 0.000 0.810 0.688
## B2_PE8_MrEffcn 1.032 0.076 13.655 0.000 1.032 0.868
## B2_PE9_IncQlSE 0.962 0.071 13.583 0.000 0.962 0.832
## EE =~
## B2_EE1_EasyTUs 0.747 0.074 10.080 0.000 0.747 0.759
## B2_EE2_ClrUndr 0.891 0.069 12.843 0.000 0.891 0.823
## B2_EE3_BcmSkll 0.844 0.069 12.281 0.000 0.844 0.781
## B2_EE4_ToMchTm 0.609 0.097 6.307 0.000 0.609 0.534
## B2_EE5_TCmplct 0.772 0.085 9.127 0.000 0.772 0.660
## B2_EE6_TLngTLr 0.716 0.087 8.236 0.000 0.716 0.636
## SI =~
## B2_SI1_Peers 1.241 0.073 16.928 0.000 1.241 0.907
## B2_SI2_ResClmt 0.788 0.103 7.679 0.000 0.788 0.562
## B2_SI3_Superrs 1.231 0.084 14.736 0.000 1.231 0.890
## B2_SI4_Journls 0.567 0.094 6.011 0.000 0.567 0.463
## B2_SI5_Field 0.703 0.091 7.700 0.000 0.703 0.554
## FC =~
## B2_FC1_Knowldg 0.856 0.107 8.035 0.000 0.856 0.523
## B2_FC2_WrkflwC 0.939 0.083 11.320 0.000 0.939 0.749
## B2_FC3_EasyTUs 0.916 0.070 13.157 0.000 0.916 0.862
## B2_FC4_FtsWlWW 0.982 0.074 13.287 0.000 0.982 0.830
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B2_BehIntUse ~
## PE 0.481 0.150 3.210 0.001 0.481 0.318
## EE -0.161 0.322 -0.501 0.617 -0.161 -0.107
## SI 0.093 0.103 0.903 0.367 0.093 0.061
## FC 0.870 0.386 2.255 0.024 0.870 0.575
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EE 0.581 0.050 11.531 0.000 0.581 0.581
## SI 0.559 0.052 10.732 0.000 0.559 0.559
## FC 0.705 0.050 14.233 0.000 0.705 0.705
## EE ~~
## SI 0.378 0.073 5.187 0.000 0.378 0.378
## FC 0.912 0.038 24.013 0.000 0.912 0.912
## SI ~~
## FC 0.436 0.090 4.834 0.000 0.436 0.436
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 4.530 0.090 50.072 0.000 4.530 3.681
## .B2_PE2_WrtFstr 3.811 0.083 46.050 0.000 3.811 3.386
## .B2_PE3_IncPrdc 3.751 0.076 49.251 0.000 3.751 3.621
## .B2_PE4_IncPbCh 4.530 0.086 52.572 0.000 4.530 3.865
## .B2_PE5_PosPR 4.573 0.083 54.923 0.000 4.573 4.038
## .B2_PE6_EasrWrt 4.049 0.083 48.493 0.000 4.049 3.565
## .B2_PE7_ImprvQl 4.859 0.087 56.150 0.000 4.859 4.128
## .B2_PE8_MrEffcn 4.308 0.087 49.292 0.000 4.308 3.624
## .B2_PE9_IncQlSE 4.178 0.085 49.174 0.000 4.178 3.615
## .B2_EE1_EasyTUs 4.065 0.072 56.172 0.000 4.065 4.130
## .B2_EE2_ClrUndr 4.422 0.080 55.515 0.000 4.422 4.082
## .B2_EE3_BcmSkll 4.605 0.079 57.945 0.000 4.605 4.260
## .B2_EE4_ToMchTm 3.778 0.084 45.128 0.000 3.778 3.318
## .B2_EE5_TCmplct 4.373 0.086 50.835 0.000 4.373 3.737
## .B2_EE6_TLngTLr 4.141 0.083 50.038 0.000 4.141 3.679
## .B2_SI1_Peers 3.465 0.101 34.459 0.000 3.465 2.533
## .B2_SI2_ResClmt 4.157 0.103 40.281 0.000 4.157 2.962
## .B2_SI3_Superrs 3.308 0.102 32.553 0.000 3.308 2.393
## .B2_SI4_Journls 4.530 0.090 50.252 0.000 4.530 3.695
## .B2_SI5_Field 3.773 0.093 40.403 0.000 3.773 2.970
## .B2_FC1_Knowldg 4.211 0.120 34.951 0.000 4.211 2.570
## .B2_FC2_WrkflwC 4.362 0.092 47.329 0.000 4.362 3.480
## .B2_FC3_EasyTUs 4.297 0.078 55.038 0.000 4.297 4.046
## .B2_FC4_FtsWlWW 4.276 0.087 49.156 0.000 4.276 3.614
## .B2_BehIntUse 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 0.752 0.110 6.871 0.000 0.752 0.497
## .B2_PE2_WrtFstr 0.444 0.065 6.819 0.000 0.444 0.350
## .B2_PE3_IncPrdc 0.375 0.048 7.754 0.000 0.375 0.349
## .B2_PE4_IncPbCh 0.639 0.076 8.440 0.000 0.639 0.465
## .B2_PE5_PosPR 0.645 0.079 8.191 0.000 0.645 0.503
## .B2_PE6_EasrWrt 0.345 0.044 7.815 0.000 0.345 0.268
## .B2_PE7_ImprvQl 0.730 0.087 8.368 0.000 0.730 0.527
## .B2_PE8_MrEffcn 0.348 0.048 7.280 0.000 0.348 0.246
## .B2_PE9_IncQlSE 0.410 0.071 5.740 0.000 0.410 0.307
## .B2_EE1_EasyTUs 0.410 0.051 7.967 0.000 0.410 0.423
## .B2_EE2_ClrUndr 0.379 0.070 5.442 0.000 0.379 0.323
## .B2_EE3_BcmSkll 0.457 0.073 6.226 0.000 0.457 0.391
## .B2_EE4_ToMchTm 0.926 0.124 7.473 0.000 0.926 0.714
## .B2_EE5_TCmplct 0.772 0.127 6.092 0.000 0.772 0.564
## .B2_EE6_TLngTLr 0.754 0.106 7.121 0.000 0.754 0.595
## .B2_SI1_Peers 0.330 0.078 4.218 0.000 0.330 0.177
## .B2_SI2_ResClmt 1.348 0.150 8.995 0.000 1.348 0.684
## .B2_SI3_Superrs 0.396 0.117 3.400 0.001 0.396 0.207
## .B2_SI4_Journls 1.181 0.120 9.860 0.000 1.181 0.786
## .B2_SI5_Field 1.119 0.138 8.095 0.000 1.119 0.693
## .B2_FC1_Knowldg 1.952 0.204 9.567 0.000 1.952 0.727
## .B2_FC2_WrkflwC 0.690 0.109 6.324 0.000 0.690 0.439
## .B2_FC3_EasyTUs 0.289 0.054 5.389 0.000 0.289 0.256
## .B2_FC4_FtsWlWW 0.435 0.076 5.707 0.000 0.435 0.311
## .B2_BehIntUse 0.911 0.108 8.441 0.000 0.911 0.399
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B2_PE1_Useful 0.503
## B2_PE2_WrtFstr 0.650
## B2_PE3_IncPrdc 0.651
## B2_PE4_IncPbCh 0.535
## B2_PE5_PosPR 0.497
## B2_PE6_EasrWrt 0.732
## B2_PE7_ImprvQl 0.473
## B2_PE8_MrEffcn 0.754
## B2_PE9_IncQlSE 0.693
## B2_EE1_EasyTUs 0.577
## B2_EE2_ClrUndr 0.677
## B2_EE3_BcmSkll 0.609
## B2_EE4_ToMchTm 0.286
## B2_EE5_TCmplct 0.436
## B2_EE6_TLngTLr 0.405
## B2_SI1_Peers 0.823
## B2_SI2_ResClmt 0.316
## B2_SI3_Superrs 0.793
## B2_SI4_Journls 0.214
## B2_SI5_Field 0.307
## B2_FC1_Knowldg 0.273
## B2_FC2_WrkflwC 0.561
## B2_FC3_EasyTUs 0.744
## B2_FC4_FtsWlWW 0.689
## B2_BehIntUse 0.601#pretty formatted table
library(dplyr)
library(tidyr)
parameterEstimates(fitB2, standardized = TRUE) %>%
filter(op == "=~") %>% # =~ means "is measured by"
select('Latent Factor' = lhs, Indicator = rhs, B = est, SE = se, Z = z, 'p-value'= pvalue, Beta = std.all) %>%
kable(digits = 3, format = "pandoc", caption = "Factor Loadings")| Latent Factor | Indicator | B | SE | Z | p-value | Beta |
|---|---|---|---|---|---|---|
| PE | B2_PE1_Useful | 0.8726496 | 0.0955304 | 9.134785 | 0 | 0.7092173 |
| PE | B2_PE2_WriteFaster | 0.9073873 | 0.0785768 | 11.547783 | 0 | 0.8061564 |
| PE | B2_PE3_IncProductivity | 0.8356156 | 0.0709206 | 11.782416 | 0 | 0.8065736 |
| PE | B2_PE4_IncPubChances | 0.8568069 | 0.0903099 | 9.487405 | 0 | 0.7311015 |
| PE | B2_PE5_PosPR | 0.7981764 | 0.0904630 | 8.823236 | 0 | 0.7048029 |
| PE | B2_PE6_EasierWrite | 0.9717985 | 0.0752754 | 12.909907 | 0 | 0.8557776 |
| PE | B2_PE7_ImproveQuality | 0.8095258 | 0.0970660 | 8.339950 | 0 | 0.6877063 |
| PE | B2_PE8_MoreEfficient | 1.0323122 | 0.0756012 | 13.654715 | 0 | 0.8683853 |
| PE | B2_PE9_IncQualSameEffort | 0.9620673 | 0.0708289 | 13.582981 | 0 | 0.8324212 |
| EE | B2_EE1_EasyToUse | 0.7473549 | 0.0741424 | 10.079992 | 0 | 0.7593073 |
| EE | B2_EE2_ClearUnderstandable | 0.8912533 | 0.0693981 | 12.842610 | 0 | 0.8227038 |
| EE | B2_EE3_BecomeSkillful | 0.8438117 | 0.0687097 | 12.280826 | 0 | 0.7805651 |
| EE | B2_EE4_TooMuchTime | 0.6086585 | 0.0965009 | 6.307283 | 0 | 0.5344811 |
| EE | B2_EE5_TooComplicated | 0.7723687 | 0.0846220 | 9.127283 | 0 | 0.6601200 |
| EE | B2_EE6_TooLongToLearn | 0.7160804 | 0.0869496 | 8.235580 | 0 | 0.6362369 |
| SI | B2_SI1_Peers | 1.2410468 | 0.0733112 | 16.928482 | 0 | 0.9074479 |
| SI | B2_SI2_ResClimate | 0.7884908 | 0.1026873 | 7.678565 | 0 | 0.5617731 |
| SI | B2_SI3_Superiors | 1.2305908 | 0.0835114 | 14.735605 | 0 | 0.8903120 |
| SI | B2_SI4_Journals | 0.5674282 | 0.0944006 | 6.010853 | 0 | 0.4628145 |
| SI | B2_SI5_Field | 0.7034197 | 0.0913553 | 7.699821 | 0 | 0.5538007 |
| FC | B2_FC1_Knowledge | 0.8564463 | 0.1065913 | 8.034857 | 0 | 0.5226421 |
| FC | B2_FC2_WorkflowCompatibility | 0.9387824 | 0.0829292 | 11.320294 | 0 | 0.7488617 |
| FC | B2_FC3_EasyToUse | 0.9158735 | 0.0696094 | 13.157317 | 0 | 0.8624094 |
| FC | B2_FC4_FitsWellWithWork | 0.9822809 | 0.0739260 | 13.287348 | 0 | 0.8302737 |
#correlation matrix
library(corrgram)
corrgram(B2likert, order = NULL, lower.panel = panel.shade,
upper.panel = NULL, text.panel = panel.txt, label.srt = TRUE,
main = "Subgroup 2 Correlation Matrix")## Warning in cor(x, use = "pairwise.complete.obs", method = cor.method): the
## standard deviation is zero## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
#look into the modification indices to see if there are certain variables that really should be collapsed. If you add something to the model then you rerun it and compare it to the old one using anova.
modificationindices(fitB2, sort = TRUE)## lhs op rhs mi
## 399 B2_EE5_TooComplicated ~~ B2_EE6_TooLongToLearn 74.907
## 234 B2_PE4_IncPubChances ~~ B2_PE5_PosPR 72.554
## 421 B2_SI1_Peers ~~ B2_SI3_Superiors 64.387
## 124 EE =~ B2_FC3_EasyToUse 46.238
## 388 B2_EE4_TooMuchTime ~~ B2_EE6_TooLongToLearn 31.827
## 189 B2_PE2_WriteFaster ~~ B2_PE3_IncProductivity 31.281
## 387 B2_EE4_TooMuchTime ~~ B2_EE5_TooComplicated 28.580
## 430 B2_SI2_ResClimate ~~ B2_SI4_Journals 25.257
## 371 B2_EE2_ClearUnderstandable ~~ B2_FC3_EasyToUse 25.150
## 190 B2_PE2_WriteFaster ~~ B2_PE4_IncPubChances 20.188
## 464 B2_FC4_FitsWellWithWork ~~ B2_BehIntUse 17.463
## 215 B2_PE3_IncProductivity ~~ B2_PE7_ImproveQuality 16.881
## 444 B2_SI4_Journals ~~ B2_SI5_Field 16.682
## 106 PE =~ B2_FC3_EasyToUse 16.143
## 108 EE =~ B2_PE1_Useful 15.824
## 299 B2_PE7_ImproveQuality ~~ B2_EE4_TooMuchTime 15.205
## 125 EE =~ B2_FC4_FitsWellWithWork 14.651
## 123 EE =~ B2_FC2_WorkflowCompatibility 13.895
## 363 B2_EE2_ClearUnderstandable ~~ B2_EE6_TooLongToLearn 13.735
## 158 FC =~ B2_EE5_TooComplicated 13.431
## 218 B2_PE3_IncProductivity ~~ B2_EE1_EasyToUse 13.080
## 103 PE =~ B2_SI5_Field 12.009
## 256 B2_PE5_PosPR ~~ B2_PE7_ImproveQuality 11.954
## 145 FC =~ B2_PE1_Useful 11.937
## 455 B2_FC1_Knowledge ~~ B2_FC2_WorkflowCompatibility 11.930
## 312 B2_PE8_MoreEfficient ~~ B2_PE9_IncQualSameEffort 11.739
## 268 B2_PE5_PosPR ~~ B2_SI4_Journals 10.653
## 102 PE =~ B2_SI4_Journals 10.507
## 429 B2_SI2_ResClimate ~~ B2_SI3_Superiors 10.331
## 105 PE =~ B2_FC2_WorkflowCompatibility 10.119
## 394 B2_EE4_TooMuchTime ~~ B2_FC1_Knowledge 9.766
## 99 PE =~ B2_SI1_Peers 9.674
## 248 B2_PE4_IncPubChances ~~ B2_SI4_Journals 9.516
## 191 B2_PE2_WriteFaster ~~ B2_PE5_PosPR 9.131
## 180 B2_PE1_Useful ~~ B2_SI2_ResClimate 9.045
## 422 B2_SI1_Peers ~~ B2_SI4_Journals 8.853
## 213 B2_PE3_IncProductivity ~~ B2_PE5_PosPR 8.842
## 296 B2_PE7_ImproveQuality ~~ B2_EE1_EasyToUse 8.797
## 214 B2_PE3_IncProductivity ~~ B2_PE6_EasierWrite 8.651
## 156 FC =~ B2_EE3_BecomeSkillful 8.635
## 262 B2_PE5_PosPR ~~ B2_EE4_TooMuchTime 8.280
## 109 EE =~ B2_PE2_WriteFaster 8.198
## 349 B2_EE1_EasyToUse ~~ B2_EE6_TooLongToLearn 8.044
## 203 B2_PE2_WriteFaster ~~ B2_SI2_ResClimate 7.999
## 160 FC =~ B2_SI1_Peers 7.990
## 146 FC =~ B2_PE2_WriteFaster 7.937
## 171 B2_PE1_Useful ~~ B2_PE8_MoreEfficient 7.923
## 202 B2_PE2_WriteFaster ~~ B2_SI1_Peers 7.552
## 236 B2_PE4_IncPubChances ~~ B2_PE7_ImproveQuality 7.289
## 212 B2_PE3_IncProductivity ~~ B2_PE4_IncPubChances 7.204
## 345 B2_EE1_EasyToUse ~~ B2_EE2_ClearUnderstandable 7.164
## 222 B2_PE3_IncProductivity ~~ B2_EE5_TooComplicated 7.159
## 118 EE =~ B2_SI2_ResClimate 7.156
## 314 B2_PE8_MoreEfficient ~~ B2_EE2_ClearUnderstandable 7.123
## 95 PE =~ B2_EE3_BecomeSkillful 6.978
## 305 B2_PE7_ImproveQuality ~~ B2_SI4_Journals 6.920
## 229 B2_PE3_IncProductivity ~~ B2_FC1_Knowledge 6.894
## 100 PE =~ B2_SI2_ResClimate 6.888
## 308 B2_PE7_ImproveQuality ~~ B2_FC2_WorkflowCompatibility 6.815
## 437 B2_SI3_Superiors ~~ B2_SI4_Journals 6.695
## 406 B2_EE5_TooComplicated ~~ B2_FC2_WorkflowCompatibility 6.692
## 161 FC =~ B2_SI2_ResClimate 6.583
## 107 PE =~ B2_FC4_FitsWellWithWork 6.579
## 460 B2_FC2_WorkflowCompatibility ~~ B2_FC4_FitsWellWithWork 6.516
## 170 B2_PE1_Useful ~~ B2_PE7_ImproveQuality 6.463
## 463 B2_FC3_EasyToUse ~~ B2_BehIntUse 6.431
## 273 B2_PE5_PosPR ~~ B2_FC4_FitsWellWithWork 6.353
## 361 B2_EE2_ClearUnderstandable ~~ B2_EE4_TooMuchTime 6.275
## 279 B2_PE6_EasierWrite ~~ B2_EE2_ClearUnderstandable 6.226
## 93 PE =~ B2_EE1_EasyToUse 6.220
## 370 B2_EE2_ClearUnderstandable ~~ B2_FC2_WorkflowCompatibility 6.208
## 245 B2_PE4_IncPubChances ~~ B2_SI1_Peers 6.088
## 135 SI =~ B2_EE1_EasyToUse 6.062
## 408 B2_EE5_TooComplicated ~~ B2_FC4_FitsWellWithWork 6.030
## 175 B2_PE1_Useful ~~ B2_EE3_BecomeSkillful 5.891
## 182 B2_PE1_Useful ~~ B2_SI4_Journals 5.786
## 433 B2_SI2_ResClimate ~~ B2_FC2_WorkflowCompatibility 5.730
## 193 B2_PE2_WriteFaster ~~ B2_PE7_ImproveQuality 5.695
## 383 B2_EE3_BecomeSkillful ~~ B2_FC2_WorkflowCompatibility 5.665
## 192 B2_PE2_WriteFaster ~~ B2_PE6_EasierWrite 5.664
## 316 B2_PE8_MoreEfficient ~~ B2_EE4_TooMuchTime 5.646
## 157 FC =~ B2_EE4_TooMuchTime 5.501
## 374 B2_EE3_BecomeSkillful ~~ B2_EE4_TooMuchTime 5.446
## 357 B2_EE1_EasyToUse ~~ B2_FC3_EasyToUse 5.426
## 427 B2_SI1_Peers ~~ B2_FC4_FitsWellWithWork 5.424
## 154 FC =~ B2_EE1_EasyToUse 5.340
## 117 EE =~ B2_SI1_Peers 5.260
## 184 B2_PE1_Useful ~~ B2_FC1_Knowledge 5.168
## 98 PE =~ B2_EE6_TooLongToLearn 4.953
## 220 B2_PE3_IncProductivity ~~ B2_EE3_BecomeSkillful 4.862
## 185 B2_PE1_Useful ~~ B2_FC2_WorkflowCompatibility 4.740
## 194 B2_PE2_WriteFaster ~~ B2_PE8_MoreEfficient 4.706
## 348 B2_EE1_EasyToUse ~~ B2_EE5_TooComplicated 4.654
## 265 B2_PE5_PosPR ~~ B2_SI1_Peers 4.597
## 174 B2_PE1_Useful ~~ B2_EE2_ClearUnderstandable 4.435
## 448 B2_SI4_Journals ~~ B2_FC4_FitsWellWithWork 4.359
## 326 B2_PE8_MoreEfficient ~~ B2_FC3_EasyToUse 4.283
## 419 B2_EE6_TooLongToLearn ~~ B2_BehIntUse 4.279
## 104 PE =~ B2_FC1_Knowledge 4.266
## 164 FC =~ B2_SI5_Field 4.226
## 330 B2_PE9_IncQualSameEffort ~~ B2_EE2_ClearUnderstandable 4.190
## 324 B2_PE8_MoreEfficient ~~ B2_FC1_Knowledge 4.138
## 401 B2_EE5_TooComplicated ~~ B2_SI2_ResClimate 4.121
## 372 B2_EE2_ClearUnderstandable ~~ B2_FC4_FitsWellWithWork 4.115
## 337 B2_PE9_IncQualSameEffort ~~ B2_SI3_Superiors 4.083
## 281 B2_PE6_EasierWrite ~~ B2_EE4_TooMuchTime 4.076
## 163 FC =~ B2_SI4_Journals 4.030
## 219 B2_PE3_IncProductivity ~~ B2_EE2_ClearUnderstandable 3.941
## 97 PE =~ B2_EE5_TooComplicated 3.924
## 457 B2_FC1_Knowledge ~~ B2_FC4_FitsWellWithWork 3.868
## 462 B2_FC3_EasyToUse ~~ B2_FC4_FitsWellWithWork 3.820
## 159 FC =~ B2_EE6_TooLongToLearn 3.630
## 259 B2_PE5_PosPR ~~ B2_EE1_EasyToUse 3.598
## 340 B2_PE9_IncQualSameEffort ~~ B2_FC1_Knowledge 3.547
## 396 B2_EE4_TooMuchTime ~~ B2_FC3_EasyToUse 3.506
## 260 B2_PE5_PosPR ~~ B2_EE2_ClearUnderstandable 3.481
## 287 B2_PE6_EasierWrite ~~ B2_SI4_Journals 3.458
## 246 B2_PE4_IncPubChances ~~ B2_SI2_ResClimate 3.422
## 251 B2_PE4_IncPubChances ~~ B2_FC2_WorkflowCompatibility 3.421
## 227 B2_PE3_IncProductivity ~~ B2_SI4_Journals 3.394
## 176 B2_PE1_Useful ~~ B2_EE4_TooMuchTime 3.333
## 459 B2_FC2_WorkflowCompatibility ~~ B2_FC3_EasyToUse 3.285
## 317 B2_PE8_MoreEfficient ~~ B2_EE5_TooComplicated 3.275
## 303 B2_PE7_ImproveQuality ~~ B2_SI2_ResClimate 3.205
## 404 B2_EE5_TooComplicated ~~ B2_SI5_Field 3.120
## 169 B2_PE1_Useful ~~ B2_PE6_EasierWrite 3.100
## 423 B2_SI1_Peers ~~ B2_SI5_Field 3.059
## 304 B2_PE7_ImproveQuality ~~ B2_SI3_Superiors 2.983
## 255 B2_PE5_PosPR ~~ B2_PE6_EasierWrite 2.960
## 252 B2_PE4_IncPubChances ~~ B2_FC3_EasyToUse 2.958
## 205 B2_PE2_WriteFaster ~~ B2_SI4_Journals 2.931
## 293 B2_PE6_EasierWrite ~~ B2_BehIntUse 2.914
## 346 B2_EE1_EasyToUse ~~ B2_EE3_BecomeSkillful 2.872
## 456 B2_FC1_Knowledge ~~ B2_FC3_EasyToUse 2.858
## 453 B2_SI5_Field ~~ B2_FC4_FitsWellWithWork 2.838
## 289 B2_PE6_EasierWrite ~~ B2_FC1_Knowledge 2.725
## 111 EE =~ B2_PE4_IncPubChances 2.702
## 200 B2_PE2_WriteFaster ~~ B2_EE5_TooComplicated 2.699
## 177 B2_PE1_Useful ~~ B2_EE5_TooComplicated 2.630
## 285 B2_PE6_EasierWrite ~~ B2_SI2_ResClimate 2.446
## 301 B2_PE7_ImproveQuality ~~ B2_EE6_TooLongToLearn 2.402
## 270 B2_PE5_PosPR ~~ B2_FC1_Knowledge 2.323
## 438 B2_SI3_Superiors ~~ B2_SI5_Field 2.257
## 418 B2_EE6_TooLongToLearn ~~ B2_FC4_FitsWellWithWork 2.225
## 148 FC =~ B2_PE4_IncPubChances 2.219
## 206 B2_PE2_WriteFaster ~~ B2_SI5_Field 2.183
## 120 EE =~ B2_SI4_Journals 2.159
## 359 B2_EE1_EasyToUse ~~ B2_BehIntUse 2.155
## 298 B2_PE7_ImproveQuality ~~ B2_EE3_BecomeSkillful 2.147
## 142 SI =~ B2_FC2_WorkflowCompatibility 2.099
## 230 B2_PE3_IncProductivity ~~ B2_FC2_WorkflowCompatibility 2.082
## 381 B2_EE3_BecomeSkillful ~~ B2_SI5_Field 2.054
## 461 B2_FC2_WorkflowCompatibility ~~ B2_BehIntUse 2.032
## 386 B2_EE3_BecomeSkillful ~~ B2_BehIntUse 2.026
## 254 B2_PE4_IncPubChances ~~ B2_BehIntUse 2.010
## 231 B2_PE3_IncProductivity ~~ B2_FC3_EasyToUse 1.989
## 235 B2_PE4_IncPubChances ~~ B2_PE6_EasierWrite 1.986
## 266 B2_PE5_PosPR ~~ B2_SI2_ResClimate 1.974
## 318 B2_PE8_MoreEfficient ~~ B2_EE6_TooLongToLearn 1.970
## 450 B2_SI5_Field ~~ B2_FC1_Knowledge 1.957
## 140 SI =~ B2_EE6_TooLongToLearn 1.950
## 360 B2_EE2_ClearUnderstandable ~~ B2_EE3_BecomeSkillful 1.896
## 413 B2_EE6_TooLongToLearn ~~ B2_SI4_Journals 1.869
## 274 B2_PE5_PosPR ~~ B2_BehIntUse 1.826
## 210 B2_PE2_WriteFaster ~~ B2_FC4_FitsWellWithWork 1.795
## 271 B2_PE5_PosPR ~~ B2_FC2_WorkflowCompatibility 1.783
## 306 B2_PE7_ImproveQuality ~~ B2_SI5_Field 1.778
## 454 B2_SI5_Field ~~ B2_BehIntUse 1.742
## 127 SI =~ B2_PE2_WriteFaster 1.698
## 335 B2_PE9_IncQualSameEffort ~~ B2_SI1_Peers 1.644
## 199 B2_PE2_WriteFaster ~~ B2_EE4_TooMuchTime 1.637
## 446 B2_SI4_Journals ~~ B2_FC2_WorkflowCompatibility 1.606
## 276 B2_PE6_EasierWrite ~~ B2_PE8_MoreEfficient 1.600
## 288 B2_PE6_EasierWrite ~~ B2_SI5_Field 1.571
## 362 B2_EE2_ClearUnderstandable ~~ B2_EE5_TooComplicated 1.565
## 278 B2_PE6_EasierWrite ~~ B2_EE1_EasyToUse 1.563
## 286 B2_PE6_EasierWrite ~~ B2_SI3_Superiors 1.548
## 139 SI =~ B2_EE5_TooComplicated 1.523
## 375 B2_EE3_BecomeSkillful ~~ B2_EE5_TooComplicated 1.481
## 96 PE =~ B2_EE4_TooMuchTime 1.436
## 355 B2_EE1_EasyToUse ~~ B2_FC1_Knowledge 1.408
## 116 EE =~ B2_PE9_IncQualSameEffort 1.399
## 343 B2_PE9_IncQualSameEffort ~~ B2_FC4_FitsWellWithWork 1.391
## 282 B2_PE6_EasierWrite ~~ B2_EE5_TooComplicated 1.388
## 425 B2_SI1_Peers ~~ B2_FC2_WorkflowCompatibility 1.350
## 239 B2_PE4_IncPubChances ~~ B2_EE1_EasyToUse 1.285
## 165 B2_PE1_Useful ~~ B2_PE2_WriteFaster 1.281
## 94 PE =~ B2_EE2_ClearUnderstandable 1.276
## 114 EE =~ B2_PE7_ImproveQuality 1.265
## 414 B2_EE6_TooLongToLearn ~~ B2_SI5_Field 1.251
## 385 B2_EE3_BecomeSkillful ~~ B2_FC4_FitsWellWithWork 1.231
## 181 B2_PE1_Useful ~~ B2_SI3_Superiors 1.211
## 380 B2_EE3_BecomeSkillful ~~ B2_SI4_Journals 1.203
## 186 B2_PE1_Useful ~~ B2_FC3_EasyToUse 1.188
## 121 EE =~ B2_SI5_Field 1.179
## 138 SI =~ B2_EE4_TooMuchTime 1.175
## 294 B2_PE7_ImproveQuality ~~ B2_PE8_MoreEfficient 1.167
## 207 B2_PE2_WriteFaster ~~ B2_FC1_Knowledge 1.154
## 113 EE =~ B2_PE6_EasierWrite 1.143
## 195 B2_PE2_WriteFaster ~~ B2_PE9_IncQualSameEffort 1.123
## 368 B2_EE2_ClearUnderstandable ~~ B2_SI5_Field 1.101
## 275 B2_PE6_EasierWrite ~~ B2_PE7_ImproveQuality 1.094
## 447 B2_SI4_Journals ~~ B2_FC3_EasyToUse 1.092
## 297 B2_PE7_ImproveQuality ~~ B2_EE2_ClearUnderstandable 1.085
## 356 B2_EE1_EasyToUse ~~ B2_FC2_WorkflowCompatibility 1.083
## 416 B2_EE6_TooLongToLearn ~~ B2_FC2_WorkflowCompatibility 1.078
## 225 B2_PE3_IncProductivity ~~ B2_SI2_ResClimate 1.076
## 392 B2_EE4_TooMuchTime ~~ B2_SI4_Journals 1.023
## 101 PE =~ B2_SI3_Superiors 0.999
## 150 FC =~ B2_PE6_EasierWrite 0.992
## 217 B2_PE3_IncProductivity ~~ B2_PE9_IncQualSameEffort 0.983
## 129 SI =~ B2_PE4_IncPubChances 0.979
## 144 SI =~ B2_FC4_FitsWellWithWork 0.959
## 253 B2_PE4_IncPubChances ~~ B2_FC4_FitsWellWithWork 0.957
## 309 B2_PE7_ImproveQuality ~~ B2_FC3_EasyToUse 0.951
## 233 B2_PE3_IncProductivity ~~ B2_BehIntUse 0.895
## 196 B2_PE2_WriteFaster ~~ B2_EE1_EasyToUse 0.871
## 226 B2_PE3_IncProductivity ~~ B2_SI3_Superiors 0.869
## 152 FC =~ B2_PE8_MoreEfficient 0.844
## 441 B2_SI3_Superiors ~~ B2_FC3_EasyToUse 0.833
## 322 B2_PE8_MoreEfficient ~~ B2_SI4_Journals 0.809
## 319 B2_PE8_MoreEfficient ~~ B2_SI1_Peers 0.808
## 311 B2_PE7_ImproveQuality ~~ B2_BehIntUse 0.807
## 261 B2_PE5_PosPR ~~ B2_EE3_BecomeSkillful 0.783
## 242 B2_PE4_IncPubChances ~~ B2_EE4_TooMuchTime 0.779
## 197 B2_PE2_WriteFaster ~~ B2_EE2_ClearUnderstandable 0.768
## 126 SI =~ B2_PE1_Useful 0.744
## 269 B2_PE5_PosPR ~~ B2_SI5_Field 0.743
## 277 B2_PE6_EasierWrite ~~ B2_PE9_IncQualSameEffort 0.730
## 451 B2_SI5_Field ~~ B2_FC2_WorkflowCompatibility 0.729
## 244 B2_PE4_IncPubChances ~~ B2_EE6_TooLongToLearn 0.729
## 283 B2_PE6_EasierWrite ~~ B2_EE6_TooLongToLearn 0.721
## 166 B2_PE1_Useful ~~ B2_PE3_IncProductivity 0.698
## 250 B2_PE4_IncPubChances ~~ B2_FC1_Knowledge 0.697
## 384 B2_EE3_BecomeSkillful ~~ B2_FC3_EasyToUse 0.697
## 133 SI =~ B2_PE8_MoreEfficient 0.690
## 334 B2_PE9_IncQualSameEffort ~~ B2_EE6_TooLongToLearn 0.672
## 350 B2_EE1_EasyToUse ~~ B2_SI1_Peers 0.672
## 187 B2_PE1_Useful ~~ B2_FC4_FitsWellWithWork 0.668
## 338 B2_PE9_IncQualSameEffort ~~ B2_SI4_Journals 0.661
## 376 B2_EE3_BecomeSkillful ~~ B2_EE6_TooLongToLearn 0.653
## 198 B2_PE2_WriteFaster ~~ B2_EE3_BecomeSkillful 0.651
## 365 B2_EE2_ClearUnderstandable ~~ B2_SI2_ResClimate 0.642
## 323 B2_PE8_MoreEfficient ~~ B2_SI5_Field 0.641
## 377 B2_EE3_BecomeSkillful ~~ B2_SI1_Peers 0.635
## 264 B2_PE5_PosPR ~~ B2_EE6_TooLongToLearn 0.617
## 415 B2_EE6_TooLongToLearn ~~ B2_FC1_Knowledge 0.608
## 112 EE =~ B2_PE5_PosPR 0.604
## 428 B2_SI1_Peers ~~ B2_BehIntUse 0.586
## 315 B2_PE8_MoreEfficient ~~ B2_EE3_BecomeSkillful 0.582
## 397 B2_EE4_TooMuchTime ~~ B2_FC4_FitsWellWithWork 0.578
## 379 B2_EE3_BecomeSkillful ~~ B2_SI3_Superiors 0.577
## 378 B2_EE3_BecomeSkillful ~~ B2_SI2_ResClimate 0.570
## 302 B2_PE7_ImproveQuality ~~ B2_SI1_Peers 0.558
## 352 B2_EE1_EasyToUse ~~ B2_SI3_Superiors 0.544
## 351 B2_EE1_EasyToUse ~~ B2_SI2_ResClimate 0.543
## 149 FC =~ B2_PE5_PosPR 0.542
## 223 B2_PE3_IncProductivity ~~ B2_EE6_TooLongToLearn 0.537
## 336 B2_PE9_IncQualSameEffort ~~ B2_SI2_ResClimate 0.521
## 442 B2_SI3_Superiors ~~ B2_FC4_FitsWellWithWork 0.508
## 290 B2_PE6_EasierWrite ~~ B2_FC2_WorkflowCompatibility 0.507
## 183 B2_PE1_Useful ~~ B2_SI5_Field 0.506
## 263 B2_PE5_PosPR ~~ B2_EE5_TooComplicated 0.486
## 153 FC =~ B2_PE9_IncQualSameEffort 0.465
## 327 B2_PE8_MoreEfficient ~~ B2_FC4_FitsWellWithWork 0.465
## 128 SI =~ B2_PE3_IncProductivity 0.460
## 373 B2_EE2_ClearUnderstandable ~~ B2_BehIntUse 0.457
## 201 B2_PE2_WriteFaster ~~ B2_EE6_TooLongToLearn 0.434
## 137 SI =~ B2_EE3_BecomeSkillful 0.420
## 367 B2_EE2_ClearUnderstandable ~~ B2_SI4_Journals 0.419
## 224 B2_PE3_IncProductivity ~~ B2_SI1_Peers 0.418
## 258 B2_PE5_PosPR ~~ B2_PE9_IncQualSameEffort 0.404
## 458 B2_FC1_Knowledge ~~ B2_BehIntUse 0.401
## 452 B2_SI5_Field ~~ B2_FC3_EasyToUse 0.401
## 173 B2_PE1_Useful ~~ B2_EE1_EasyToUse 0.373
## 216 B2_PE3_IncProductivity ~~ B2_PE8_MoreEfficient 0.358
## 329 B2_PE9_IncQualSameEffort ~~ B2_EE1_EasyToUse 0.342
## 178 B2_PE1_Useful ~~ B2_EE6_TooLongToLearn 0.335
## 439 B2_SI3_Superiors ~~ B2_FC1_Knowledge 0.315
## 398 B2_EE4_TooMuchTime ~~ B2_BehIntUse 0.312
## 445 B2_SI4_Journals ~~ B2_FC1_Knowledge 0.310
## 291 B2_PE6_EasierWrite ~~ B2_FC3_EasyToUse 0.307
## 155 FC =~ B2_EE2_ClearUnderstandable 0.306
## 407 B2_EE5_TooComplicated ~~ B2_FC3_EasyToUse 0.295
## 403 B2_EE5_TooComplicated ~~ B2_SI4_Journals 0.293
## 310 B2_PE7_ImproveQuality ~~ B2_FC4_FitsWellWithWork 0.287
## 307 B2_PE7_ImproveQuality ~~ B2_FC1_Knowledge 0.280
## 393 B2_EE4_TooMuchTime ~~ B2_SI5_Field 0.268
## 369 B2_EE2_ClearUnderstandable ~~ B2_FC1_Knowledge 0.268
## 295 B2_PE7_ImproveQuality ~~ B2_PE9_IncQualSameEffort 0.267
## 331 B2_PE9_IncQualSameEffort ~~ B2_EE3_BecomeSkillful 0.264
## 132 SI =~ B2_PE7_ImproveQuality 0.248
## 435 B2_SI2_ResClimate ~~ B2_FC4_FitsWellWithWork 0.247
## 432 B2_SI2_ResClimate ~~ B2_FC1_Knowledge 0.244
## 320 B2_PE8_MoreEfficient ~~ B2_SI2_ResClimate 0.244
## 238 B2_PE4_IncPubChances ~~ B2_PE9_IncQualSameEffort 0.240
## 284 B2_PE6_EasierWrite ~~ B2_SI1_Peers 0.233
## 325 B2_PE8_MoreEfficient ~~ B2_FC2_WorkflowCompatibility 0.224
## 292 B2_PE6_EasierWrite ~~ B2_FC4_FitsWellWithWork 0.220
## 241 B2_PE4_IncPubChances ~~ B2_EE3_BecomeSkillful 0.217
## 115 EE =~ B2_PE8_MoreEfficient 0.207
## 300 B2_PE7_ImproveQuality ~~ B2_EE5_TooComplicated 0.201
## 434 B2_SI2_ResClimate ~~ B2_FC3_EasyToUse 0.199
## 412 B2_EE6_TooLongToLearn ~~ B2_SI3_Superiors 0.193
## 426 B2_SI1_Peers ~~ B2_FC3_EasyToUse 0.190
## 172 B2_PE1_Useful ~~ B2_PE9_IncQualSameEffort 0.173
## 208 B2_PE2_WriteFaster ~~ B2_FC2_WorkflowCompatibility 0.171
## 136 SI =~ B2_EE2_ClearUnderstandable 0.171
## 237 B2_PE4_IncPubChances ~~ B2_PE8_MoreEfficient 0.158
## 243 B2_PE4_IncPubChances ~~ B2_EE5_TooComplicated 0.153
## 147 FC =~ B2_PE3_IncProductivity 0.151
## 409 B2_EE5_TooComplicated ~~ B2_BehIntUse 0.147
## 151 FC =~ B2_PE7_ImproveQuality 0.147
## 257 B2_PE5_PosPR ~~ B2_PE8_MoreEfficient 0.142
## 353 B2_EE1_EasyToUse ~~ B2_SI4_Journals 0.141
## 358 B2_EE1_EasyToUse ~~ B2_FC4_FitsWellWithWork 0.125
## 405 B2_EE5_TooComplicated ~~ B2_FC1_Knowledge 0.124
## 332 B2_PE9_IncQualSameEffort ~~ B2_EE4_TooMuchTime 0.122
## 449 B2_SI4_Journals ~~ B2_BehIntUse 0.120
## 333 B2_PE9_IncQualSameEffort ~~ B2_EE5_TooComplicated 0.118
## 168 B2_PE1_Useful ~~ B2_PE5_PosPR 0.115
## 328 B2_PE8_MoreEfficient ~~ B2_BehIntUse 0.113
## 382 B2_EE3_BecomeSkillful ~~ B2_FC1_Knowledge 0.098
## 339 B2_PE9_IncQualSameEffort ~~ B2_SI5_Field 0.095
## 342 B2_PE9_IncQualSameEffort ~~ B2_FC3_EasyToUse 0.095
## 390 B2_EE4_TooMuchTime ~~ B2_SI2_ResClimate 0.092
## 389 B2_EE4_TooMuchTime ~~ B2_SI1_Peers 0.072
## 221 B2_PE3_IncProductivity ~~ B2_EE4_TooMuchTime 0.072
## 280 B2_PE6_EasierWrite ~~ B2_EE3_BecomeSkillful 0.072
## 179 B2_PE1_Useful ~~ B2_SI1_Peers 0.069
## 204 B2_PE2_WriteFaster ~~ B2_SI3_Superiors 0.068
## 402 B2_EE5_TooComplicated ~~ B2_SI3_Superiors 0.062
## 272 B2_PE5_PosPR ~~ B2_FC3_EasyToUse 0.062
## 344 B2_PE9_IncQualSameEffort ~~ B2_BehIntUse 0.055
## 131 SI =~ B2_PE6_EasierWrite 0.055
## 417 B2_EE6_TooLongToLearn ~~ B2_FC3_EasyToUse 0.041
## 167 B2_PE1_Useful ~~ B2_PE4_IncPubChances 0.040
## 347 B2_EE1_EasyToUse ~~ B2_EE4_TooMuchTime 0.040
## 341 B2_PE9_IncQualSameEffort ~~ B2_FC2_WorkflowCompatibility 0.035
## 424 B2_SI1_Peers ~~ B2_FC1_Knowledge 0.030
## 440 B2_SI3_Superiors ~~ B2_FC2_WorkflowCompatibility 0.028
## 240 B2_PE4_IncPubChances ~~ B2_EE2_ClearUnderstandable 0.026
## 143 SI =~ B2_FC3_EasyToUse 0.026
## 443 B2_SI3_Superiors ~~ B2_BehIntUse 0.024
## 232 B2_PE3_IncProductivity ~~ B2_FC4_FitsWellWithWork 0.021
## 436 B2_SI2_ResClimate ~~ B2_BehIntUse 0.017
## 141 SI =~ B2_FC1_Knowledge 0.017
## 431 B2_SI2_ResClimate ~~ B2_SI5_Field 0.015
## 321 B2_PE8_MoreEfficient ~~ B2_SI3_Superiors 0.015
## 119 EE =~ B2_SI3_Superiors 0.014
## 188 B2_PE1_Useful ~~ B2_BehIntUse 0.013
## 130 SI =~ B2_PE5_PosPR 0.012
## 267 B2_PE5_PosPR ~~ B2_SI3_Superiors 0.011
## 211 B2_PE2_WriteFaster ~~ B2_BehIntUse 0.011
## 134 SI =~ B2_PE9_IncQualSameEffort 0.010
## 420 B2_SI1_Peers ~~ B2_SI2_ResClimate 0.008
## 247 B2_PE4_IncPubChances ~~ B2_SI3_Superiors 0.008
## 395 B2_EE4_TooMuchTime ~~ B2_FC2_WorkflowCompatibility 0.007
## 110 EE =~ B2_PE3_IncProductivity 0.006
## 366 B2_EE2_ClearUnderstandable ~~ B2_SI3_Superiors 0.006
## 228 B2_PE3_IncProductivity ~~ B2_SI5_Field 0.006
## 391 B2_EE4_TooMuchTime ~~ B2_SI3_Superiors 0.006
## 122 EE =~ B2_FC1_Knowledge 0.005
## 354 B2_EE1_EasyToUse ~~ B2_SI5_Field 0.005
## 209 B2_PE2_WriteFaster ~~ B2_FC3_EasyToUse 0.003
## 313 B2_PE8_MoreEfficient ~~ B2_EE1_EasyToUse 0.002
## 410 B2_EE6_TooLongToLearn ~~ B2_SI1_Peers 0.002
## 162 FC =~ B2_SI3_Superiors 0.001
## 411 B2_EE6_TooLongToLearn ~~ B2_SI2_ResClimate 0.001
## 364 B2_EE2_ClearUnderstandable ~~ B2_SI1_Peers 0.000
## 249 B2_PE4_IncPubChances ~~ B2_SI5_Field 0.000
## 400 B2_EE5_TooComplicated ~~ B2_SI1_Peers 0.000
## epc sepc.lv sepc.all sepc.nox
## 399 0.532 0.532 0.697 0.697
## 234 0.432 0.432 0.672 0.672
## 421 1.057 1.057 2.922 2.922
## 124 1.407 1.407 1.325 1.325
## 388 0.370 0.370 0.442 0.442
## 189 0.193 0.193 0.472 0.472
## 387 0.357 0.357 0.422 0.422
## 430 0.485 0.485 0.385 0.385
## 371 0.164 0.164 0.497 0.497
## 190 -0.195 -0.195 -0.367 -0.367
## 464 0.252 0.252 0.400 0.400
## 215 -0.174 -0.174 -0.332 -0.332
## 444 0.359 0.359 0.312 0.312
## 106 -0.337 -0.337 -0.317 -0.317
## 108 0.355 0.355 0.289 0.289
## 299 -0.247 -0.247 -0.300 -0.300
## 125 -0.884 -0.884 -0.747 -0.747
## 123 -0.955 -0.955 -0.762 -0.762
## 363 -0.178 -0.178 -0.333 -0.333
## 158 -0.943 -0.943 -0.806 -0.806
## 218 0.118 0.118 0.301 0.301
## 103 0.356 0.356 0.280 0.280
## 256 0.186 0.186 0.270 0.270
## 145 0.360 0.360 0.292 0.292
## 455 0.321 0.321 0.276 0.276
## 312 0.119 0.119 0.314 0.314
## 268 0.218 0.218 0.250 0.250
## 102 0.338 0.338 0.276 0.276
## 429 -0.257 -0.257 -0.352 -0.352
## 105 0.340 0.340 0.271 0.271
## 394 -0.320 -0.320 -0.238 -0.238
## 99 -0.265 -0.265 -0.194 -0.194
## 248 0.206 0.206 0.237 0.237
## 191 -0.131 -0.131 -0.245 -0.245
## 180 0.234 0.234 0.232 0.232
## 422 -0.205 -0.205 -0.328 -0.328
## 213 -0.119 -0.119 -0.241 -0.241
## 296 -0.131 -0.131 -0.240 -0.240
## 214 0.093 0.093 0.259 0.259
## 156 0.655 0.655 0.606 0.606
## 262 -0.171 -0.171 -0.222 -0.222
## 109 0.203 0.203 0.180 0.180
## 349 -0.133 -0.133 -0.239 -0.239
## 203 -0.173 -0.173 -0.224 -0.224
## 160 -0.210 -0.210 -0.154 -0.154
## 146 0.233 0.233 0.207 0.207
## 171 -0.123 -0.123 -0.240 -0.240
## 202 0.107 0.107 0.280 0.280
## 236 0.145 0.145 0.212 0.212
## 212 -0.107 -0.107 -0.219 -0.219
## 345 0.104 0.104 0.264 0.264
## 222 -0.116 -0.116 -0.216 -0.216
## 118 0.271 0.271 0.193 0.193
## 314 -0.087 -0.087 -0.241 -0.241
## 95 0.200 0.200 0.185 0.185
## 305 0.187 0.187 0.201 0.201
## 229 -0.177 -0.177 -0.207 -0.207
## 100 0.296 0.296 0.211 0.211
## 308 0.147 0.147 0.208 0.208
## 437 -0.180 -0.180 -0.264 -0.264
## 406 -0.154 -0.154 -0.210 -0.210
## 161 0.267 0.267 0.190 0.190
## 107 0.242 0.242 0.205 0.205
## 460 0.131 0.131 0.239 0.239
## 170 0.147 0.147 0.199 0.199
## 463 -0.136 -0.136 -0.265 -0.265
## 273 -0.111 -0.111 -0.210 -0.210
## 361 -0.129 -0.129 -0.218 -0.218
## 279 -0.081 -0.081 -0.223 -0.223
## 93 0.176 0.176 0.178 0.178
## 370 -0.113 -0.113 -0.221 -0.221
## 245 -0.113 -0.113 -0.246 -0.246
## 135 0.150 0.150 0.152 0.152
## 408 -0.122 -0.122 -0.210 -0.210
## 175 0.117 0.117 0.199 0.199
## 182 0.174 0.174 0.184 0.184
## 433 -0.183 -0.183 -0.190 -0.190
## 193 -0.110 -0.110 -0.193 -0.193
## 383 0.114 0.114 0.204 0.204
## 192 0.082 0.082 0.210 0.210
## 316 0.111 0.111 0.195 0.195
## 157 -0.628 -0.628 -0.551 -0.551
## 374 -0.127 -0.127 -0.195 -0.195
## 357 0.075 0.075 0.217 0.217
## 427 -0.095 -0.095 -0.250 -0.250
## 154 0.473 0.473 0.481 0.481
## 117 -0.163 -0.163 -0.119 -0.119
## 184 0.212 0.212 0.175 0.175
## 98 -0.199 -0.199 -0.177 -0.177
## 220 -0.077 -0.077 -0.185 -0.185
## 185 -0.125 -0.125 -0.174 -0.174
## 194 -0.076 -0.076 -0.194 -0.194
## 348 -0.103 -0.103 -0.184 -0.184
## 265 -0.098 -0.098 -0.213 -0.213
## 174 0.095 0.095 0.178 0.178
## 448 0.123 0.123 0.171 0.171
## 326 -0.061 -0.061 -0.191 -0.191
## 419 0.138 0.138 0.167 0.167
## 104 -0.340 -0.340 -0.208 -0.208
## 164 0.194 0.194 0.153 0.153
## 330 -0.071 -0.071 -0.180 -0.180
## 324 -0.137 -0.137 -0.167 -0.167
## 401 0.162 0.162 0.158 0.158
## 372 -0.078 -0.078 -0.192 -0.192
## 337 -0.079 -0.079 -0.196 -0.196
## 281 0.093 0.093 0.164 0.164
## 163 0.193 0.193 0.157 0.157
## 219 0.065 0.065 0.172 0.172
## 97 -0.181 -0.181 -0.155 -0.155
## 457 -0.153 -0.153 -0.167 -0.167
## 462 -0.086 -0.086 -0.242 -0.242
## 159 -0.478 -0.478 -0.425 -0.425
## 259 -0.079 -0.079 -0.154 -0.154
## 340 0.134 0.134 0.150 0.150
## 396 -0.084 -0.084 -0.162 -0.162
## 260 0.078 0.078 0.158 0.158
## 287 -0.096 -0.096 -0.150 -0.150
## 246 0.133 0.133 0.144 0.144
## 251 0.098 0.098 0.148 0.148
## 227 -0.096 -0.096 -0.145 -0.145
## 176 -0.118 -0.118 -0.141 -0.141
## 459 -0.082 -0.082 -0.184 -0.184
## 317 0.079 0.079 0.152 0.152
## 303 0.137 0.137 0.138 0.138
## 404 -0.128 -0.128 -0.138 -0.138
## 169 -0.076 -0.076 -0.148 -0.148
## 423 -0.126 -0.126 -0.207 -0.207
## 304 -0.087 -0.087 -0.161 -0.161
## 255 -0.068 -0.068 -0.145 -0.145
## 252 -0.064 -0.064 -0.149 -0.149
## 205 -0.097 -0.097 -0.134 -0.134
## 293 -0.081 -0.081 -0.144 -0.144
## 346 -0.068 -0.068 -0.157 -0.157
## 456 0.113 0.113 0.150 0.150
## 453 0.097 0.097 0.139 0.139
## 289 -0.110 -0.110 -0.134 -0.134
## 111 -0.136 -0.136 -0.116 -0.116
## 200 -0.077 -0.077 -0.132 -0.132
## 177 0.097 0.097 0.127 0.127
## 285 -0.087 -0.087 -0.127 -0.127
## 301 -0.090 -0.090 -0.121 -0.121
## 270 0.131 0.131 0.117 0.117
## 438 -0.109 -0.109 -0.163 -0.163
## 418 -0.073 -0.073 -0.127 -0.127
## 148 -0.144 -0.144 -0.123 -0.123
## 206 -0.082 -0.082 -0.117 -0.117
## 120 0.138 0.138 0.112 0.112
## 359 -0.077 -0.077 -0.126 -0.126
## 298 0.069 0.069 0.120 0.120
## 142 0.118 0.118 0.094 0.094
## 230 -0.060 -0.060 -0.118 -0.118
## 381 0.083 0.083 0.117 0.117
## 461 -0.098 -0.098 -0.123 -0.123
## 386 -0.080 -0.080 -0.124 -0.124
## 254 0.086 0.086 0.113 0.113
## 231 0.041 0.041 0.125 0.125
## 235 -0.056 -0.056 -0.120 -0.120
## 266 0.101 0.101 0.108 0.108
## 318 0.060 0.060 0.117 0.117
## 450 -0.157 -0.157 -0.107 -0.107
## 140 -0.108 -0.108 -0.096 -0.096
## 360 0.058 0.058 0.140 0.140
## 413 -0.099 -0.099 -0.105 -0.105
## 274 0.082 0.082 0.107 0.107
## 210 0.050 0.050 0.115 0.115
## 271 0.071 0.071 0.107 0.107
## 306 0.093 0.093 0.103 0.103
## 454 0.104 0.104 0.103 0.103
## 127 0.089 0.089 0.079 0.079
## 335 0.049 0.049 0.133 0.133
## 199 0.065 0.065 0.101 0.101
## 446 -0.090 -0.090 -0.100 -0.100
## 276 0.041 0.041 0.120 0.120
## 288 0.063 0.063 0.102 0.102
## 362 -0.062 -0.062 -0.114 -0.114
## 278 0.040 0.040 0.107 0.107
## 286 0.045 0.045 0.123 0.123
## 139 -0.098 -0.098 -0.084 -0.084
## 375 -0.063 -0.063 -0.105 -0.105
## 96 -0.116 -0.116 -0.102 -0.102
## 355 -0.085 -0.085 -0.095 -0.095
## 116 -0.082 -0.082 -0.071 -0.071
## 343 0.043 0.043 0.102 0.102
## 282 -0.050 -0.050 -0.098 -0.098
## 425 0.057 0.057 0.119 0.119
## 239 -0.047 -0.047 -0.092 -0.092
## 165 0.053 0.053 0.092 0.092
## 94 -0.083 -0.083 -0.076 -0.076
## 114 -0.099 -0.099 -0.084 -0.084
## 414 -0.080 -0.080 -0.087 -0.087
## 385 0.045 0.045 0.101 0.101
## 181 -0.056 -0.056 -0.103 -0.103
## 380 0.065 0.065 0.088 0.088
## 186 0.044 0.044 0.094 0.094
## 121 0.100 0.100 0.079 0.079
## 138 -0.091 -0.091 -0.080 -0.080
## 294 0.046 0.046 0.092 0.092
## 207 -0.079 -0.079 -0.085 -0.085
## 113 -0.069 -0.069 -0.061 -0.061
## 195 -0.039 -0.039 -0.091 -0.091
## 368 -0.057 -0.057 -0.088 -0.088
## 275 -0.044 -0.044 -0.088 -0.088
## 447 -0.052 -0.052 -0.089 -0.089
## 297 0.046 0.046 0.088 0.088
## 356 -0.047 -0.047 -0.088 -0.088
## 416 -0.061 -0.061 -0.084 -0.084
## 225 -0.058 -0.058 -0.082 -0.082
## 392 -0.080 -0.080 -0.077 -0.077
## 101 -0.086 -0.086 -0.062 -0.062
## 150 -0.075 -0.075 -0.066 -0.066
## 217 -0.033 -0.033 -0.085 -0.085
## 129 -0.079 -0.079 -0.068 -0.068
## 144 -0.070 -0.070 -0.059 -0.059
## 253 -0.043 -0.043 -0.082 -0.082
## 309 -0.039 -0.039 -0.084 -0.084
## 233 -0.045 -0.045 -0.077 -0.077
## 196 0.033 0.033 0.078 0.078
## 226 0.034 0.034 0.089 0.089
## 152 -0.071 -0.071 -0.059 -0.059
## 441 0.032 0.032 0.095 0.095
## 322 -0.047 -0.047 -0.073 -0.073
## 319 -0.032 -0.032 -0.095 -0.095
## 311 0.058 0.058 0.071 0.071
## 261 0.039 0.039 0.072 0.072
## 242 -0.053 -0.053 -0.068 -0.068
## 197 0.031 0.031 0.076 0.076
## 126 0.075 0.075 0.061 0.061
## 269 0.056 0.056 0.066 0.066
## 277 -0.029 -0.029 -0.077 -0.077
## 451 0.059 0.059 0.068 0.068
## 244 -0.047 -0.047 -0.067 -0.067
## 283 0.036 0.036 0.070 0.070
## 166 0.036 0.036 0.068 0.068
## 250 0.072 0.072 0.064 0.064
## 384 -0.029 -0.029 -0.079 -0.079
## 133 -0.053 -0.053 -0.044 -0.044
## 334 -0.037 -0.037 -0.067 -0.067
## 350 0.031 0.031 0.085 0.085
## 187 -0.039 -0.039 -0.068 -0.068
## 338 0.045 0.045 0.065 0.065
## 376 -0.041 -0.041 -0.069 -0.069
## 198 0.031 0.031 0.068 0.068
## 365 0.048 0.048 0.067 0.067
## 323 0.041 0.041 0.066 0.066
## 377 -0.033 -0.033 -0.084 -0.084
## 264 -0.043 -0.043 -0.061 -0.061
## 415 0.073 0.073 0.060 0.060
## 112 -0.064 -0.064 -0.057 -0.057
## 428 -0.045 -0.045 -0.082 -0.082
## 315 0.027 0.027 0.067 0.067
## 397 0.040 0.040 0.063 0.063
## 379 -0.032 -0.032 -0.075 -0.075
## 378 0.048 0.048 0.061 0.061
## 302 -0.036 -0.036 -0.074 -0.074
## 352 0.029 0.029 0.072 0.072
## 351 -0.044 -0.044 -0.059 -0.059
## 149 -0.071 -0.071 -0.063 -0.063
## 223 -0.031 -0.031 -0.059 -0.059
## 336 0.043 0.043 0.058 0.058
## 442 -0.030 -0.030 -0.072 -0.072
## 290 0.029 0.029 0.060 0.060
## 183 -0.050 -0.050 -0.055 -0.055
## 263 0.039 0.039 0.055 0.055
## 153 -0.055 -0.055 -0.048 -0.048
## 327 0.024 0.024 0.061 0.061
## 128 0.043 0.043 0.041 0.041
## 373 0.037 0.037 0.062 0.062
## 201 -0.031 -0.031 -0.053 -0.053
## 137 0.042 0.042 0.039 0.039
## 367 0.036 0.036 0.054 0.054
## 224 0.023 0.023 0.066 0.066
## 258 -0.027 -0.027 -0.052 -0.052
## 458 -0.067 -0.067 -0.050 -0.050
## 452 -0.031 -0.031 -0.054 -0.054
## 173 -0.028 -0.028 -0.050 -0.050
## 216 -0.019 -0.019 -0.054 -0.054
## 329 0.020 0.020 0.049 0.049
## 178 -0.034 -0.034 -0.045 -0.045
## 439 0.046 0.046 0.052 0.052
## 398 0.041 0.041 0.044 0.044
## 445 0.064 0.064 0.042 0.042
## 291 0.016 0.016 0.051 0.051
## 155 0.123 0.123 0.113 0.113
## 407 0.023 0.023 0.048 0.048
## 403 -0.040 -0.040 -0.042 -0.042
## 310 0.025 0.025 0.045 0.045
## 307 0.048 0.048 0.040 0.040
## 393 -0.040 -0.040 -0.040 -0.040
## 369 0.037 0.037 0.044 0.044
## 295 -0.023 -0.023 -0.042 -0.042
## 331 -0.019 -0.019 -0.044 -0.044
## 132 -0.042 -0.042 -0.036 -0.036
## 435 0.031 0.031 0.041 0.041
## 432 0.061 0.061 0.038 0.038
## 320 0.028 0.028 0.041 0.041
## 238 0.021 0.021 0.041 0.041
## 284 -0.017 -0.017 -0.051 -0.051
## 325 0.020 0.020 0.040 0.040
## 292 0.016 0.016 0.041 0.041
## 241 0.021 0.021 0.038 0.038
## 115 -0.030 -0.030 -0.025 -0.025
## 300 0.026 0.026 0.035 0.035
## 434 0.024 0.024 0.038 0.038
## 412 0.023 0.023 0.041 0.041
## 426 0.015 0.015 0.049 0.049
## 172 -0.019 -0.019 -0.034 -0.034
## 208 0.019 0.019 0.034 0.034
## 136 -0.026 -0.026 -0.024 -0.024
## 237 0.016 0.016 0.034 0.034
## 243 0.022 0.022 0.031 0.031
## 147 -0.030 -0.030 -0.029 -0.029
## 409 0.026 0.026 0.031 0.031
## 151 -0.039 -0.039 -0.033 -0.033
## 257 -0.015 -0.015 -0.032 -0.032
## 353 -0.021 -0.021 -0.030 -0.030
## 358 0.013 0.013 0.032 0.032
## 405 0.034 0.034 0.027 0.027
## 332 0.017 0.017 0.028 0.028
## 449 0.028 0.028 0.027 0.027
## 333 0.016 0.016 0.028 0.028
## 168 -0.019 -0.019 -0.027 -0.027
## 328 0.016 0.016 0.029 0.029
## 382 0.024 0.024 0.025 0.025
## 339 0.017 0.017 0.025 0.025
## 342 -0.010 -0.010 -0.028 -0.028
## 390 -0.026 -0.026 -0.023 -0.023
## 389 0.015 0.015 0.027 0.027
## 221 -0.013 -0.013 -0.021 -0.021
## 280 -0.009 -0.009 -0.023 -0.023
## 179 -0.013 -0.013 -0.026 -0.026
## 204 0.010 0.010 0.025 0.025
## 402 -0.013 -0.013 -0.024 -0.024
## 272 -0.009 -0.009 -0.021 -0.021
## 344 -0.012 -0.012 -0.020 -0.020
## 131 -0.015 -0.015 -0.013 -0.013
## 417 0.008 0.008 0.018 0.018
## 167 0.011 0.011 0.016 0.016
## 347 0.010 0.010 0.017 0.017
## 341 -0.008 -0.008 -0.015 -0.015
## 424 0.014 0.014 0.017 0.017
## 440 0.008 0.008 0.016 0.016
## 240 0.007 0.007 0.014 0.014
## 143 -0.010 -0.010 -0.009 -0.009
## 443 0.009 0.009 0.015 0.015
## 232 0.005 0.005 0.013 0.013
## 436 -0.011 -0.011 -0.010 -0.010
## 141 -0.016 -0.016 -0.010 -0.010
## 431 0.012 0.012 0.010 0.010
## 321 0.005 0.005 0.012 0.012
## 119 0.009 0.009 0.006 0.006
## 188 0.008 0.008 0.009 0.009
## 130 -0.009 -0.009 -0.008 -0.008
## 267 0.005 0.005 0.010 0.010
## 211 -0.005 -0.005 -0.008 -0.008
## 134 -0.007 -0.007 -0.006 -0.006
## 420 -0.007 -0.007 -0.011 -0.011
## 247 0.004 0.004 0.008 0.008
## 395 -0.005 -0.005 -0.007 -0.007
## 110 -0.005 -0.005 -0.005 -0.005
## 366 -0.003 -0.003 -0.008 -0.008
## 228 -0.004 -0.004 -0.006 -0.006
## 391 -0.004 -0.004 -0.007 -0.007
## 122 -0.029 -0.029 -0.018 -0.018
## 354 -0.004 -0.004 -0.006 -0.006
## 209 -0.002 -0.002 -0.005 -0.005
## 313 0.001 0.001 0.004 0.004
## 410 0.002 0.002 0.004 0.004
## 162 0.002 0.002 0.002 0.002
## 411 -0.002 -0.002 -0.002 -0.002
## 364 -0.001 -0.001 -0.002 -0.002
## 249 0.001 0.001 0.001 0.001
## 400 0.000 0.000 0.001 0.001#look at the variances above 1 to see if anything is particularly off. FC1 variance is quite large
var(B2likert$B2_SI3_Superiors)## [1] 1.920858var(B2likert$B2_SI4_Journals)## [1] 1.51134var(B2likert$B2_SI5_Field)## [1] 1.622092var(B2likert$B2_FC1_Knowledge)## [1] 2.699882B2modelfc3 <- #basic model
'PE =~ B2_PE1_Useful + B2_PE2_WriteFaster + B2_PE3_IncProductivity + B2_PE4_IncPubChances + B2_PE5_PosPR + B2_PE6_EasierWrite + B2_PE7_ImproveQuality + B2_PE8_MoreEfficient + B2_PE9_IncQualSameEffort
EE=~ B2_EE1_EasyToUse + B2_EE2_ClearUnderstandable + B2_EE3_BecomeSkillful + B2_EE4_TooMuchTime + B2_EE5_TooComplicated + B2_EE6_TooLongToLearn
SI=~ B2_SI1_Peers + B2_SI2_ResClimate + B2_SI3_Superiors + B2_SI4_Journals + B2_SI5_Field
FC=~ B2_FC1_Knowledge + B2_FC2_WorkflowCompatibility + B2_FC4_FitsWellWithWork
B2_BehIntUse ~ PE + EE + SI + FC
'
#fit the model
fitB2fc3 <- cfa(model = B2modelfc3, data = B2likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB2fc3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 35 iterations
##
## Optimization method NLMINB
## Number of free parameters 81
##
## Number of observations 185
##
## Estimator ML Robust
## Model Fit Test Statistic 816.248 662.690
## Degrees of freedom 243 243
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.232
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3311.570 2452.694
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.811 0.807
## Tucker-Lewis Index (TLI) 0.786 0.781
##
## Robust Comparative Fit Index (CFI) 0.824
## Robust Tucker-Lewis Index (TLI) 0.800
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -5888.557 -5888.557
## Loglikelihood unrestricted model (H1) -5480.433 -5480.433
##
## Number of free parameters 81 81
## Akaike (AIC) 11939.113 11939.113
## Bayesian (BIC) 12199.962 12199.962
## Sample-size adjusted Bayesian (BIC) 11943.411 11943.411
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.113 0.097
## 90 Percent Confidence Interval 0.104 0.122 0.089 0.105
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.107
## 90 Percent Confidence Interval 0.098 0.117
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.086 0.086
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B2_PE1_Useful 0.872 0.096 9.115 0.000 0.872 0.709
## B2_PE2_WrtFstr 0.909 0.078 11.579 0.000 0.909 0.807
## B2_PE3_IncPrdc 0.835 0.071 11.741 0.000 0.835 0.806
## B2_PE4_IncPbCh 0.856 0.090 9.488 0.000 0.856 0.731
## B2_PE5_PosPR 0.797 0.090 8.806 0.000 0.797 0.703
## B2_PE6_EasrWrt 0.972 0.075 12.883 0.000 0.972 0.856
## B2_PE7_ImprvQl 0.810 0.097 8.363 0.000 0.810 0.688
## B2_PE8_MrEffcn 1.033 0.076 13.678 0.000 1.033 0.869
## B2_PE9_IncQlSE 0.962 0.071 13.589 0.000 0.962 0.833
## EE =~
## B2_EE1_EasyTUs 0.732 0.075 9.774 0.000 0.732 0.744
## B2_EE2_ClrUndr 0.865 0.073 11.906 0.000 0.865 0.799
## B2_EE3_BcmSkll 0.837 0.069 12.064 0.000 0.837 0.774
## B2_EE4_ToMchTm 0.648 0.096 6.786 0.000 0.648 0.569
## B2_EE5_TCmplct 0.807 0.081 9.984 0.000 0.807 0.690
## B2_EE6_TLngTLr 0.747 0.085 8.749 0.000 0.747 0.664
## SI =~
## B2_SI1_Peers 1.242 0.073 16.951 0.000 1.242 0.908
## B2_SI2_ResClmt 0.789 0.103 7.678 0.000 0.789 0.562
## B2_SI3_Superrs 1.230 0.084 14.701 0.000 1.230 0.890
## B2_SI4_Journls 0.567 0.095 5.991 0.000 0.567 0.462
## B2_SI5_Field 0.703 0.091 7.689 0.000 0.703 0.553
## FC =~
## B2_FC1_Knowldg 0.804 0.115 7.000 0.000 0.804 0.491
## B2_FC2_WrkflwC 0.978 0.083 11.846 0.000 0.978 0.780
## B2_FC4_FtsWlWW 1.035 0.074 14.045 0.000 1.035 0.875
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B2_BehIntUse ~
## PE 0.350 0.179 1.961 0.050 0.350 0.232
## EE 0.046 0.186 0.246 0.806 0.046 0.030
## SI 0.134 0.098 1.371 0.170 0.134 0.089
## FC 0.806 0.273 2.953 0.003 0.806 0.533
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EE 0.575 0.052 11.158 0.000 0.575 0.575
## SI 0.559 0.052 10.728 0.000 0.559 0.559
## FC 0.745 0.048 15.608 0.000 0.745 0.745
## EE ~~
## SI 0.373 0.073 5.086 0.000 0.373 0.373
## FC 0.801 0.045 17.761 0.000 0.801 0.801
## SI ~~
## FC 0.413 0.089 4.629 0.000 0.413 0.413
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 4.530 0.090 50.072 0.000 4.530 3.681
## .B2_PE2_WrtFstr 3.811 0.083 46.050 0.000 3.811 3.386
## .B2_PE3_IncPrdc 3.751 0.076 49.251 0.000 3.751 3.621
## .B2_PE4_IncPbCh 4.530 0.086 52.572 0.000 4.530 3.865
## .B2_PE5_PosPR 4.573 0.083 54.923 0.000 4.573 4.038
## .B2_PE6_EasrWrt 4.049 0.083 48.493 0.000 4.049 3.565
## .B2_PE7_ImprvQl 4.859 0.087 56.150 0.000 4.859 4.128
## .B2_PE8_MrEffcn 4.308 0.087 49.292 0.000 4.308 3.624
## .B2_PE9_IncQlSE 4.178 0.085 49.174 0.000 4.178 3.615
## .B2_EE1_EasyTUs 4.065 0.072 56.172 0.000 4.065 4.130
## .B2_EE2_ClrUndr 4.422 0.080 55.515 0.000 4.422 4.082
## .B2_EE3_BcmSkll 4.605 0.079 57.945 0.000 4.605 4.260
## .B2_EE4_ToMchTm 3.778 0.084 45.128 0.000 3.778 3.318
## .B2_EE5_TCmplct 4.373 0.086 50.835 0.000 4.373 3.737
## .B2_EE6_TLngTLr 4.141 0.083 50.038 0.000 4.141 3.679
## .B2_SI1_Peers 3.465 0.101 34.459 0.000 3.465 2.533
## .B2_SI2_ResClmt 4.157 0.103 40.281 0.000 4.157 2.962
## .B2_SI3_Superrs 3.308 0.102 32.553 0.000 3.308 2.393
## .B2_SI4_Journls 4.530 0.090 50.252 0.000 4.530 3.695
## .B2_SI5_Field 3.773 0.093 40.403 0.000 3.773 2.970
## .B2_FC1_Knowldg 4.211 0.120 34.951 0.000 4.211 2.570
## .B2_FC2_WrkflwC 4.362 0.092 47.329 0.000 4.362 3.480
## .B2_FC4_FtsWlWW 4.276 0.087 49.156 0.000 4.276 3.614
## .B2_BehIntUse 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 0.753 0.110 6.833 0.000 0.753 0.498
## .B2_PE2_WrtFstr 0.441 0.064 6.859 0.000 0.441 0.348
## .B2_PE3_IncPrdc 0.377 0.049 7.736 0.000 0.377 0.351
## .B2_PE4_IncPbCh 0.640 0.076 8.456 0.000 0.640 0.466
## .B2_PE5_PosPR 0.648 0.079 8.191 0.000 0.648 0.505
## .B2_PE6_EasrWrt 0.346 0.044 7.817 0.000 0.346 0.268
## .B2_PE7_ImprvQl 0.729 0.087 8.361 0.000 0.729 0.526
## .B2_PE8_MrEffcn 0.346 0.047 7.291 0.000 0.346 0.245
## .B2_PE9_IncQlSE 0.410 0.071 5.742 0.000 0.410 0.307
## .B2_EE1_EasyTUs 0.433 0.057 7.625 0.000 0.433 0.447
## .B2_EE2_ClrUndr 0.425 0.076 5.592 0.000 0.425 0.362
## .B2_EE3_BcmSkll 0.468 0.077 6.091 0.000 0.468 0.400
## .B2_EE4_ToMchTm 0.876 0.119 7.346 0.000 0.876 0.676
## .B2_EE5_TCmplct 0.718 0.119 6.043 0.000 0.718 0.524
## .B2_EE6_TLngTLr 0.709 0.098 7.204 0.000 0.709 0.559
## .B2_SI1_Peers 0.328 0.077 4.241 0.000 0.328 0.176
## .B2_SI2_ResClmt 1.348 0.150 8.979 0.000 1.348 0.684
## .B2_SI3_Superrs 0.397 0.117 3.391 0.001 0.397 0.208
## .B2_SI4_Journls 1.182 0.120 9.864 0.000 1.182 0.786
## .B2_SI5_Field 1.119 0.138 8.088 0.000 1.119 0.694
## .B2_FC1_Knowldg 2.039 0.216 9.430 0.000 2.039 0.759
## .B2_FC2_WrkflwC 0.615 0.111 5.552 0.000 0.615 0.391
## .B2_FC4_FtsWlWW 0.328 0.083 3.942 0.000 0.328 0.234
## .B2_BehIntUse 0.849 0.106 8.007 0.000 0.849 0.371
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B2_PE1_Useful 0.502
## B2_PE2_WrtFstr 0.652
## B2_PE3_IncPrdc 0.649
## B2_PE4_IncPbCh 0.534
## B2_PE5_PosPR 0.495
## B2_PE6_EasrWrt 0.732
## B2_PE7_ImprvQl 0.474
## B2_PE8_MrEffcn 0.755
## B2_PE9_IncQlSE 0.693
## B2_EE1_EasyTUs 0.553
## B2_EE2_ClrUndr 0.638
## B2_EE3_BcmSkll 0.600
## B2_EE4_ToMchTm 0.324
## B2_EE5_TCmplct 0.476
## B2_EE6_TLngTLr 0.441
## B2_SI1_Peers 0.824
## B2_SI2_ResClmt 0.316
## B2_SI3_Superrs 0.792
## B2_SI4_Journls 0.214
## B2_SI5_Field 0.306
## B2_FC1_Knowldg 0.241
## B2_FC2_WrkflwC 0.609
## B2_FC4_FtsWlWW 0.766
## B2_BehIntUse 0.629B2modelmodind2 <-
'PE =~ B2_PE1_Useful + B2_PE2_WriteFaster + B2_PE3_IncProductivity + B2_PE4_IncPubChances + B2_PE5_PosPR + B2_PE6_EasierWrite + B2_PE7_ImproveQuality + B2_PE8_MoreEfficient + B2_PE9_IncQualSameEffort
EE=~ B2_EE1_EasyToUse + B2_EE2_ClearUnderstandable + B2_EE3_BecomeSkillful + B2_EE4_TooMuchTime + B2_EE5_TooComplicated + B2_EE6_TooLongToLearn
SI=~ B2_SI1_Peers + B2_SI2_ResClimate + B2_SI3_Superiors + B2_SI4_Journals + B2_SI5_Field
FC=~ B2_FC1_Knowledge + B2_FC2_WorkflowCompatibility + B2_FC3_EasyToUse + B2_FC4_FitsWellWithWork
B2_BehIntUse ~ PE + EE + SI + FC
B2_EE5_TooComplicated ~~ B2_EE6_TooLongToLearn
B2_EE5_TooComplicated ~~ B2_EE4_TooMuchTime
B2_EE4_TooMuchTime ~~ B2_EE6_TooLongToLearn
B2_PE4_IncPubChances ~~ B2_PE5_PosPR
'
#fit the model
fitB2.2 <- cfa(model = B2modelmodind2, data = B2likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB2.2, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 49 iterations
##
## Optimization method NLMINB
## Number of free parameters 88
##
## Number of observations 185
##
## Estimator ML Robust
## Model Fit Test Statistic 680.794 557.724
## Degrees of freedom 262 262
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.221
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3581.712 2648.223
## Degrees of freedom 300 300
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.872 0.874
## Tucker-Lewis Index (TLI) 0.854 0.856
##
## Robust Comparative Fit Index (CFI) 0.886
## Robust Tucker-Lewis Index (TLI) 0.870
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -5959.390 -5959.390
## Loglikelihood unrestricted model (H1) -5618.993 -5618.993
##
## Number of free parameters 88 88
## Akaike (AIC) 12094.779 12094.779
## Bayesian (BIC) 12378.171 12378.171
## Sample-size adjusted Bayesian (BIC) 12099.448 12099.448
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.093 0.078
## 90 Percent Confidence Interval 0.084 0.102 0.070 0.086
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.086
## 90 Percent Confidence Interval 0.076 0.096
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.076 0.076
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B2_PE1_Useful 0.874 0.096 9.089 0.000 0.874 0.710
## B2_PE2_WrtFstr 0.923 0.078 11.774 0.000 0.923 0.820
## B2_PE3_IncPrdc 0.848 0.071 11.968 0.000 0.848 0.818
## B2_PE4_IncPbCh 0.820 0.092 8.881 0.000 0.820 0.700
## B2_PE5_PosPR 0.760 0.093 8.188 0.000 0.760 0.671
## B2_PE6_EasrWrt 0.978 0.076 12.862 0.000 0.978 0.861
## B2_PE7_ImprvQl 0.794 0.097 8.162 0.000 0.794 0.674
## B2_PE8_MrEffcn 1.031 0.076 13.527 0.000 1.031 0.867
## B2_PE9_IncQlSE 0.960 0.072 13.422 0.000 0.960 0.831
## EE =~
## B2_EE1_EasyTUs 0.761 0.074 10.313 0.000 0.761 0.773
## B2_EE2_ClrUndr 0.909 0.067 13.540 0.000 0.909 0.839
## B2_EE3_BcmSkll 0.853 0.069 12.320 0.000 0.853 0.789
## B2_EE4_ToMchTm 0.516 0.103 5.004 0.000 0.516 0.453
## B2_EE5_TCmplct 0.676 0.098 6.895 0.000 0.676 0.578
## B2_EE6_TLngTLr 0.617 0.097 6.345 0.000 0.617 0.548
## SI =~
## B2_SI1_Peers 1.242 0.073 16.988 0.000 1.242 0.908
## B2_SI2_ResClmt 0.788 0.103 7.669 0.000 0.788 0.561
## B2_SI3_Superrs 1.230 0.083 14.755 0.000 1.230 0.890
## B2_SI4_Journls 0.566 0.094 5.991 0.000 0.566 0.462
## B2_SI5_Field 0.703 0.091 7.697 0.000 0.703 0.553
## FC =~
## B2_FC1_Knowldg 0.855 0.106 8.078 0.000 0.855 0.522
## B2_FC2_WrkflwC 0.930 0.083 11.231 0.000 0.930 0.742
## B2_FC3_EasyTUs 0.923 0.068 13.532 0.000 0.923 0.869
## B2_FC4_FtsWlWW 0.978 0.073 13.333 0.000 0.978 0.826
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B2_BehIntUse ~
## PE 0.449 0.167 2.688 0.007 0.449 0.297
## EE -0.442 0.511 -0.864 0.388 -0.442 -0.292
## SI 0.103 0.109 0.945 0.345 0.103 0.068
## FC 1.150 0.574 2.004 0.045 1.150 0.761
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B2_EE5_TooComplicated ~~
## .B2_EE6_TLngTLr 0.579 0.136 4.266 0.000 0.579
## .B2_EE4_TooMuchTime ~~
## .B2_EE5_TCmplct 0.431 0.123 3.503 0.000 0.431
## .B2_EE6_TLngTLr 0.443 0.120 3.680 0.000 0.443
## .B2_PE4_IncPubChances ~~
## .B2_PE5_PosPR 0.436 0.074 5.896 0.000 0.436
## PE ~~
## EE 0.613 0.047 12.929 0.000 0.613
## SI 0.561 0.052 10.761 0.000 0.561
## FC 0.706 0.049 14.439 0.000 0.706
## EE ~~
## SI 0.399 0.074 5.405 0.000 0.399
## FC 0.938 0.038 24.789 0.000 0.938
## SI ~~
## FC 0.435 0.090 4.825 0.000 0.435
## Std.all
##
## 0.644
##
## 0.445
## 0.463
##
## 0.620
##
## 0.613
## 0.561
## 0.706
##
## 0.399
## 0.938
##
## 0.435
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 4.530 0.090 50.072 0.000 4.530 3.681
## .B2_PE2_WrtFstr 3.811 0.083 46.050 0.000 3.811 3.386
## .B2_PE3_IncPrdc 3.751 0.076 49.251 0.000 3.751 3.621
## .B2_PE4_IncPbCh 4.530 0.086 52.572 0.000 4.530 3.865
## .B2_PE5_PosPR 4.573 0.083 54.923 0.000 4.573 4.038
## .B2_PE6_EasrWrt 4.049 0.083 48.493 0.000 4.049 3.565
## .B2_PE7_ImprvQl 4.859 0.087 56.150 0.000 4.859 4.128
## .B2_PE8_MrEffcn 4.308 0.087 49.292 0.000 4.308 3.624
## .B2_PE9_IncQlSE 4.178 0.085 49.174 0.000 4.178 3.615
## .B2_EE1_EasyTUs 4.065 0.072 56.172 0.000 4.065 4.130
## .B2_EE2_ClrUndr 4.422 0.080 55.515 0.000 4.422 4.082
## .B2_EE3_BcmSkll 4.605 0.079 57.945 0.000 4.605 4.260
## .B2_EE4_ToMchTm 3.778 0.084 45.128 0.000 3.778 3.318
## .B2_EE5_TCmplct 4.373 0.086 50.835 0.000 4.373 3.737
## .B2_EE6_TLngTLr 4.141 0.083 50.038 0.000 4.141 3.679
## .B2_SI1_Peers 3.465 0.101 34.459 0.000 3.465 2.533
## .B2_SI2_ResClmt 4.157 0.103 40.281 0.000 4.157 2.962
## .B2_SI3_Superrs 3.308 0.102 32.553 0.000 3.308 2.393
## .B2_SI4_Journls 4.530 0.090 50.252 0.000 4.530 3.695
## .B2_SI5_Field 3.773 0.093 40.403 0.000 3.773 2.970
## .B2_FC1_Knowldg 4.211 0.120 34.951 0.000 4.211 2.570
## .B2_FC2_WrkflwC 4.362 0.092 47.329 0.000 4.362 3.480
## .B2_FC3_EasyTUs 4.297 0.078 55.038 0.000 4.297 4.046
## .B2_FC4_FtsWlWW 4.276 0.087 49.156 0.000 4.276 3.614
## .B2_BehIntUse 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 0.751 0.109 6.864 0.000 0.751 0.496
## .B2_PE2_WrtFstr 0.416 0.066 6.284 0.000 0.416 0.328
## .B2_PE3_IncPrdc 0.355 0.048 7.458 0.000 0.355 0.331
## .B2_PE4_IncPbCh 0.701 0.081 8.630 0.000 0.701 0.511
## .B2_PE5_PosPR 0.706 0.082 8.603 0.000 0.706 0.550
## .B2_PE6_EasrWrt 0.333 0.044 7.545 0.000 0.333 0.258
## .B2_PE7_ImprvQl 0.755 0.087 8.711 0.000 0.755 0.545
## .B2_PE8_MrEffcn 0.351 0.049 7.226 0.000 0.351 0.248
## .B2_PE9_IncQlSE 0.413 0.073 5.657 0.000 0.413 0.309
## .B2_EE1_EasyTUs 0.389 0.052 7.519 0.000 0.389 0.402
## .B2_EE2_ClrUndr 0.347 0.065 5.335 0.000 0.347 0.295
## .B2_EE3_BcmSkll 0.441 0.074 5.925 0.000 0.441 0.377
## .B2_EE4_ToMchTm 1.031 0.135 7.631 0.000 1.031 0.795
## .B2_EE5_TCmplct 0.912 0.148 6.180 0.000 0.912 0.666
## .B2_EE6_TLngTLr 0.886 0.126 7.031 0.000 0.886 0.700
## .B2_SI1_Peers 0.328 0.078 4.216 0.000 0.328 0.175
## .B2_SI2_ResClmt 1.349 0.150 8.992 0.000 1.349 0.685
## .B2_SI3_Superrs 0.397 0.116 3.416 0.001 0.397 0.208
## .B2_SI4_Journls 1.183 0.120 9.862 0.000 1.183 0.787
## .B2_SI5_Field 1.119 0.138 8.106 0.000 1.119 0.694
## .B2_FC1_Knowldg 1.954 0.203 9.623 0.000 1.954 0.728
## .B2_FC2_WrkflwC 0.706 0.111 6.386 0.000 0.706 0.449
## .B2_FC3_EasyTUs 0.276 0.049 5.617 0.000 0.276 0.244
## .B2_FC4_FtsWlWW 0.444 0.076 5.867 0.000 0.444 0.317
## .B2_BehIntUse 0.905 0.116 7.817 0.000 0.905 0.396
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B2_PE1_Useful 0.504
## B2_PE2_WrtFstr 0.672
## B2_PE3_IncPrdc 0.669
## B2_PE4_IncPbCh 0.489
## B2_PE5_PosPR 0.450
## B2_PE6_EasrWrt 0.742
## B2_PE7_ImprvQl 0.455
## B2_PE8_MrEffcn 0.752
## B2_PE9_IncQlSE 0.691
## B2_EE1_EasyTUs 0.598
## B2_EE2_ClrUndr 0.705
## B2_EE3_BcmSkll 0.623
## B2_EE4_ToMchTm 0.205
## B2_EE5_TCmplct 0.334
## B2_EE6_TLngTLr 0.300
## B2_SI1_Peers 0.825
## B2_SI2_ResClmt 0.315
## B2_SI3_Superrs 0.792
## B2_SI4_Journls 0.213
## B2_SI5_Field 0.306
## B2_FC1_Knowldg 0.272
## B2_FC2_WrkflwC 0.551
## B2_FC3_EasyTUs 0.756
## B2_FC4_FtsWlWW 0.683
## B2_BehIntUse 0.604#compare new and old models
anova(fitB2, fitB2.2)## Scaled Chi Square Difference Test (method = "satorra.bentler.2001")
##
## Df AIC BIC Chisq Chisq diff Df diff Pr(>Chisq)
## fitB2.2 262 12095 12378 680.79
## fitB2 266 12306 12576 899.75 112.42 4 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1B2modelmodind2dropfc3 <-
'PE =~ B2_PE1_Useful + B2_PE2_WriteFaster + B2_PE3_IncProductivity + B2_PE4_IncPubChances + B2_PE5_PosPR + B2_PE6_EasierWrite + B2_PE7_ImproveQuality + B2_PE8_MoreEfficient + B2_PE9_IncQualSameEffort
EE=~ B2_EE1_EasyToUse + B2_EE2_ClearUnderstandable + B2_EE3_BecomeSkillful + B2_EE4_TooMuchTime + B2_EE5_TooComplicated + B2_EE6_TooLongToLearn
SI=~ B2_SI1_Peers + B2_SI2_ResClimate + B2_SI3_Superiors + B2_SI4_Journals + B2_SI5_Field
FC=~ B2_FC1_Knowledge + B2_FC2_WorkflowCompatibility + B2_FC4_FitsWellWithWork
B2_BehIntUse ~ PE + EE + SI + FC
B2_EE5_TooComplicated ~~ B2_EE6_TooLongToLearn
B2_EE5_TooComplicated ~~ B2_EE4_TooMuchTime
B2_EE4_TooMuchTime ~~ B2_EE6_TooLongToLearn
B2_PE4_IncPubChances ~~ B2_PE5_PosPR
'
#fit the model
fitB2.2dropfc3 <- cfa(model = B2modelmodind2dropfc3, data = B2likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB2.2dropfc3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 41 iterations
##
## Optimization method NLMINB
## Number of free parameters 85
##
## Number of observations 185
##
## Estimator ML Robust
## Model Fit Test Statistic 603.535 496.303
## Degrees of freedom 239 239
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.216
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3311.570 2452.694
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.880 0.882
## Tucker-Lewis Index (TLI) 0.861 0.863
##
## Robust Comparative Fit Index (CFI) 0.894
## Robust Tucker-Lewis Index (TLI) 0.877
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -5782.200 -5782.200
## Loglikelihood unrestricted model (H1) -5480.433 -5480.433
##
## Number of free parameters 85 85
## Akaike (AIC) 11734.401 11734.401
## Bayesian (BIC) 12008.131 12008.131
## Sample-size adjusted Bayesian (BIC) 11738.910 11738.910
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.091 0.076
## 90 Percent Confidence Interval 0.082 0.100 0.068 0.085
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.084
## 90 Percent Confidence Interval 0.074 0.095
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.075 0.075
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B2_PE1_Useful 0.873 0.096 9.077 0.000 0.873 0.710
## B2_PE2_WrtFstr 0.924 0.078 11.816 0.000 0.924 0.821
## B2_PE3_IncPrdc 0.846 0.071 11.923 0.000 0.846 0.817
## B2_PE4_IncPbCh 0.820 0.092 8.886 0.000 0.820 0.699
## B2_PE5_PosPR 0.758 0.093 8.178 0.000 0.758 0.670
## B2_PE6_EasrWrt 0.978 0.076 12.834 0.000 0.978 0.861
## B2_PE7_ImprvQl 0.795 0.097 8.190 0.000 0.795 0.675
## B2_PE8_MrEffcn 1.031 0.076 13.548 0.000 1.031 0.867
## B2_PE9_IncQlSE 0.961 0.072 13.431 0.000 0.961 0.831
## EE =~
## B2_EE1_EasyTUs 0.759 0.073 10.355 0.000 0.759 0.771
## B2_EE2_ClrUndr 0.902 0.069 13.135 0.000 0.902 0.833
## B2_EE3_BcmSkll 0.861 0.070 12.371 0.000 0.861 0.797
## B2_EE4_ToMchTm 0.528 0.104 5.074 0.000 0.528 0.464
## B2_EE5_TCmplct 0.678 0.099 6.854 0.000 0.678 0.579
## B2_EE6_TLngTLr 0.610 0.099 6.182 0.000 0.610 0.542
## SI =~
## B2_SI1_Peers 1.243 0.073 17.026 0.000 1.243 0.909
## B2_SI2_ResClmt 0.788 0.103 7.669 0.000 0.788 0.562
## B2_SI3_Superrs 1.230 0.083 14.732 0.000 1.230 0.890
## B2_SI4_Journls 0.566 0.095 5.972 0.000 0.566 0.461
## B2_SI5_Field 0.702 0.091 7.690 0.000 0.702 0.553
## FC =~
## B2_FC1_Knowldg 0.803 0.115 6.995 0.000 0.803 0.490
## B2_FC2_WrkflwC 0.974 0.083 11.777 0.000 0.974 0.777
## B2_FC4_FtsWlWW 1.039 0.074 14.092 0.000 1.039 0.878
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B2_BehIntUse ~
## PE 0.323 0.184 1.754 0.079 0.323 0.213
## EE -0.044 0.221 -0.200 0.842 -0.044 -0.029
## SI 0.148 0.101 1.461 0.144 0.148 0.098
## FC 0.894 0.305 2.935 0.003 0.894 0.591
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B2_EE5_TooComplicated ~~
## .B2_EE6_TLngTLr 0.583 0.136 4.273 0.000 0.583
## .B2_EE4_TooMuchTime ~~
## .B2_EE5_TCmplct 0.422 0.126 3.353 0.001 0.422
## .B2_EE6_TLngTLr 0.439 0.122 3.612 0.000 0.439
## .B2_PE4_IncPubChances ~~
## .B2_PE5_PosPR 0.437 0.074 5.915 0.000 0.437
## PE ~~
## EE 0.615 0.047 13.016 0.000 0.615
## SI 0.561 0.052 10.759 0.000 0.561
## FC 0.749 0.047 15.808 0.000 0.749
## EE ~~
## SI 0.400 0.074 5.412 0.000 0.400
## FC 0.828 0.044 18.764 0.000 0.828
## SI ~~
## FC 0.411 0.089 4.613 0.000 0.411
## Std.all
##
## 0.646
##
## 0.439
## 0.460
##
## 0.620
##
## 0.615
## 0.561
## 0.749
##
## 0.400
## 0.828
##
## 0.411
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 4.530 0.090 50.072 0.000 4.530 3.681
## .B2_PE2_WrtFstr 3.811 0.083 46.050 0.000 3.811 3.386
## .B2_PE3_IncPrdc 3.751 0.076 49.251 0.000 3.751 3.621
## .B2_PE4_IncPbCh 4.530 0.086 52.572 0.000 4.530 3.865
## .B2_PE5_PosPR 4.573 0.083 54.923 0.000 4.573 4.038
## .B2_PE6_EasrWrt 4.049 0.083 48.493 0.000 4.049 3.565
## .B2_PE7_ImprvQl 4.859 0.087 56.150 0.000 4.859 4.128
## .B2_PE8_MrEffcn 4.308 0.087 49.292 0.000 4.308 3.624
## .B2_PE9_IncQlSE 4.178 0.085 49.174 0.000 4.178 3.615
## .B2_EE1_EasyTUs 4.065 0.072 56.172 0.000 4.065 4.130
## .B2_EE2_ClrUndr 4.422 0.080 55.515 0.000 4.422 4.082
## .B2_EE3_BcmSkll 4.605 0.079 57.945 0.000 4.605 4.260
## .B2_EE4_ToMchTm 3.778 0.084 45.128 0.000 3.778 3.318
## .B2_EE5_TCmplct 4.373 0.086 50.835 0.000 4.373 3.737
## .B2_EE6_TLngTLr 4.141 0.083 50.038 0.000 4.141 3.679
## .B2_SI1_Peers 3.465 0.101 34.459 0.000 3.465 2.533
## .B2_SI2_ResClmt 4.157 0.103 40.281 0.000 4.157 2.962
## .B2_SI3_Superrs 3.308 0.102 32.553 0.000 3.308 2.393
## .B2_SI4_Journls 4.530 0.090 50.252 0.000 4.530 3.695
## .B2_SI5_Field 3.773 0.093 40.403 0.000 3.773 2.970
## .B2_FC1_Knowldg 4.211 0.120 34.951 0.000 4.211 2.570
## .B2_FC2_WrkflwC 4.362 0.092 47.329 0.000 4.362 3.480
## .B2_FC4_FtsWlWW 4.276 0.087 49.156 0.000 4.276 3.614
## .B2_BehIntUse 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 0.751 0.110 6.826 0.000 0.751 0.496
## .B2_PE2_WrtFstr 0.413 0.065 6.335 0.000 0.413 0.326
## .B2_PE3_IncPrdc 0.357 0.048 7.452 0.000 0.357 0.333
## .B2_PE4_IncPbCh 0.701 0.081 8.647 0.000 0.701 0.511
## .B2_PE5_PosPR 0.708 0.082 8.609 0.000 0.708 0.552
## .B2_PE6_EasrWrt 0.334 0.044 7.546 0.000 0.334 0.259
## .B2_PE7_ImprvQl 0.754 0.087 8.710 0.000 0.754 0.544
## .B2_PE8_MrEffcn 0.350 0.048 7.258 0.000 0.350 0.248
## .B2_PE9_IncQlSE 0.413 0.073 5.674 0.000 0.413 0.309
## .B2_EE1_EasyTUs 0.393 0.055 7.104 0.000 0.393 0.406
## .B2_EE2_ClrUndr 0.359 0.069 5.224 0.000 0.359 0.306
## .B2_EE3_BcmSkll 0.426 0.077 5.508 0.000 0.426 0.365
## .B2_EE4_ToMchTm 1.018 0.134 7.575 0.000 1.018 0.785
## .B2_EE5_TCmplct 0.909 0.150 6.079 0.000 0.909 0.664
## .B2_EE6_TLngTLr 0.895 0.126 7.094 0.000 0.895 0.707
## .B2_SI1_Peers 0.326 0.077 4.250 0.000 0.326 0.174
## .B2_SI2_ResClmt 1.349 0.150 8.977 0.000 1.349 0.685
## .B2_SI3_Superrs 0.398 0.116 3.417 0.001 0.398 0.208
## .B2_SI4_Journls 1.183 0.120 9.866 0.000 1.183 0.787
## .B2_SI5_Field 1.120 0.138 8.103 0.000 1.120 0.694
## .B2_FC1_Knowldg 2.041 0.216 9.452 0.000 2.041 0.760
## .B2_FC2_WrkflwC 0.623 0.112 5.587 0.000 0.623 0.397
## .B2_FC4_FtsWlWW 0.321 0.083 3.876 0.000 0.321 0.229
## .B2_BehIntUse 0.853 0.109 7.789 0.000 0.853 0.373
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B2_PE1_Useful 0.504
## B2_PE2_WrtFstr 0.674
## B2_PE3_IncPrdc 0.667
## B2_PE4_IncPbCh 0.489
## B2_PE5_PosPR 0.448
## B2_PE6_EasrWrt 0.741
## B2_PE7_ImprvQl 0.456
## B2_PE8_MrEffcn 0.752
## B2_PE9_IncQlSE 0.691
## B2_EE1_EasyTUs 0.594
## B2_EE2_ClrUndr 0.694
## B2_EE3_BcmSkll 0.635
## B2_EE4_ToMchTm 0.215
## B2_EE5_TCmplct 0.336
## B2_EE6_TLngTLr 0.293
## B2_SI1_Peers 0.826
## B2_SI2_ResClmt 0.315
## B2_SI3_Superrs 0.792
## B2_SI4_Journls 0.213
## B2_SI5_Field 0.306
## B2_FC1_Knowldg 0.240
## B2_FC2_WrkflwC 0.603
## B2_FC4_FtsWlWW 0.771
## B2_BehIntUse 0.627#compare new and old models
anova(fitB2, fitB2.2dropfc3)## Warning in lavTestLRT(object = <S4 object of class structure("lavaan",
## package = "lavaan")>, : lavaan WARNING: some models are based on a
## different set of observed variables## Scaled Chi Square Difference Test (method = "satorra.bentler.2001")
##
## Df AIC BIC Chisq Chisq diff Df diff Pr(>Chisq)
## fitB2.2dropfc3 239 11734 12008 603.54
## fitB2 266 12306 12576 899.75 216.35 27 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1modificationindices(fitB2.2dropfc3, sort = TRUE)## lhs op rhs mi
## 400 B2_SI1_Peers ~~ B2_SI3_Superiors 61.352
## 186 B2_PE2_WriteFaster ~~ B2_PE3_IncProductivity 25.985
## 408 B2_SI2_ResClimate ~~ B2_SI4_Journals 25.362
## 108 EE =~ B2_PE1_Useful 17.577
## 420 B2_SI4_Journals ~~ B2_SI5_Field 16.806
## 211 B2_PE3_IncProductivity ~~ B2_PE7_ImproveQuality 16.527
## 429 B2_FC1_Knowledge ~~ B2_FC2_WorkflowCompatibility 16.364
## 290 B2_PE7_ImproveQuality ~~ B2_EE4_TooMuchTime 16.015
## 377 B2_EE4_TooMuchTime ~~ B2_FC1_Knowledge 13.803
## 302 B2_PE8_MoreEfficient ~~ B2_PE9_IncQualSameEffort 12.601
## 104 PE =~ B2_SI5_Field 11.780
## 434 B2_FC4_FitsWellWithWork ~~ B2_BehIntUse 11.778
## 287 B2_PE7_ImproveQuality ~~ B2_EE1_EasyToUse 11.712
## 214 B2_PE3_IncProductivity ~~ B2_EE1_EasyToUse 11.582
## 334 B2_EE1_EasyToUse ~~ B2_EE3_BecomeSkillful 10.457
## 407 B2_SI2_ResClimate ~~ B2_SI3_Superiors 10.031
## 433 B2_FC2_WorkflowCompatibility ~~ B2_BehIntUse 9.887
## 178 B2_PE1_Useful ~~ B2_SI2_ResClimate 9.790
## 255 B2_PE5_PosPR ~~ B2_EE4_TooMuchTime 9.664
## 103 PE =~ B2_SI4_Journals 9.118
## 187 B2_PE2_WriteFaster ~~ B2_PE4_IncPubChances 9.114
## 158 FC =~ B2_SI1_Peers 9.107
## 191 B2_PE2_WriteFaster ~~ B2_PE8_MoreEfficient 8.981
## 100 PE =~ B2_SI1_Peers 8.817
## 401 B2_SI1_Peers ~~ B2_SI4_Journals 8.756
## 175 B2_PE1_Useful ~~ B2_EE5_TooComplicated 8.736
## 200 B2_PE2_WriteFaster ~~ B2_SI2_ResClimate 8.058
## 109 EE =~ B2_PE2_WriteFaster 7.983
## 296 B2_PE7_ImproveQuality ~~ B2_SI4_Journals 7.954
## 169 B2_PE1_Useful ~~ B2_PE8_MoreEfficient 7.935
## 95 PE =~ B2_EE2_ClearUnderstandable 7.761
## 216 B2_PE3_IncProductivity ~~ B2_EE3_BecomeSkillful 7.721
## 143 FC =~ B2_PE1_Useful 7.676
## 168 B2_PE1_Useful ~~ B2_PE7_ImproveQuality 7.496
## 182 B2_PE1_Useful ~~ B2_FC1_Knowledge 7.335
## 199 B2_PE2_WriteFaster ~~ B2_SI1_Peers 7.185
## 118 EE =~ B2_SI2_ResClimate 7.131
## 153 FC =~ B2_EE2_ClearUnderstandable 7.099
## 162 FC =~ B2_SI5_Field 6.984
## 180 B2_PE1_Useful ~~ B2_SI4_Journals 6.756
## 382 B2_EE5_TooComplicated ~~ B2_SI2_ResClimate 6.745
## 144 FC =~ B2_PE2_WriteFaster 6.744
## 218 B2_PE3_IncProductivity ~~ B2_EE5_TooComplicated 6.715
## 154 FC =~ B2_EE3_BecomeSkillful 6.610
## 430 B2_FC1_Knowledge ~~ B2_FC4_FitsWellWithWork 6.462
## 249 B2_PE5_PosPR ~~ B2_PE7_ImproveQuality 6.303
## 304 B2_PE8_MoreEfficient ~~ B2_EE2_ClearUnderstandable 6.245
## 414 B2_SI3_Superiors ~~ B2_SI4_Journals 6.210
## 101 PE =~ B2_SI2_ResClimate 6.149
## 161 FC =~ B2_SI4_Journals 6.107
## 190 B2_PE2_WriteFaster ~~ B2_PE7_ImproveQuality 6.022
## 291 B2_PE7_ImproveQuality ~~ B2_EE5_TooComplicated 6.001
## 173 B2_PE1_Useful ~~ B2_EE3_BecomeSkillful 5.848
## 117 EE =~ B2_SI1_Peers 5.811
## 225 B2_PE3_IncProductivity ~~ B2_FC1_Knowledge 5.803
## 210 B2_PE3_IncProductivity ~~ B2_PE6_EasierWrite 5.776
## 411 B2_SI2_ResClimate ~~ B2_FC2_WorkflowCompatibility 5.564
## 333 B2_EE1_EasyToUse ~~ B2_EE2_ClearUnderstandable 5.518
## 265 B2_PE5_PosPR ~~ B2_FC4_FitsWellWithWork 5.517
## 159 FC =~ B2_SI2_ResClimate 5.472
## 156 FC =~ B2_EE5_TooComplicated 5.391
## 174 B2_PE1_Useful ~~ B2_EE4_TooMuchTime 5.387
## 349 B2_EE2_ClearUnderstandable ~~ B2_EE5_TooComplicated 5.293
## 271 B2_PE6_EasierWrite ~~ B2_EE2_ClearUnderstandable 5.272
## 105 PE =~ B2_FC1_Knowledge 5.259
## 299 B2_PE7_ImproveQuality ~~ B2_FC2_WorkflowCompatibility 5.111
## 369 B2_EE3_BecomeSkillful ~~ B2_FC2_WorkflowCompatibility 5.061
## 274 B2_PE6_EasierWrite ~~ B2_EE5_TooComplicated 4.869
## 398 B2_EE6_TooLongToLearn ~~ B2_BehIntUse 4.734
## 172 B2_PE1_Useful ~~ B2_EE2_ClearUnderstandable 4.691
## 405 B2_SI1_Peers ~~ B2_FC4_FitsWellWithWork 4.663
## 335 B2_EE1_EasyToUse ~~ B2_EE4_TooMuchTime 4.410
## 253 B2_PE5_PosPR ~~ B2_EE2_ClearUnderstandable 4.379
## 134 SI =~ B2_EE1_EasyToUse 4.243
## 314 B2_PE8_MoreEfficient ~~ B2_FC1_Knowledge 4.046
## 94 PE =~ B2_EE1_EasyToUse 4.032
## 326 B2_PE9_IncQualSameEffort ~~ B2_SI3_Superiors 4.019
## 167 B2_PE1_Useful ~~ B2_PE6_EasierWrite 3.982
## 319 B2_PE9_IncQualSameEffort ~~ B2_EE2_ClearUnderstandable 3.830
## 215 B2_PE3_IncProductivity ~~ B2_EE2_ClearUnderstandable 3.817
## 273 B2_PE6_EasierWrite ~~ B2_EE4_TooMuchTime 3.760
## 122 EE =~ B2_FC1_Knowledge 3.728
## 294 B2_PE7_ImproveQuality ~~ B2_SI2_ResClimate 3.711
## 422 B2_SI4_Journals ~~ B2_FC2_WorkflowCompatibility 3.606
## 106 PE =~ B2_FC2_WorkflowCompatibility 3.423
## 96 PE =~ B2_EE3_BecomeSkillful 3.417
## 404 B2_SI1_Peers ~~ B2_FC2_WorkflowCompatibility 3.405
## 196 B2_PE2_WriteFaster ~~ B2_EE4_TooMuchTime 3.401
## 329 B2_PE9_IncQualSameEffort ~~ B2_FC1_Knowledge 3.304
## 379 B2_EE4_TooMuchTime ~~ B2_FC4_FitsWellWithWork 3.301
## 350 B2_EE2_ClearUnderstandable ~~ B2_EE6_TooLongToLearn 3.248
## 120 EE =~ B2_SI4_Journals 3.199
## 142 SI =~ B2_FC4_FitsWellWithWork 3.165
## 113 EE =~ B2_PE6_EasierWrite 3.146
## 395 B2_EE6_TooLongToLearn ~~ B2_FC1_Knowledge 3.117
## 402 B2_SI1_Peers ~~ B2_SI5_Field 3.095
## 261 B2_PE5_PosPR ~~ B2_SI4_Journals 3.091
## 423 B2_SI4_Journals ~~ B2_FC4_FitsWellWithWork 3.046
## 183 B2_PE1_Useful ~~ B2_FC2_WorkflowCompatibility 2.918
## 141 SI =~ B2_FC2_WorkflowCompatibility 2.890
## 371 B2_EE3_BecomeSkillful ~~ B2_BehIntUse 2.866
## 360 B2_EE3_BecomeSkillful ~~ B2_EE4_TooMuchTime 2.859
## 192 B2_PE2_WriteFaster ~~ B2_PE9_IncQualSameEffort 2.835
## 223 B2_PE3_IncProductivity ~~ B2_SI4_Journals 2.808
## 357 B2_EE2_ClearUnderstandable ~~ B2_FC2_WorkflowCompatibility 2.787
## 387 B2_EE5_TooComplicated ~~ B2_FC2_WorkflowCompatibility 2.778
## 359 B2_EE2_ClearUnderstandable ~~ B2_BehIntUse 2.735
## 295 B2_PE7_ImproveQuality ~~ B2_SI3_Superiors 2.712
## 197 B2_PE2_WriteFaster ~~ B2_EE5_TooComplicated 2.707
## 148 FC =~ B2_PE6_EasierWrite 2.641
## 189 B2_PE2_WriteFaster ~~ B2_PE6_EasierWrite 2.607
## 252 B2_PE5_PosPR ~~ B2_EE1_EasyToUse 2.602
## 157 FC =~ B2_EE6_TooLongToLearn 2.541
## 279 B2_PE6_EasierWrite ~~ B2_SI4_Journals 2.490
## 202 B2_PE2_WriteFaster ~~ B2_SI4_Journals 2.472
## 203 B2_PE2_WriteFaster ~~ B2_SI5_Field 2.448
## 362 B2_EE3_BecomeSkillful ~~ B2_EE6_TooLongToLearn 2.436
## 285 B2_PE7_ImproveQuality ~~ B2_PE8_MoreEfficient 2.408
## 356 B2_EE2_ClearUnderstandable ~~ B2_FC1_Knowledge 2.386
## 425 B2_SI5_Field ~~ B2_FC1_Knowledge 2.370
## 281 B2_PE6_EasierWrite ~~ B2_FC1_Knowledge 2.323
## 116 EE =~ B2_PE9_IncQualSameEffort 2.321
## 256 B2_PE5_PosPR ~~ B2_EE5_TooComplicated 2.266
## 284 B2_PE6_EasierWrite ~~ B2_BehIntUse 2.226
## 232 B2_PE4_IncPubChances ~~ B2_PE9_IncQualSameEffort 2.188
## 355 B2_EE2_ClearUnderstandable ~~ B2_SI5_Field 2.129
## 415 B2_SI3_Superiors ~~ B2_SI5_Field 2.052
## 323 B2_PE9_IncQualSameEffort ~~ B2_EE6_TooLongToLearn 2.025
## 297 B2_PE7_ImproveQuality ~~ B2_SI5_Field 1.996
## 242 B2_PE4_IncPubChances ~~ B2_SI4_Journals 1.981
## 213 B2_PE3_IncProductivity ~~ B2_PE9_IncQualSameEffort 1.977
## 277 B2_PE6_EasierWrite ~~ B2_SI2_ResClimate 1.967
## 239 B2_PE4_IncPubChances ~~ B2_SI1_Peers 1.963
## 145 FC =~ B2_PE3_IncProductivity 1.898
## 263 B2_PE5_PosPR ~~ B2_FC1_Knowledge 1.869
## 306 B2_PE8_MoreEfficient ~~ B2_EE4_TooMuchTime 1.823
## 234 B2_PE4_IncPubChances ~~ B2_EE2_ClearUnderstandable 1.786
## 280 B2_PE6_EasierWrite ~~ B2_SI5_Field 1.760
## 270 B2_PE6_EasierWrite ~~ B2_EE1_EasyToUse 1.741
## 121 EE =~ B2_SI5_Field 1.741
## 226 B2_PE3_IncProductivity ~~ B2_FC2_WorkflowCompatibility 1.712
## 385 B2_EE5_TooComplicated ~~ B2_SI5_Field 1.637
## 240 B2_PE4_IncPubChances ~~ B2_SI2_ResClimate 1.629
## 289 B2_PE7_ImproveQuality ~~ B2_EE3_BecomeSkillful 1.596
## 367 B2_EE3_BecomeSkillful ~~ B2_SI5_Field 1.594
## 206 B2_PE2_WriteFaster ~~ B2_FC4_FitsWellWithWork 1.594
## 231 B2_PE4_IncPubChances ~~ B2_PE8_MoreEfficient 1.592
## 278 B2_PE6_EasierWrite ~~ B2_SI3_Superiors 1.555
## 428 B2_SI5_Field ~~ B2_BehIntUse 1.530
## 388 B2_EE5_TooComplicated ~~ B2_FC4_FitsWellWithWork 1.500
## 111 EE =~ B2_PE4_IncPubChances 1.500
## 135 SI =~ B2_EE2_ClearUnderstandable 1.496
## 292 B2_PE7_ImproveQuality ~~ B2_EE6_TooLongToLearn 1.446
## 346 B2_EE1_EasyToUse ~~ B2_BehIntUse 1.416
## 236 B2_PE4_IncPubChances ~~ B2_EE4_TooMuchTime 1.408
## 309 B2_PE8_MoreEfficient ~~ B2_SI1_Peers 1.402
## 209 B2_PE3_IncProductivity ~~ B2_PE5_PosPR 1.400
## 275 B2_PE6_EasierWrite ~~ B2_EE6_TooLongToLearn 1.383
## 176 B2_PE1_Useful ~~ B2_EE6_TooLongToLearn 1.363
## 337 B2_EE1_EasyToUse ~~ B2_EE6_TooLongToLearn 1.362
## 391 B2_EE6_TooLongToLearn ~~ B2_SI2_ResClimate 1.325
## 179 B2_PE1_Useful ~~ B2_SI3_Superiors 1.278
## 327 B2_PE9_IncQualSameEffort ~~ B2_SI4_Journals 1.268
## 262 B2_PE5_PosPR ~~ B2_SI5_Field 1.225
## 322 B2_PE9_IncQualSameEffort ~~ B2_EE5_TooComplicated 1.207
## 212 B2_PE3_IncProductivity ~~ B2_PE8_MoreEfficient 1.206
## 324 B2_PE9_IncQualSameEffort ~~ B2_SI1_Peers 1.177
## 266 B2_PE5_PosPR ~~ B2_BehIntUse 1.141
## 269 B2_PE6_EasierWrite ~~ B2_PE9_IncQualSameEffort 1.136
## 386 B2_EE5_TooComplicated ~~ B2_FC1_Knowledge 1.124
## 268 B2_PE6_EasierWrite ~~ B2_PE8_MoreEfficient 1.123
## 126 SI =~ B2_PE2_WriteFaster 1.103
## 305 B2_PE8_MoreEfficient ~~ B2_EE3_BecomeSkillful 1.021
## 230 B2_PE4_IncPubChances ~~ B2_PE7_ImproveQuality 1.009
## 358 B2_EE2_ClearUnderstandable ~~ B2_FC4_FitsWellWithWork 1.006
## 427 B2_SI5_Field ~~ B2_FC4_FitsWellWithWork 1.003
## 307 B2_PE8_MoreEfficient ~~ B2_EE5_TooComplicated 0.953
## 393 B2_EE6_TooLongToLearn ~~ B2_SI4_Journals 0.950
## 128 SI =~ B2_PE4_IncPubChances 0.913
## 102 PE =~ B2_SI3_Superiors 0.907
## 221 B2_PE3_IncProductivity ~~ B2_SI2_ResClimate 0.904
## 412 B2_SI2_ResClimate ~~ B2_FC4_FitsWellWithWork 0.885
## 325 B2_PE9_IncQualSameEffort ~~ B2_SI2_ResClimate 0.853
## 171 B2_PE1_Useful ~~ B2_EE1_EasyToUse 0.831
## 194 B2_PE2_WriteFaster ~~ B2_EE2_ClearUnderstandable 0.814
## 352 B2_EE2_ClearUnderstandable ~~ B2_SI2_ResClimate 0.811
## 132 SI =~ B2_PE8_MoreEfficient 0.801
## 115 EE =~ B2_PE8_MoreEfficient 0.794
## 219 B2_PE3_IncProductivity ~~ B2_EE6_TooLongToLearn 0.789
## 238 B2_PE4_IncPubChances ~~ B2_EE6_TooLongToLearn 0.788
## 313 B2_PE8_MoreEfficient ~~ B2_SI5_Field 0.780
## 282 B2_PE6_EasierWrite ~~ B2_FC2_WorkflowCompatibility 0.761
## 222 B2_PE3_IncProductivity ~~ B2_SI3_Superiors 0.759
## 204 B2_PE2_WriteFaster ~~ B2_FC1_Knowledge 0.754
## 301 B2_PE7_ImproveQuality ~~ B2_BehIntUse 0.745
## 345 B2_EE1_EasyToUse ~~ B2_FC4_FitsWellWithWork 0.744
## 364 B2_EE3_BecomeSkillful ~~ B2_SI2_ResClimate 0.703
## 344 B2_EE1_EasyToUse ~~ B2_FC2_WorkflowCompatibility 0.701
## 293 B2_PE7_ImproveQuality ~~ B2_SI1_Peers 0.695
## 258 B2_PE5_PosPR ~~ B2_SI1_Peers 0.681
## 125 SI =~ B2_PE1_Useful 0.679
## 406 B2_SI1_Peers ~~ B2_BehIntUse 0.679
## 340 B2_EE1_EasyToUse ~~ B2_SI3_Superiors 0.678
## 129 SI =~ B2_PE5_PosPR 0.672
## 245 B2_PE4_IncPubChances ~~ B2_FC2_WorkflowCompatibility 0.669
## 338 B2_EE1_EasyToUse ~~ B2_SI1_Peers 0.667
## 348 B2_EE2_ClearUnderstandable ~~ B2_EE4_TooMuchTime 0.662
## 150 FC =~ B2_PE8_MoreEfficient 0.656
## 366 B2_EE3_BecomeSkillful ~~ B2_SI4_Journals 0.644
## 363 B2_EE3_BecomeSkillful ~~ B2_SI1_Peers 0.641
## 432 B2_FC2_WorkflowCompatibility ~~ B2_FC4_FitsWellWithWork 0.628
## 163 B2_PE1_Useful ~~ B2_PE2_WriteFaster 0.599
## 114 EE =~ B2_PE7_ImproveQuality 0.599
## 288 B2_PE7_ImproveQuality ~~ B2_EE2_ClearUnderstandable 0.594
## 431 B2_FC1_Knowledge ~~ B2_BehIntUse 0.581
## 392 B2_EE6_TooLongToLearn ~~ B2_SI3_Superiors 0.575
## 208 B2_PE3_IncProductivity ~~ B2_PE4_IncPubChances 0.571
## 396 B2_EE6_TooLongToLearn ~~ B2_FC2_WorkflowCompatibility 0.570
## 267 B2_PE6_EasierWrite ~~ B2_PE7_ImproveQuality 0.570
## 373 B2_EE4_TooMuchTime ~~ B2_SI2_ResClimate 0.567
## 165 B2_PE1_Useful ~~ B2_PE4_IncPubChances 0.564
## 276 B2_PE6_EasierWrite ~~ B2_SI1_Peers 0.563
## 416 B2_SI3_Superiors ~~ B2_FC1_Knowledge 0.557
## 339 B2_EE1_EasyToUse ~~ B2_SI2_ResClimate 0.555
## 310 B2_PE8_MoreEfficient ~~ B2_SI2_ResClimate 0.530
## 341 B2_EE1_EasyToUse ~~ B2_SI4_Journals 0.529
## 264 B2_PE5_PosPR ~~ B2_FC2_WorkflowCompatibility 0.524
## 410 B2_SI2_ResClimate ~~ B2_FC1_Knowledge 0.515
## 228 B2_PE3_IncProductivity ~~ B2_BehIntUse 0.504
## 155 FC =~ B2_EE4_TooMuchTime 0.488
## 343 B2_EE1_EasyToUse ~~ B2_FC1_Knowledge 0.465
## 181 B2_PE1_Useful ~~ B2_SI5_Field 0.460
## 247 B2_PE4_IncPubChances ~~ B2_BehIntUse 0.457
## 331 B2_PE9_IncQualSameEffort ~~ B2_FC4_FitsWellWithWork 0.452
## 365 B2_EE3_BecomeSkillful ~~ B2_SI3_Superiors 0.451
## 112 EE =~ B2_PE5_PosPR 0.447
## 254 B2_PE5_PosPR ~~ B2_EE3_BecomeSkillful 0.447
## 98 PE =~ B2_EE5_TooComplicated 0.445
## 195 B2_PE2_WriteFaster ~~ B2_EE3_BecomeSkillful 0.413
## 417 B2_SI3_Superiors ~~ B2_FC2_WorkflowCompatibility 0.379
## 193 B2_PE2_WriteFaster ~~ B2_EE1_EasyToUse 0.374
## 123 EE =~ B2_FC2_WorkflowCompatibility 0.349
## 378 B2_EE4_TooMuchTime ~~ B2_FC2_WorkflowCompatibility 0.333
## 164 B2_PE1_Useful ~~ B2_PE3_IncProductivity 0.328
## 383 B2_EE5_TooComplicated ~~ B2_SI3_Superiors 0.327
## 152 FC =~ B2_EE1_EasyToUse 0.322
## 151 FC =~ B2_PE9_IncQualSameEffort 0.301
## 375 B2_EE4_TooMuchTime ~~ B2_SI4_Journals 0.294
## 149 FC =~ B2_PE7_ImproveQuality 0.288
## 243 B2_PE4_IncPubChances ~~ B2_SI5_Field 0.286
## 368 B2_EE3_BecomeSkillful ~~ B2_FC1_Knowledge 0.278
## 107 PE =~ B2_FC4_FitsWellWithWork 0.278
## 312 B2_PE8_MoreEfficient ~~ B2_SI4_Journals 0.278
## 251 B2_PE5_PosPR ~~ B2_PE9_IncQualSameEffort 0.275
## 300 B2_PE7_ImproveQuality ~~ B2_FC4_FitsWellWithWork 0.273
## 124 EE =~ B2_FC4_FitsWellWithWork 0.263
## 318 B2_PE9_IncQualSameEffort ~~ B2_EE1_EasyToUse 0.260
## 99 PE =~ B2_EE6_TooLongToLearn 0.244
## 380 B2_EE4_TooMuchTime ~~ B2_BehIntUse 0.241
## 127 SI =~ B2_PE3_IncProductivity 0.241
## 317 B2_PE8_MoreEfficient ~~ B2_BehIntUse 0.231
## 389 B2_EE5_TooComplicated ~~ B2_BehIntUse 0.209
## 384 B2_EE5_TooComplicated ~~ B2_SI4_Journals 0.207
## 177 B2_PE1_Useful ~~ B2_SI1_Peers 0.197
## 248 B2_PE5_PosPR ~~ B2_PE6_EasierWrite 0.188
## 320 B2_PE9_IncQualSameEffort ~~ B2_EE3_BecomeSkillful 0.187
## 330 B2_PE9_IncQualSameEffort ~~ B2_FC2_WorkflowCompatibility 0.184
## 130 SI =~ B2_PE6_EasierWrite 0.184
## 207 B2_PE2_WriteFaster ~~ B2_BehIntUse 0.182
## 205 B2_PE2_WriteFaster ~~ B2_FC2_WorkflowCompatibility 0.182
## 421 B2_SI4_Journals ~~ B2_FC1_Knowledge 0.180
## 259 B2_PE5_PosPR ~~ B2_SI2_ResClimate 0.174
## 170 B2_PE1_Useful ~~ B2_PE9_IncQualSameEffort 0.163
## 220 B2_PE3_IncProductivity ~~ B2_SI1_Peers 0.158
## 131 SI =~ B2_PE7_ImproveQuality 0.155
## 328 B2_PE9_IncQualSameEffort ~~ B2_SI5_Field 0.149
## 244 B2_PE4_IncPubChances ~~ B2_FC1_Knowledge 0.149
## 370 B2_EE3_BecomeSkillful ~~ B2_FC4_FitsWellWithWork 0.140
## 184 B2_PE1_Useful ~~ B2_FC4_FitsWellWithWork 0.132
## 146 FC =~ B2_PE4_IncPubChances 0.127
## 137 SI =~ B2_EE4_TooMuchTime 0.122
## 185 B2_PE1_Useful ~~ B2_BehIntUse 0.114
## 342 B2_EE1_EasyToUse ~~ B2_SI5_Field 0.105
## 347 B2_EE2_ClearUnderstandable ~~ B2_EE3_BecomeSkillful 0.100
## 217 B2_PE3_IncProductivity ~~ B2_EE4_TooMuchTime 0.097
## 140 SI =~ B2_FC1_Knowledge 0.096
## 424 B2_SI4_Journals ~~ B2_BehIntUse 0.094
## 139 SI =~ B2_EE6_TooLongToLearn 0.094
## 403 B2_SI1_Peers ~~ B2_FC1_Knowledge 0.092
## 336 B2_EE1_EasyToUse ~~ B2_EE5_TooComplicated 0.092
## 298 B2_PE7_ImproveQuality ~~ B2_FC1_Knowledge 0.091
## 227 B2_PE3_IncProductivity ~~ B2_FC4_FitsWellWithWork 0.091
## 97 PE =~ B2_EE4_TooMuchTime 0.090
## 418 B2_SI3_Superiors ~~ B2_FC4_FitsWellWithWork 0.085
## 426 B2_SI5_Field ~~ B2_FC2_WorkflowCompatibility 0.076
## 315 B2_PE8_MoreEfficient ~~ B2_FC2_WorkflowCompatibility 0.069
## 308 B2_PE8_MoreEfficient ~~ B2_EE6_TooLongToLearn 0.064
## 354 B2_EE2_ClearUnderstandable ~~ B2_SI4_Journals 0.062
## 321 B2_PE9_IncQualSameEffort ~~ B2_EE4_TooMuchTime 0.062
## 283 B2_PE6_EasierWrite ~~ B2_FC4_FitsWellWithWork 0.054
## 372 B2_EE4_TooMuchTime ~~ B2_SI1_Peers 0.054
## 201 B2_PE2_WriteFaster ~~ B2_SI3_Superiors 0.052
## 376 B2_EE4_TooMuchTime ~~ B2_SI5_Field 0.048
## 138 SI =~ B2_EE5_TooComplicated 0.046
## 166 B2_PE1_Useful ~~ B2_PE5_PosPR 0.036
## 110 EE =~ B2_PE3_IncProductivity 0.036
## 381 B2_EE5_TooComplicated ~~ B2_SI1_Peers 0.029
## 419 B2_SI3_Superiors ~~ B2_BehIntUse 0.026
## 133 SI =~ B2_PE9_IncQualSameEffort 0.024
## 397 B2_EE6_TooLongToLearn ~~ B2_FC4_FitsWellWithWork 0.020
## 374 B2_EE4_TooMuchTime ~~ B2_SI3_Superiors 0.019
## 409 B2_SI2_ResClimate ~~ B2_SI5_Field 0.018
## 235 B2_PE4_IncPubChances ~~ B2_EE3_BecomeSkillful 0.018
## 399 B2_SI1_Peers ~~ B2_SI2_ResClimate 0.017
## 316 B2_PE8_MoreEfficient ~~ B2_FC4_FitsWellWithWork 0.013
## 413 B2_SI2_ResClimate ~~ B2_BehIntUse 0.013
## 390 B2_EE6_TooLongToLearn ~~ B2_SI1_Peers 0.010
## 311 B2_PE8_MoreEfficient ~~ B2_SI3_Superiors 0.010
## 332 B2_PE9_IncQualSameEffort ~~ B2_BehIntUse 0.009
## 160 FC =~ B2_SI3_Superiors 0.009
## 286 B2_PE7_ImproveQuality ~~ B2_PE9_IncQualSameEffort 0.009
## 224 B2_PE3_IncProductivity ~~ B2_SI5_Field 0.008
## 246 B2_PE4_IncPubChances ~~ B2_FC4_FitsWellWithWork 0.008
## 351 B2_EE2_ClearUnderstandable ~~ B2_SI1_Peers 0.007
## 188 B2_PE2_WriteFaster ~~ B2_PE5_PosPR 0.005
## 241 B2_PE4_IncPubChances ~~ B2_SI3_Superiors 0.004
## 260 B2_PE5_PosPR ~~ B2_SI3_Superiors 0.004
## 147 FC =~ B2_PE5_PosPR 0.004
## 272 B2_PE6_EasierWrite ~~ B2_EE3_BecomeSkillful 0.003
## 361 B2_EE3_BecomeSkillful ~~ B2_EE5_TooComplicated 0.002
## 250 B2_PE5_PosPR ~~ B2_PE8_MoreEfficient 0.001
## 136 SI =~ B2_EE3_BecomeSkillful 0.001
## 233 B2_PE4_IncPubChances ~~ B2_EE1_EasyToUse 0.001
## 119 EE =~ B2_SI3_Superiors 0.001
## 198 B2_PE2_WriteFaster ~~ B2_EE6_TooLongToLearn 0.001
## 303 B2_PE8_MoreEfficient ~~ B2_EE1_EasyToUse 0.000
## 353 B2_EE2_ClearUnderstandable ~~ B2_SI3_Superiors 0.000
## 257 B2_PE5_PosPR ~~ B2_EE6_TooLongToLearn 0.000
## 237 B2_PE4_IncPubChances ~~ B2_EE5_TooComplicated 0.000
## 394 B2_EE6_TooLongToLearn ~~ B2_SI5_Field 0.000
## 229 B2_PE4_IncPubChances ~~ B2_PE6_EasierWrite 0.000
## epc sepc.lv sepc.all sepc.nox
## 400 1.027 1.027 2.853 2.853
## 186 0.169 0.169 0.441 0.441
## 408 0.487 0.487 0.385 0.385
## 108 0.399 0.399 0.324 0.324
## 420 0.361 0.361 0.313 0.313
## 211 -0.172 -0.172 -0.331 -0.331
## 429 0.383 0.383 0.340 0.340
## 290 -0.230 -0.230 -0.262 -0.262
## 377 -0.348 -0.348 -0.242 -0.242
## 302 0.125 0.125 0.328 0.328
## 104 0.353 0.353 0.278 0.278
## 434 0.258 0.258 0.492 0.492
## 287 -0.154 -0.154 -0.283 -0.283
## 214 0.109 0.109 0.292 0.292
## 334 -0.144 -0.144 -0.353 -0.353
## 407 -0.253 -0.253 -0.345 -0.345
## 433 -0.230 -0.230 -0.316 -0.316
## 178 0.244 0.244 0.242 0.242
## 255 -0.133 -0.133 -0.157 -0.157
## 103 0.316 0.316 0.258 0.258
## 187 -0.102 -0.102 -0.189 -0.189
## 158 -0.225 -0.225 -0.165 -0.165
## 191 -0.104 -0.104 -0.274 -0.274
## 100 -0.253 -0.253 -0.185 -0.185
## 401 -0.204 -0.204 -0.328 -0.328
## 175 0.139 0.139 0.168 0.168
## 200 -0.169 -0.169 -0.227 -0.227
## 109 0.208 0.208 0.185 0.185
## 296 0.203 0.203 0.215 0.215
## 169 -0.124 -0.124 -0.242 -0.242
## 95 -0.228 -0.228 -0.210 -0.210
## 216 -0.095 -0.095 -0.243 -0.243
## 143 0.326 0.326 0.265 0.265
## 168 0.161 0.161 0.214 0.214
## 182 0.258 0.258 0.209 0.209
## 199 0.102 0.102 0.277 0.277
## 118 0.278 0.278 0.198 0.198
## 153 -0.414 -0.414 -0.382 -0.382
## 162 0.250 0.250 0.197 0.197
## 180 0.188 0.188 0.199 0.199
## 382 0.162 0.162 0.147 0.147
## 144 0.237 0.237 0.211 0.211
## 218 -0.087 -0.087 -0.152 -0.152
## 154 0.393 0.393 0.364 0.364
## 430 -0.212 -0.212 -0.262 -0.262
## 249 0.109 0.109 0.150 0.150
## 304 -0.084 -0.084 -0.236 -0.236
## 414 -0.173 -0.173 -0.253 -0.253
## 101 0.281 0.281 0.200 0.200
## 161 0.238 0.238 0.194 0.194
## 190 -0.112 -0.112 -0.200 -0.200
## 291 0.115 0.115 0.139 0.139
## 173 0.116 0.116 0.205 0.205
## 117 -0.176 -0.176 -0.129 -0.129
## 225 -0.163 -0.163 -0.191 -0.191
## 210 0.075 0.075 0.217 0.217
## 411 -0.177 -0.177 -0.193 -0.193
## 333 0.107 0.107 0.284 0.284
## 265 -0.080 -0.080 -0.168 -0.168
## 159 0.244 0.244 0.173 0.173
## 156 -0.296 -0.296 -0.253 -0.253
## 174 -0.134 -0.134 -0.153 -0.153
## 349 0.089 0.089 0.156 0.156
## 271 -0.075 -0.075 -0.215 -0.215
## 105 -0.437 -0.437 -0.267 -0.267
## 299 0.127 0.127 0.186 0.186
## 369 0.107 0.107 0.207 0.207
## 274 -0.073 -0.073 -0.133 -0.133
## 398 0.110 0.110 0.125 0.125
## 172 0.099 0.099 0.191 0.191
## 405 -0.086 -0.086 -0.266 -0.266
## 335 0.096 0.096 0.151 0.151
## 253 0.071 0.071 0.141 0.141
## 134 0.129 0.129 0.131 0.131
## 314 -0.140 -0.140 -0.165 -0.165
## 94 0.153 0.153 0.155 0.155
## 326 -0.079 -0.079 -0.195 -0.195
## 167 -0.085 -0.085 -0.170 -0.170
## 319 -0.069 -0.069 -0.180 -0.180
## 215 0.064 0.064 0.178 0.178
## 273 0.079 0.079 0.135 0.135
## 122 0.511 0.511 0.312 0.312
## 294 0.149 0.149 0.148 0.148
## 422 -0.132 -0.132 -0.154 -0.154
## 106 0.243 0.243 0.194 0.194
## 96 0.153 0.153 0.141 0.141
## 404 0.089 0.089 0.197 0.197
## 196 0.081 0.081 0.125 0.125
## 329 0.133 0.133 0.145 0.145
## 379 0.083 0.083 0.144 0.144
## 350 -0.068 -0.068 -0.119 -0.119
## 120 0.172 0.172 0.141 0.141
## 142 -0.150 -0.150 -0.127 -0.127
## 113 -0.122 -0.122 -0.107 -0.107
## 395 0.132 0.132 0.098 0.098
## 402 -0.126 -0.126 -0.209 -0.209
## 261 0.094 0.094 0.103 0.103
## 423 0.099 0.099 0.161 0.161
## 183 -0.096 -0.096 -0.141 -0.141
## 141 0.141 0.141 0.112 0.112
## 371 -0.094 -0.094 -0.157 -0.157
## 360 -0.082 -0.082 -0.125 -0.125
## 192 -0.061 -0.061 -0.147 -0.147
## 223 -0.086 -0.086 -0.132 -0.132
## 357 -0.077 -0.077 -0.162 -0.162
## 387 -0.076 -0.076 -0.101 -0.101
## 359 0.090 0.090 0.163 0.163
## 295 -0.084 -0.084 -0.153 -0.153
## 197 -0.059 -0.059 -0.097 -0.097
## 148 -0.138 -0.138 -0.122 -0.122
## 189 0.054 0.054 0.146 0.146
## 252 -0.054 -0.054 -0.103 -0.103
## 157 0.198 0.198 0.176 0.176
## 279 -0.081 -0.081 -0.128 -0.128
## 202 -0.087 -0.087 -0.124 -0.124
## 203 -0.085 -0.085 -0.125 -0.125
## 362 0.061 0.061 0.098 0.098
## 285 0.068 0.068 0.132 0.132
## 356 0.116 0.116 0.136 0.136
## 425 -0.178 -0.178 -0.117 -0.117
## 281 -0.103 -0.103 -0.124 -0.124
## 116 -0.113 -0.113 -0.098 -0.098
## 256 0.053 0.053 0.065 0.065
## 284 -0.069 -0.069 -0.130 -0.130
## 232 0.050 0.050 0.093 0.093
## 355 -0.081 -0.081 -0.128 -0.128
## 415 -0.103 -0.103 -0.155 -0.155
## 323 -0.050 -0.050 -0.083 -0.083
## 297 0.100 0.100 0.109 0.109
## 242 0.075 0.075 0.083 0.083
## 213 -0.047 -0.047 -0.123 -0.123
## 277 -0.077 -0.077 -0.115 -0.115
## 239 -0.051 -0.051 -0.107 -0.107
## 145 -0.117 -0.117 -0.113 -0.113
## 263 0.097 0.097 0.080 0.080
## 306 0.057 0.057 0.095 0.095
## 234 -0.045 -0.045 -0.091 -0.091
## 280 0.066 0.066 0.109 0.109
## 270 0.042 0.042 0.116 0.116
## 121 0.125 0.125 0.098 0.098
## 226 -0.053 -0.053 -0.112 -0.112
## 385 -0.073 -0.073 -0.072 -0.072
## 240 0.074 0.074 0.076 0.076
## 289 0.060 0.060 0.107 0.107
## 367 0.073 0.073 0.106 0.106
## 206 0.045 0.045 0.123 0.123
## 231 0.041 0.041 0.082 0.082
## 278 0.045 0.045 0.124 0.124
## 428 0.096 0.096 0.099 0.099
## 388 -0.045 -0.045 -0.084 -0.084
## 111 -0.086 -0.086 -0.073 -0.073
## 135 -0.081 -0.081 -0.075 -0.075
## 292 -0.055 -0.055 -0.067 -0.067
## 346 -0.062 -0.062 -0.107 -0.107
## 236 0.051 0.051 0.060 0.060
## 309 -0.043 -0.043 -0.126 -0.126
## 209 -0.037 -0.037 -0.073 -0.073
## 275 0.038 0.038 0.070 0.070
## 176 -0.054 -0.054 -0.065 -0.065
## 337 -0.042 -0.042 -0.071 -0.071
## 391 -0.070 -0.070 -0.064 -0.064
## 179 -0.058 -0.058 -0.105 -0.105
## 327 0.063 0.063 0.090 0.090
## 262 0.058 0.058 0.065 0.065
## 322 0.040 0.040 0.065 0.065
## 212 -0.035 -0.035 -0.100 -0.100
## 324 0.041 0.041 0.113 0.113
## 266 0.051 0.051 0.066 0.066
## 269 -0.036 -0.036 -0.098 -0.098
## 386 0.081 0.081 0.060 0.060
## 268 0.035 0.035 0.102 0.102
## 126 0.070 0.070 0.063 0.063
## 305 0.035 0.035 0.092 0.092
## 230 0.044 0.044 0.060 0.060
## 358 -0.039 -0.039 -0.114 -0.114
## 427 0.056 0.056 0.093 0.093
## 307 0.033 0.033 0.059 0.059
## 393 -0.055 -0.055 -0.054 -0.054
## 128 -0.061 -0.061 -0.052 -0.052
## 102 -0.082 -0.082 -0.059 -0.059
## 221 -0.053 -0.053 -0.076 -0.076
## 412 0.058 0.058 0.087 0.087
## 325 0.055 0.055 0.074 0.074
## 171 -0.041 -0.041 -0.076 -0.076
## 194 0.032 0.032 0.082 0.082
## 352 0.055 0.055 0.079 0.079
## 132 -0.057 -0.057 -0.048 -0.048
## 115 -0.063 -0.063 -0.053 -0.053
## 219 0.029 0.029 0.051 0.051
## 238 -0.030 -0.030 -0.038 -0.038
## 313 0.046 0.046 0.073 0.073
## 282 0.035 0.035 0.077 0.077
## 222 0.032 0.032 0.084 0.084
## 204 -0.063 -0.063 -0.069 -0.069
## 301 0.056 0.056 0.069 0.069
## 345 0.032 0.032 0.090 0.090
## 364 0.053 0.053 0.071 0.071
## 344 -0.037 -0.037 -0.075 -0.075
## 293 -0.041 -0.041 -0.083 -0.083
## 258 -0.030 -0.030 -0.063 -0.063
## 125 0.071 0.071 0.058 0.058
## 406 -0.048 -0.048 -0.090 -0.090
## 340 0.032 0.032 0.082 0.082
## 129 0.052 0.052 0.046 0.046
## 245 0.034 0.034 0.052 0.052
## 338 0.031 0.031 0.087 0.087
## 348 -0.038 -0.038 -0.064 -0.064
## 150 -0.071 -0.071 -0.060 -0.060
## 366 0.048 0.048 0.067 0.067
## 363 -0.033 -0.033 -0.087 -0.087
## 432 -0.080 -0.080 -0.178 -0.178
## 163 0.035 0.035 0.064 0.064
## 114 -0.073 -0.073 -0.062 -0.062
## 288 0.035 0.035 0.068 0.068
## 431 -0.082 -0.082 -0.062 -0.062
## 392 0.030 0.030 0.051 0.051
## 208 -0.024 -0.024 -0.047 -0.047
## 396 0.033 0.033 0.045 0.045
## 267 -0.032 -0.032 -0.064 -0.064
## 373 -0.058 -0.058 -0.049 -0.049
## 165 0.033 0.033 0.045 0.045
## 276 -0.026 -0.026 -0.080 -0.080
## 416 0.062 0.062 0.069 0.069
## 339 -0.045 -0.045 -0.061 -0.061
## 310 0.041 0.041 0.060 0.060
## 341 -0.041 -0.041 -0.059 -0.059
## 264 0.030 0.030 0.046 0.046
## 410 0.091 0.091 0.055 0.055
## 228 -0.033 -0.033 -0.060 -0.060
## 155 0.109 0.109 0.095 0.095
## 343 -0.050 -0.050 -0.056 -0.056
## 181 -0.048 -0.048 -0.052 -0.052
## 247 0.032 0.032 0.042 0.042
## 331 0.024 0.024 0.066 0.066
## 365 -0.028 -0.028 -0.068 -0.068
## 112 0.047 0.047 0.041 0.041
## 254 0.024 0.024 0.043 0.043
## 98 -0.049 -0.049 -0.042 -0.042
## 195 0.024 0.024 0.056 0.056
## 417 0.030 0.030 0.061 0.061
## 193 0.021 0.021 0.053 0.053
## 123 -0.110 -0.110 -0.088 -0.088
## 378 0.032 0.032 0.040 0.040
## 164 0.024 0.024 0.047 0.047
## 383 -0.023 -0.023 -0.039 -0.039
## 152 0.079 0.079 0.080 0.080
## 151 -0.051 -0.051 -0.044 -0.044
## 375 -0.039 -0.039 -0.035 -0.035
## 149 0.063 0.063 0.053 0.053
## 243 -0.028 -0.028 -0.032 -0.032
## 368 0.041 0.041 0.044 0.044
## 107 -0.071 -0.071 -0.060 -0.060
## 312 -0.028 -0.028 -0.043 -0.043
## 251 -0.018 -0.018 -0.033 -0.033
## 300 -0.024 -0.024 -0.049 -0.049
## 124 -0.099 -0.099 -0.083 -0.083
## 318 0.018 0.018 0.044 0.044
## 99 -0.035 -0.035 -0.032 -0.032
## 380 -0.031 -0.031 -0.033 -0.033
## 127 0.030 0.030 0.029 0.029
## 317 0.023 0.023 0.042 0.042
## 389 -0.024 -0.024 -0.027 -0.027
## 384 0.026 0.026 0.025 0.025
## 177 -0.022 -0.022 -0.044 -0.044
## 248 -0.014 -0.014 -0.028 -0.028
## 320 -0.016 -0.016 -0.038 -0.038
## 330 -0.019 -0.019 -0.037 -0.037
## 130 -0.027 -0.027 -0.023 -0.023
## 207 -0.021 -0.021 -0.036 -0.036
## 205 0.018 0.018 0.036 0.036
## 421 0.050 0.050 0.032 0.032
## 259 0.024 0.024 0.025 0.025
## 170 -0.019 -0.019 -0.033 -0.033
## 220 0.014 0.014 0.041 0.041
## 131 -0.034 -0.034 -0.029 -0.029
## 328 0.021 0.021 0.031 0.031
## 244 -0.027 -0.027 -0.023 -0.023
## 370 0.015 0.015 0.040 0.040
## 184 -0.017 -0.017 -0.034 -0.034
## 146 -0.031 -0.031 -0.026 -0.026
## 137 -0.026 -0.026 -0.023 -0.023
## 185 0.022 0.022 0.027 0.027
## 342 -0.018 -0.018 -0.027 -0.027
## 347 0.016 0.016 0.041 0.041
## 217 0.013 0.013 0.021 0.021
## 140 0.040 0.040 0.024 0.024
## 424 0.024 0.024 0.024 0.024
## 139 -0.018 -0.018 -0.016 -0.016
## 403 0.024 0.024 0.030 0.030
## 336 -0.011 -0.011 -0.019 -0.019
## 298 0.029 0.029 0.023 0.023
## 227 0.010 0.010 0.029 0.029
## 97 0.027 0.027 0.024 0.024
## 418 -0.012 -0.012 -0.033 -0.033
## 426 0.019 0.019 0.023 0.023
## 315 0.011 0.011 0.023 0.023
## 308 -0.008 -0.008 -0.015 -0.015
## 354 0.014 0.014 0.022 0.022
## 321 0.011 0.011 0.017 0.017
## 283 0.008 0.008 0.023 0.023
## 372 0.011 0.011 0.020 0.020
## 201 0.009 0.009 0.022 0.022
## 376 0.015 0.015 0.014 0.014
## 138 -0.013 -0.013 -0.011 -0.011
## 166 -0.008 -0.008 -0.011 -0.011
## 110 -0.013 -0.013 -0.012 -0.012
## 381 -0.007 -0.007 -0.012 -0.012
## 419 0.009 0.009 0.016 0.016
## 133 -0.011 -0.011 -0.009 -0.009
## 397 -0.005 -0.005 -0.010 -0.010
## 374 -0.007 -0.007 -0.011 -0.011
## 409 0.013 0.013 0.011 0.011
## 235 -0.005 -0.005 -0.009 -0.009
## 399 -0.010 -0.010 -0.016 -0.016
## 316 -0.004 -0.004 -0.011 -0.011
## 413 0.010 0.010 0.009 0.009
## 390 -0.004 -0.004 -0.007 -0.007
## 311 0.004 0.004 0.010 0.010
## 332 -0.005 -0.005 -0.008 -0.008
## 160 -0.007 -0.007 -0.005 -0.005
## 286 -0.004 -0.004 -0.008 -0.008
## 224 -0.004 -0.004 -0.007 -0.007
## 246 -0.003 -0.003 -0.006 -0.006
## 351 -0.003 -0.003 -0.010 -0.010
## 188 0.002 0.002 0.005 0.005
## 241 0.002 0.002 0.005 0.005
## 260 0.002 0.002 0.005 0.005
## 147 0.005 0.005 0.005 0.005
## 272 -0.002 -0.002 -0.005 -0.005
## 361 0.002 0.002 0.003 0.003
## 250 -0.001 -0.001 -0.002 -0.002
## 136 -0.002 -0.002 -0.002 -0.002
## 233 -0.001 -0.001 -0.002 -0.002
## 119 0.002 0.002 0.001 0.001
## 198 -0.001 -0.001 -0.001 -0.001
## 303 -0.001 -0.001 -0.002 -0.002
## 353 -0.001 -0.001 -0.002 -0.002
## 257 0.000 0.000 0.000 0.000
## 237 0.000 0.000 0.000 0.000
## 394 0.000 0.000 0.000 0.000
## 229 0.000 0.000 0.000 0.000B2model3factor <-
'PE =~ B2_PE1_Useful + B2_PE2_WriteFaster + B2_PE3_IncProductivity + B2_PE4_IncPubChances + B2_PE5_PosPR + B2_PE6_EasierWrite + B2_PE7_ImproveQuality + B2_PE8_MoreEfficient + B2_PE9_IncQualSameEffort
EEFC=~ B2_EE1_EasyToUse + B2_EE2_ClearUnderstandable + B2_EE3_BecomeSkillful + B2_EE4_TooMuchTime + B2_EE5_TooComplicated + B2_EE6_TooLongToLearn + B2_FC1_Knowledge + B2_FC2_WorkflowCompatibility + B2_FC3_EasyToUse + B2_FC4_FitsWellWithWork
SI=~ B2_SI1_Peers + B2_SI2_ResClimate + B2_SI3_Superiors + B2_SI4_Journals + B2_SI5_Field
B2_BehIntUse ~ PE + EEFC + SI
'
#fit the model
fitB2.3fac <- cfa(model = B2model3factor,
data = B2likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB2.3fac, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 30 iterations
##
## Optimization method NLMINB
## Number of free parameters 80
##
## Number of observations 185
##
## Estimator ML Robust
## Model Fit Test Statistic 926.014 746.009
## Degrees of freedom 270 270
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.241
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3581.712 2648.223
## Degrees of freedom 300 300
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.800 0.797
## Tucker-Lewis Index (TLI) 0.778 0.775
##
## Robust Comparative Fit Index (CFI) 0.814
## Robust Tucker-Lewis Index (TLI) 0.793
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -6082.000 -6082.000
## Loglikelihood unrestricted model (H1) -5618.993 -5618.993
##
## Number of free parameters 80 80
## Akaike (AIC) 12323.999 12323.999
## Bayesian (BIC) 12581.628 12581.628
## Sample-size adjusted Bayesian (BIC) 12328.244 12328.244
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.115 0.098
## 90 Percent Confidence Interval 0.107 0.123 0.090 0.105
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.109
## 90 Percent Confidence Interval 0.100 0.118
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.089 0.089
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B2_PE1_Useful 0.874 0.095 9.156 0.000 0.874 0.710
## B2_PE2_WrtFstr 0.907 0.079 11.537 0.000 0.907 0.806
## B2_PE3_IncPrdc 0.836 0.071 11.781 0.000 0.836 0.807
## B2_PE4_IncPbCh 0.857 0.090 9.475 0.000 0.857 0.731
## B2_PE5_PosPR 0.799 0.090 8.834 0.000 0.799 0.705
## B2_PE6_EasrWrt 0.971 0.075 12.888 0.000 0.971 0.855
## B2_PE7_ImprvQl 0.808 0.097 8.314 0.000 0.808 0.686
## B2_PE8_MrEffcn 1.033 0.076 13.684 0.000 1.033 0.869
## B2_PE9_IncQlSE 0.961 0.071 13.548 0.000 0.961 0.831
## EEFC =~
## B2_EE1_EasyTUs 0.745 0.074 10.009 0.000 0.745 0.757
## B2_EE2_ClrUndr 0.875 0.069 12.736 0.000 0.875 0.808
## B2_EE3_BcmSkll 0.836 0.069 12.179 0.000 0.836 0.774
## B2_EE4_ToMchTm 0.552 0.102 5.416 0.000 0.552 0.485
## B2_EE5_TCmplct 0.709 0.091 7.788 0.000 0.709 0.606
## B2_EE6_TLngTLr 0.670 0.091 7.324 0.000 0.670 0.595
## B2_FC1_Knowldg 0.849 0.105 8.102 0.000 0.849 0.518
## B2_FC2_WrkflwC 0.887 0.083 10.717 0.000 0.887 0.707
## B2_FC3_EasyTUs 0.939 0.062 15.168 0.000 0.939 0.884
## B2_FC4_FtsWlWW 0.932 0.074 12.664 0.000 0.932 0.788
## SI =~
## B2_SI1_Peers 1.241 0.073 16.926 0.000 1.241 0.907
## B2_SI2_ResClmt 0.788 0.103 7.679 0.000 0.788 0.562
## B2_SI3_Superrs 1.231 0.083 14.749 0.000 1.231 0.890
## B2_SI4_Journls 0.567 0.094 6.015 0.000 0.567 0.463
## B2_SI5_Field 0.703 0.091 7.702 0.000 0.703 0.554
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B2_BehIntUse ~
## PE 0.616 0.115 5.359 0.000 0.616 0.408
## EEFC 0.597 0.119 5.031 0.000 0.597 0.394
## SI 0.086 0.105 0.818 0.413 0.086 0.057
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EEFC 0.650 0.044 14.849 0.000 0.650 0.650
## SI 0.559 0.052 10.731 0.000 0.559 0.559
## EEFC ~~
## SI 0.418 0.075 5.545 0.000 0.418 0.418
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 4.530 0.090 50.072 0.000 4.530 3.681
## .B2_PE2_WrtFstr 3.811 0.083 46.050 0.000 3.811 3.386
## .B2_PE3_IncPrdc 3.751 0.076 49.251 0.000 3.751 3.621
## .B2_PE4_IncPbCh 4.530 0.086 52.572 0.000 4.530 3.865
## .B2_PE5_PosPR 4.573 0.083 54.923 0.000 4.573 4.038
## .B2_PE6_EasrWrt 4.049 0.083 48.493 0.000 4.049 3.565
## .B2_PE7_ImprvQl 4.859 0.087 56.150 0.000 4.859 4.128
## .B2_PE8_MrEffcn 4.308 0.087 49.292 0.000 4.308 3.624
## .B2_PE9_IncQlSE 4.178 0.085 49.174 0.000 4.178 3.615
## .B2_EE1_EasyTUs 4.065 0.072 56.172 0.000 4.065 4.130
## .B2_EE2_ClrUndr 4.422 0.080 55.515 0.000 4.422 4.082
## .B2_EE3_BcmSkll 4.605 0.079 57.945 0.000 4.605 4.260
## .B2_EE4_ToMchTm 3.778 0.084 45.128 0.000 3.778 3.318
## .B2_EE5_TCmplct 4.373 0.086 50.835 0.000 4.373 3.737
## .B2_EE6_TLngTLr 4.141 0.083 50.038 0.000 4.141 3.679
## .B2_FC1_Knowldg 4.211 0.120 34.951 0.000 4.211 2.570
## .B2_FC2_WrkflwC 4.362 0.092 47.329 0.000 4.362 3.480
## .B2_FC3_EasyTUs 4.297 0.078 55.038 0.000 4.297 4.046
## .B2_FC4_FtsWlWW 4.276 0.087 49.156 0.000 4.276 3.614
## .B2_SI1_Peers 3.465 0.101 34.459 0.000 3.465 2.534
## .B2_SI2_ResClmt 4.157 0.103 40.281 0.000 4.157 2.962
## .B2_SI3_Superrs 3.308 0.102 32.553 0.000 3.308 2.393
## .B2_SI4_Journls 4.530 0.090 50.252 0.000 4.530 3.695
## .B2_SI5_Field 3.773 0.093 40.403 0.000 3.773 2.970
## .B2_BehIntUse 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 0.750 0.109 6.897 0.000 0.750 0.495
## .B2_PE2_WrtFstr 0.444 0.065 6.810 0.000 0.444 0.350
## .B2_PE3_IncPrdc 0.374 0.048 7.732 0.000 0.374 0.348
## .B2_PE4_IncPbCh 0.639 0.076 8.412 0.000 0.639 0.465
## .B2_PE5_PosPR 0.645 0.079 8.185 0.000 0.645 0.503
## .B2_PE6_EasrWrt 0.346 0.044 7.847 0.000 0.346 0.268
## .B2_PE7_ImprvQl 0.733 0.088 8.340 0.000 0.733 0.529
## .B2_PE8_MrEffcn 0.346 0.048 7.252 0.000 0.346 0.245
## .B2_PE9_IncQlSE 0.412 0.072 5.711 0.000 0.412 0.309
## .B2_EE1_EasyTUs 0.414 0.049 8.468 0.000 0.414 0.427
## .B2_EE2_ClrUndr 0.408 0.065 6.288 0.000 0.408 0.347
## .B2_EE3_BcmSkll 0.469 0.070 6.727 0.000 0.469 0.401
## .B2_EE4_ToMchTm 0.992 0.132 7.517 0.000 0.992 0.765
## .B2_EE5_TCmplct 0.867 0.134 6.492 0.000 0.867 0.633
## .B2_EE6_TLngTLr 0.818 0.115 7.083 0.000 0.818 0.646
## .B2_FC1_Knowldg 1.964 0.199 9.893 0.000 1.964 0.732
## .B2_FC2_WrkflwC 0.785 0.115 6.845 0.000 0.785 0.500
## .B2_FC3_EasyTUs 0.246 0.045 5.490 0.000 0.246 0.218
## .B2_FC4_FtsWlWW 0.531 0.082 6.481 0.000 0.531 0.379
## .B2_SI1_Peers 0.331 0.078 4.217 0.000 0.331 0.177
## .B2_SI2_ResClmt 1.348 0.150 8.998 0.000 1.348 0.684
## .B2_SI3_Superrs 0.396 0.116 3.405 0.001 0.396 0.207
## .B2_SI4_Journls 1.181 0.120 9.858 0.000 1.181 0.786
## .B2_SI5_Field 1.118 0.138 8.098 0.000 1.118 0.693
## .B2_BehIntUse 0.963 0.115 8.394 0.000 0.963 0.421
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B2_PE1_Useful 0.505
## B2_PE2_WrtFstr 0.650
## B2_PE3_IncPrdc 0.652
## B2_PE4_IncPbCh 0.535
## B2_PE5_PosPR 0.497
## B2_PE6_EasrWrt 0.732
## B2_PE7_ImprvQl 0.471
## B2_PE8_MrEffcn 0.755
## B2_PE9_IncQlSE 0.691
## B2_EE1_EasyTUs 0.573
## B2_EE2_ClrUndr 0.653
## B2_EE3_BcmSkll 0.599
## B2_EE4_ToMchTm 0.235
## B2_EE5_TCmplct 0.367
## B2_EE6_TLngTLr 0.354
## B2_FC1_Knowldg 0.268
## B2_FC2_WrkflwC 0.500
## B2_FC3_EasyTUs 0.782
## B2_FC4_FtsWlWW 0.621
## B2_SI1_Peers 0.823
## B2_SI2_ResClmt 0.316
## B2_SI3_Superrs 0.793
## B2_SI4_Journls 0.214
## B2_SI5_Field 0.307
## B2_BehIntUse 0.579B2model3factor2 <-
'PE =~ B2_PE1_Useful + B2_PE2_WriteFaster + B2_PE3_IncProductivity + B2_PE4_IncPubChances + B2_PE5_PosPR + B2_PE6_EasierWrite + B2_PE7_ImproveQuality + B2_PE8_MoreEfficient + B2_PE9_IncQualSameEffort
EEFC=~ B2_EE1_EasyToUse + B2_EE2_ClearUnderstandable + B2_EE3_BecomeSkillful + B2_EE4_TooMuchTime + B2_EE5_TooComplicated + B2_EE6_TooLongToLearn + B2_FC1_Knowledge + B2_FC2_WorkflowCompatibility + B2_FC4_FitsWellWithWork
SI=~ B2_SI1_Peers + B2_SI2_ResClimate + B2_SI3_Superiors + B2_SI4_Journals + B2_SI5_Field
B2_BehIntUse ~ PE + EEFC + SI
B2_EE5_TooComplicated ~~ B2_EE6_TooLongToLearn
B2_PE4_IncPubChances ~~ B2_PE5_PosPR
'
#fit the model
fitB2.3fac2mod <- cfa(model = B2model3factor2,
data = B2likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM")
#display the summary output
summary(fitB2.3fac2mod, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 31 iterations
##
## Optimization method NLMINB
## Number of free parameters 79
##
## Number of observations 185
##
## Estimator ML Robust
## Model Fit Test Statistic 704.170 577.482
## Degrees of freedom 245 245
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.219
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3311.570 2452.694
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.849 0.847
## Tucker-Lewis Index (TLI) 0.830 0.828
##
## Robust Comparative Fit Index (CFI) 0.862
## Robust Tucker-Lewis Index (TLI) 0.845
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -5832.518 -5832.518
## Loglikelihood unrestricted model (H1) -5480.433 -5480.433
##
## Number of free parameters 79 79
## Akaike (AIC) 11823.036 11823.036
## Bayesian (BIC) 12077.444 12077.444
## Sample-size adjusted Bayesian (BIC) 11827.227 11827.227
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.101 0.086
## 90 Percent Confidence Interval 0.092 0.109 0.077 0.094
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.095
## 90 Percent Confidence Interval 0.085 0.105
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.084 0.084
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B2_PE1_Useful 0.876 0.096 9.114 0.000 0.876 0.712
## B2_PE2_WrtFstr 0.924 0.078 11.800 0.000 0.924 0.821
## B2_PE3_IncPrdc 0.847 0.071 11.938 0.000 0.847 0.818
## B2_PE4_IncPbCh 0.819 0.092 8.868 0.000 0.819 0.699
## B2_PE5_PosPR 0.759 0.093 8.189 0.000 0.759 0.670
## B2_PE6_EasrWrt 0.977 0.076 12.827 0.000 0.977 0.861
## B2_PE7_ImprvQl 0.792 0.097 8.147 0.000 0.792 0.673
## B2_PE8_MrEffcn 1.032 0.076 13.565 0.000 1.032 0.868
## B2_PE9_IncQlSE 0.959 0.072 13.392 0.000 0.959 0.830
## EEFC =~
## B2_EE1_EasyTUs 0.721 0.075 9.591 0.000 0.721 0.733
## B2_EE2_ClrUndr 0.823 0.073 11.260 0.000 0.823 0.759
## B2_EE3_BcmSkll 0.841 0.070 12.078 0.000 0.841 0.778
## B2_EE4_ToMchTm 0.547 0.106 5.180 0.000 0.547 0.481
## B2_EE5_TCmplct 0.649 0.097 6.722 0.000 0.649 0.555
## B2_EE6_TLngTLr 0.621 0.098 6.334 0.000 0.621 0.551
## B2_FC1_Knowldg 0.819 0.109 7.489 0.000 0.819 0.500
## B2_FC2_WrkflwC 0.930 0.080 11.649 0.000 0.930 0.742
## B2_FC4_FtsWlWW 0.972 0.073 13.331 0.000 0.972 0.822
## SI =~
## B2_SI1_Peers 1.242 0.073 16.946 0.000 1.242 0.908
## B2_SI2_ResClmt 0.787 0.103 7.655 0.000 0.787 0.561
## B2_SI3_Superrs 1.230 0.084 14.711 0.000 1.230 0.890
## B2_SI4_Journls 0.566 0.095 5.989 0.000 0.566 0.462
## B2_SI5_Field 0.703 0.091 7.703 0.000 0.703 0.554
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B2_BehIntUse ~
## PE 0.497 0.132 3.760 0.000 0.497 0.329
## EEFC 0.698 0.131 5.332 0.000 0.698 0.462
## SI 0.103 0.103 0.999 0.318 0.103 0.068
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B2_EE5_TooComplicated ~~
## .B2_EE6_TLngTLr 0.594 0.129 4.608 0.000 0.594
## .B2_PE4_IncPubChances ~~
## .B2_PE5_PosPR 0.437 0.074 5.919 0.000 0.437
## PE ~~
## EEFC 0.707 0.041 17.345 0.000 0.707
## SI 0.561 0.052 10.761 0.000 0.561
## EEFC ~~
## SI 0.426 0.076 5.635 0.000 0.426
## Std.all
##
## 0.649
##
## 0.620
##
## 0.707
## 0.561
##
## 0.426
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 4.530 0.090 50.072 0.000 4.530 3.681
## .B2_PE2_WrtFstr 3.811 0.083 46.050 0.000 3.811 3.386
## .B2_PE3_IncPrdc 3.751 0.076 49.251 0.000 3.751 3.621
## .B2_PE4_IncPbCh 4.530 0.086 52.572 0.000 4.530 3.865
## .B2_PE5_PosPR 4.573 0.083 54.923 0.000 4.573 4.038
## .B2_PE6_EasrWrt 4.049 0.083 48.493 0.000 4.049 3.565
## .B2_PE7_ImprvQl 4.859 0.087 56.150 0.000 4.859 4.128
## .B2_PE8_MrEffcn 4.308 0.087 49.292 0.000 4.308 3.624
## .B2_PE9_IncQlSE 4.178 0.085 49.174 0.000 4.178 3.615
## .B2_EE1_EasyTUs 4.065 0.072 56.172 0.000 4.065 4.130
## .B2_EE2_ClrUndr 4.422 0.080 55.515 0.000 4.422 4.082
## .B2_EE3_BcmSkll 4.605 0.079 57.945 0.000 4.605 4.260
## .B2_EE4_ToMchTm 3.778 0.084 45.128 0.000 3.778 3.318
## .B2_EE5_TCmplct 4.373 0.086 50.835 0.000 4.373 3.737
## .B2_EE6_TLngTLr 4.141 0.083 50.038 0.000 4.141 3.679
## .B2_FC1_Knowldg 4.211 0.120 34.951 0.000 4.211 2.570
## .B2_FC2_WrkflwC 4.362 0.092 47.329 0.000 4.362 3.480
## .B2_FC4_FtsWlWW 4.276 0.087 49.156 0.000 4.276 3.614
## .B2_SI1_Peers 3.465 0.101 34.459 0.000 3.465 2.533
## .B2_SI2_ResClmt 4.157 0.103 40.281 0.000 4.157 2.962
## .B2_SI3_Superrs 3.308 0.102 32.553 0.000 3.308 2.393
## .B2_SI4_Journls 4.530 0.090 50.252 0.000 4.530 3.695
## .B2_SI5_Field 3.773 0.093 40.403 0.000 3.773 2.970
## .B2_BehIntUse 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 0.747 0.109 6.858 0.000 0.747 0.493
## .B2_PE2_WrtFstr 0.413 0.066 6.296 0.000 0.413 0.326
## .B2_PE3_IncPrdc 0.355 0.048 7.432 0.000 0.355 0.331
## .B2_PE4_IncPbCh 0.702 0.081 8.629 0.000 0.702 0.511
## .B2_PE5_PosPR 0.707 0.082 8.607 0.000 0.707 0.551
## .B2_PE6_EasrWrt 0.335 0.044 7.556 0.000 0.335 0.259
## .B2_PE7_ImprvQl 0.758 0.087 8.688 0.000 0.758 0.547
## .B2_PE8_MrEffcn 0.349 0.048 7.214 0.000 0.349 0.247
## .B2_PE9_IncQlSE 0.416 0.074 5.657 0.000 0.416 0.311
## .B2_EE1_EasyTUs 0.448 0.057 7.832 0.000 0.448 0.463
## .B2_EE2_ClrUndr 0.497 0.075 6.658 0.000 0.497 0.423
## .B2_EE3_BcmSkll 0.461 0.070 6.554 0.000 0.461 0.394
## .B2_EE4_ToMchTm 0.997 0.132 7.544 0.000 0.997 0.769
## .B2_EE5_TCmplct 0.948 0.138 6.884 0.000 0.948 0.693
## .B2_EE6_TLngTLr 0.882 0.122 7.228 0.000 0.882 0.696
## .B2_FC1_Knowldg 2.014 0.207 9.751 0.000 2.014 0.750
## .B2_FC2_WrkflwC 0.707 0.111 6.351 0.000 0.707 0.450
## .B2_FC4_FtsWlWW 0.454 0.081 5.644 0.000 0.454 0.325
## .B2_SI1_Peers 0.327 0.078 4.191 0.000 0.327 0.175
## .B2_SI2_ResClmt 1.351 0.150 8.992 0.000 1.351 0.686
## .B2_SI3_Superrs 0.397 0.117 3.381 0.001 0.397 0.208
## .B2_SI4_Journls 1.183 0.120 9.860 0.000 1.183 0.787
## .B2_SI5_Field 1.119 0.138 8.096 0.000 1.119 0.693
## .B2_BehIntUse 0.933 0.113 8.232 0.000 0.933 0.408
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B2_PE1_Useful 0.507
## B2_PE2_WrtFstr 0.674
## B2_PE3_IncPrdc 0.669
## B2_PE4_IncPbCh 0.489
## B2_PE5_PosPR 0.449
## B2_PE6_EasrWrt 0.741
## B2_PE7_ImprvQl 0.453
## B2_PE8_MrEffcn 0.753
## B2_PE9_IncQlSE 0.689
## B2_EE1_EasyTUs 0.537
## B2_EE2_ClrUndr 0.577
## B2_EE3_BcmSkll 0.606
## B2_EE4_ToMchTm 0.231
## B2_EE5_TCmplct 0.307
## B2_EE6_TLngTLr 0.304
## B2_FC1_Knowldg 0.250
## B2_FC2_WrkflwC 0.550
## B2_FC4_FtsWlWW 0.675
## B2_SI1_Peers 0.825
## B2_SI2_ResClmt 0.314
## B2_SI3_Superrs 0.792
## B2_SI4_Journls 0.213
## B2_SI5_Field 0.307
## B2_BehIntUse 0.592B2model3factordropfc3 <-
'PE =~ B2_PE1_Useful + B2_PE2_WriteFaster + B2_PE3_IncProductivity + B2_PE4_IncPubChances + B2_PE5_PosPR + B2_PE6_EasierWrite + B2_PE7_ImproveQuality + B2_PE8_MoreEfficient + B2_PE9_IncQualSameEffort
EEFC=~ B2_EE1_EasyToUse + B2_EE2_ClearUnderstandable + B2_EE3_BecomeSkillful + B2_EE4_TooMuchTime + B2_EE5_TooComplicated + B2_EE6_TooLongToLearn + B2_FC1_Knowledge + B2_FC2_WorkflowCompatibility + B2_FC4_FitsWellWithWork
SI=~ B2_SI1_Peers + B2_SI2_ResClimate + B2_SI3_Superiors + B2_SI4_Journals + B2_SI5_Field
B2_BehIntUse ~ PE + EEFC + SI
'
#fit the model
fitB2.3facdropfc3 <- cfa(model = B2model3factordropfc3,
data = B2likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM")
#display the summary output
summary(fitB2.3facdropfc3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 28 iterations
##
## Optimization method NLMINB
## Number of free parameters 77
##
## Number of observations 185
##
## Estimator ML Robust
## Model Fit Test Statistic 882.873 717.789
## Degrees of freedom 247 247
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.230
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3311.570 2452.694
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.791 0.784
## Tucker-Lewis Index (TLI) 0.766 0.758
##
## Robust Comparative Fit Index (CFI) 0.803
## Robust Tucker-Lewis Index (TLI) 0.780
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -5921.869 -5921.869
## Loglikelihood unrestricted model (H1) -5480.433 -5480.433
##
## Number of free parameters 77 77
## Akaike (AIC) 11997.739 11997.739
## Bayesian (BIC) 12245.706 12245.706
## Sample-size adjusted Bayesian (BIC) 12001.824 12001.824
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.118 0.102
## 90 Percent Confidence Interval 0.110 0.126 0.094 0.109
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.113
## 90 Percent Confidence Interval 0.103 0.122
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.090 0.090
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B2_PE1_Useful 0.875 0.095 9.162 0.000 0.875 0.711
## B2_PE2_WrtFstr 0.908 0.079 11.549 0.000 0.908 0.807
## B2_PE3_IncPrdc 0.836 0.071 11.755 0.000 0.836 0.807
## B2_PE4_IncPbCh 0.857 0.090 9.469 0.000 0.857 0.731
## B2_PE5_PosPR 0.798 0.090 8.827 0.000 0.798 0.705
## B2_PE6_EasrWrt 0.971 0.075 12.871 0.000 0.971 0.855
## B2_PE7_ImprvQl 0.808 0.097 8.314 0.000 0.808 0.686
## B2_PE8_MrEffcn 1.034 0.075 13.703 0.000 1.034 0.870
## B2_PE9_IncQlSE 0.961 0.071 13.546 0.000 0.961 0.831
## EEFC =~
## B2_EE1_EasyTUs 0.721 0.075 9.597 0.000 0.721 0.733
## B2_EE2_ClrUndr 0.832 0.073 11.388 0.000 0.832 0.768
## B2_EE3_BcmSkll 0.845 0.069 12.256 0.000 0.845 0.782
## B2_EE4_ToMchTm 0.583 0.103 5.686 0.000 0.583 0.512
## B2_EE5_TCmplct 0.712 0.089 7.966 0.000 0.712 0.609
## B2_EE6_TLngTLr 0.679 0.092 7.369 0.000 0.679 0.603
## B2_FC1_Knowldg 0.822 0.108 7.594 0.000 0.822 0.501
## B2_FC2_WrkflwC 0.906 0.080 11.285 0.000 0.906 0.723
## B2_FC4_FtsWlWW 0.947 0.073 12.930 0.000 0.947 0.801
## SI =~
## B2_SI1_Peers 1.241 0.073 16.911 0.000 1.241 0.908
## B2_SI2_ResClmt 0.788 0.103 7.671 0.000 0.788 0.561
## B2_SI3_Superrs 1.230 0.084 14.709 0.000 1.230 0.890
## B2_SI4_Journls 0.567 0.094 6.010 0.000 0.567 0.463
## B2_SI5_Field 0.704 0.091 7.703 0.000 0.704 0.554
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B2_BehIntUse ~
## PE 0.546 0.124 4.414 0.000 0.546 0.361
## EEFC 0.664 0.123 5.403 0.000 0.664 0.439
## SI 0.098 0.102 0.961 0.336 0.098 0.065
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EEFC 0.680 0.043 15.919 0.000 0.680 0.680
## SI 0.559 0.052 10.730 0.000 0.559 0.559
## EEFC ~~
## SI 0.416 0.074 5.619 0.000 0.416 0.416
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 4.530 0.090 50.072 0.000 4.530 3.681
## .B2_PE2_WrtFstr 3.811 0.083 46.050 0.000 3.811 3.386
## .B2_PE3_IncPrdc 3.751 0.076 49.251 0.000 3.751 3.621
## .B2_PE4_IncPbCh 4.530 0.086 52.572 0.000 4.530 3.865
## .B2_PE5_PosPR 4.573 0.083 54.923 0.000 4.573 4.038
## .B2_PE6_EasrWrt 4.049 0.083 48.493 0.000 4.049 3.565
## .B2_PE7_ImprvQl 4.859 0.087 56.150 0.000 4.859 4.128
## .B2_PE8_MrEffcn 4.308 0.087 49.292 0.000 4.308 3.624
## .B2_PE9_IncQlSE 4.178 0.085 49.174 0.000 4.178 3.615
## .B2_EE1_EasyTUs 4.065 0.072 56.172 0.000 4.065 4.130
## .B2_EE2_ClrUndr 4.422 0.080 55.515 0.000 4.422 4.082
## .B2_EE3_BcmSkll 4.605 0.079 57.945 0.000 4.605 4.260
## .B2_EE4_ToMchTm 3.778 0.084 45.128 0.000 3.778 3.318
## .B2_EE5_TCmplct 4.373 0.086 50.835 0.000 4.373 3.737
## .B2_EE6_TLngTLr 4.141 0.083 50.038 0.000 4.141 3.679
## .B2_FC1_Knowldg 4.211 0.120 34.951 0.000 4.211 2.570
## .B2_FC2_WrkflwC 4.362 0.092 47.329 0.000 4.362 3.480
## .B2_FC4_FtsWlWW 4.276 0.087 49.156 0.000 4.276 3.614
## .B2_SI1_Peers 3.465 0.101 34.459 0.000 3.465 2.533
## .B2_SI2_ResClmt 4.157 0.103 40.281 0.000 4.157 2.962
## .B2_SI3_Superrs 3.308 0.102 32.553 0.000 3.308 2.393
## .B2_SI4_Journls 4.530 0.090 50.252 0.000 4.530 3.695
## .B2_SI5_Field 3.773 0.093 40.403 0.000 3.773 2.970
## .B2_BehIntUse 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B2_PE1_Useful 0.749 0.109 6.877 0.000 0.749 0.495
## .B2_PE2_WrtFstr 0.442 0.065 6.821 0.000 0.442 0.349
## .B2_PE3_IncPrdc 0.375 0.049 7.718 0.000 0.375 0.349
## .B2_PE4_IncPbCh 0.640 0.076 8.412 0.000 0.640 0.466
## .B2_PE5_PosPR 0.646 0.079 8.183 0.000 0.646 0.503
## .B2_PE6_EasrWrt 0.347 0.044 7.845 0.000 0.347 0.269
## .B2_PE7_ImprvQl 0.734 0.088 8.328 0.000 0.734 0.529
## .B2_PE8_MrEffcn 0.344 0.048 7.246 0.000 0.344 0.244
## .B2_PE9_IncQlSE 0.413 0.072 5.712 0.000 0.413 0.309
## .B2_EE1_EasyTUs 0.448 0.056 7.940 0.000 0.448 0.463
## .B2_EE2_ClrUndr 0.482 0.074 6.468 0.000 0.482 0.410
## .B2_EE3_BcmSkll 0.454 0.071 6.439 0.000 0.454 0.389
## .B2_EE4_ToMchTm 0.957 0.128 7.451 0.000 0.957 0.738
## .B2_EE5_TCmplct 0.862 0.129 6.688 0.000 0.862 0.630
## .B2_EE6_TLngTLr 0.806 0.112 7.186 0.000 0.806 0.636
## .B2_FC1_Knowldg 2.010 0.203 9.883 0.000 2.010 0.749
## .B2_FC2_WrkflwC 0.751 0.113 6.642 0.000 0.751 0.478
## .B2_FC4_FtsWlWW 0.502 0.084 6.001 0.000 0.502 0.359
## .B2_SI1_Peers 0.330 0.078 4.208 0.000 0.330 0.176
## .B2_SI2_ResClmt 1.349 0.150 8.994 0.000 1.349 0.685
## .B2_SI3_Superrs 0.396 0.117 3.381 0.001 0.396 0.207
## .B2_SI4_Journls 1.181 0.120 9.859 0.000 1.181 0.786
## .B2_SI5_Field 1.118 0.138 8.089 0.000 1.118 0.693
## .B2_BehIntUse 0.931 0.114 8.151 0.000 0.931 0.407
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B2_PE1_Useful 0.505
## B2_PE2_WrtFstr 0.651
## B2_PE3_IncPrdc 0.651
## B2_PE4_IncPbCh 0.534
## B2_PE5_PosPR 0.497
## B2_PE6_EasrWrt 0.731
## B2_PE7_ImprvQl 0.471
## B2_PE8_MrEffcn 0.756
## B2_PE9_IncQlSE 0.691
## B2_EE1_EasyTUs 0.537
## B2_EE2_ClrUndr 0.590
## B2_EE3_BcmSkll 0.611
## B2_EE4_ToMchTm 0.262
## B2_EE5_TCmplct 0.370
## B2_EE6_TLngTLr 0.364
## B2_FC1_Knowldg 0.251
## B2_FC2_WrkflwC 0.522
## B2_FC4_FtsWlWW 0.641
## B2_SI1_Peers 0.824
## B2_SI2_ResClmt 0.315
## B2_SI3_Superrs 0.793
## B2_SI4_Journls 0.214
## B2_SI5_Field 0.307
## B2_BehIntUse 0.593##B1 Completers CFA
B1model <- #basic model
'PE =~ B1_PE1_Useful + B1_PE2_WriteFaster + B1_PE3_IncProductivity + B1_PE4_IncPubChances + B1_PE5_PosPR + B1_PE6_EasierWrite + B1_PE7_ImproveQuality + B1_PE8_MoreEfficient + B1_PE9_IncQualSameEffort
EE=~ B1_EE1_EasyToUse + B1_EE2_ClearUnderstandable + B1_EE3_BecomeSkillful + B1_EE4_TooMuchTime + B1_EE5_TooComplicated + B1_EE6_TooLongToLearn
SI=~ B1_SI1_Peers + B1_SI2_ResClimate + B1_SI3_Superiors + B1_SI4_Journals + B1_SI5_Field
FC=~ B1_FC1_Knowledge + B1_FC2_WorkflowCompatibility + B1_FC3_EasyToUse + B1_FC4_FitsWellWithWork
B1_BehIntUse ~ PE + EE + SI + FC
'
#fit the model
fitB1 <- cfa(model = B1model, data = B1likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB1, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 35 iterations
##
## Optimization method NLMINB
## Number of free parameters 84
##
## Number of observations 195
##
## Estimator ML Robust
## Model Fit Test Statistic 935.754 776.900
## Degrees of freedom 266 266
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.204
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 4232.521 2981.536
## Degrees of freedom 300 300
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.830 0.809
## Tucker-Lewis Index (TLI) 0.808 0.785
##
## Robust Comparative Fit Index (CFI) 0.838
## Robust Tucker-Lewis Index (TLI) 0.818
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -6212.950 -6212.950
## Loglikelihood unrestricted model (H1) -5745.073 -5745.073
##
## Number of free parameters 84 84
## Akaike (AIC) 12593.900 12593.900
## Bayesian (BIC) 12868.832 12868.832
## Sample-size adjusted Bayesian (BIC) 12602.733 12602.733
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.114 0.099
## 90 Percent Confidence Interval 0.106 0.122 0.092 0.107
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.109
## 90 Percent Confidence Interval 0.100 0.118
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.087 0.087
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B1_PE1_Useful 0.922 0.092 10.016 0.000 0.922 0.736
## B1_PE2_WrtFstr 1.137 0.078 14.649 0.000 1.137 0.856
## B1_PE3_IncPrdc 1.079 0.073 14.836 0.000 1.079 0.856
## B1_PE4_IncPbCh 0.882 0.078 11.348 0.000 0.882 0.797
## B1_PE5_PosPR 0.871 0.086 10.128 0.000 0.871 0.773
## B1_PE6_EasrWrt 1.079 0.072 14.972 0.000 1.079 0.895
## B1_PE7_ImprvQl 0.988 0.082 12.002 0.000 0.988 0.819
## B1_PE8_MrEffcn 1.057 0.081 12.984 0.000 1.057 0.845
## B1_PE9_IncQlSE 1.044 0.082 12.752 0.000 1.044 0.844
## EE =~
## B1_EE1_EasyTUs 0.850 0.071 12.002 0.000 0.850 0.795
## B1_EE2_ClrUndr 0.900 0.065 13.867 0.000 0.900 0.837
## B1_EE3_BcmSkll 0.867 0.069 12.552 0.000 0.867 0.797
## B1_EE4_ToMchTm 0.667 0.095 7.012 0.000 0.667 0.539
## B1_EE5_TCmplct 0.852 0.074 11.598 0.000 0.852 0.724
## B1_EE6_TLngTLr 0.814 0.080 10.235 0.000 0.814 0.676
## SI =~
## B1_SI1_Peers 1.001 0.075 13.322 0.000 1.001 0.849
## B1_SI2_ResClmt 0.799 0.095 8.377 0.000 0.799 0.621
## B1_SI3_Superrs 1.175 0.072 16.364 0.000 1.175 0.886
## B1_SI4_Journls 0.682 0.081 8.443 0.000 0.682 0.648
## B1_SI5_Field 0.653 0.092 7.125 0.000 0.653 0.531
## FC =~
## B1_FC1_Knowldg 0.940 0.100 9.406 0.000 0.940 0.609
## B1_FC2_WrkflwC 0.998 0.084 11.889 0.000 0.998 0.769
## B1_FC3_EasyTUs 1.055 0.070 15.133 0.000 1.055 0.911
## B1_FC4_FtsWlWW 1.037 0.069 14.936 0.000 1.037 0.870
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1_BehIntUse ~
## PE 0.498 0.106 4.688 0.000 0.498 0.365
## EE -0.120 0.214 -0.561 0.575 -0.120 -0.088
## SI 0.166 0.092 1.805 0.071 0.166 0.122
## FC 0.680 0.215 3.168 0.002 0.680 0.499
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EE 0.535 0.069 7.737 0.000 0.535 0.535
## SI 0.663 0.053 12.520 0.000 0.663 0.663
## FC 0.516 0.070 7.367 0.000 0.516 0.516
## EE ~~
## SI 0.399 0.076 5.240 0.000 0.399 0.399
## FC 0.883 0.023 38.520 0.000 0.883 0.883
## SI ~~
## FC 0.424 0.072 5.891 0.000 0.424 0.424
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 5.205 0.090 58.043 0.000 5.205 4.157
## .B1_PE2_WrtFstr 4.626 0.095 48.656 0.000 4.626 3.484
## .B1_PE3_IncPrdc 4.374 0.090 48.473 0.000 4.374 3.471
## .B1_PE4_IncPbCh 4.974 0.079 62.761 0.000 4.974 4.494
## .B1_PE5_PosPR 4.887 0.081 60.574 0.000 4.887 4.338
## .B1_PE6_EasrWrt 4.738 0.086 54.862 0.000 4.738 3.929
## .B1_PE7_ImprvQl 5.103 0.086 59.048 0.000 5.103 4.228
## .B1_PE8_MrEffcn 4.815 0.090 53.736 0.000 4.815 3.848
## .B1_PE9_IncQlSE 4.651 0.089 52.516 0.000 4.651 3.761
## .B1_EE1_EasyTUs 4.800 0.077 62.651 0.000 4.800 4.487
## .B1_EE2_ClrUndr 5.185 0.077 67.347 0.000 5.185 4.823
## .B1_EE3_BcmSkll 4.985 0.078 63.959 0.000 4.985 4.580
## .B1_EE4_ToMchTm 4.200 0.089 47.348 0.000 4.200 3.391
## .B1_EE5_TCmplct 4.933 0.084 58.531 0.000 4.933 4.191
## .B1_EE6_TLngTLr 4.708 0.086 54.633 0.000 4.708 3.912
## .B1_SI1_Peers 4.015 0.084 47.568 0.000 4.015 3.406
## .B1_SI2_ResClmt 4.692 0.092 50.870 0.000 4.692 3.643
## .B1_SI3_Superrs 3.867 0.095 40.740 0.000 3.867 2.917
## .B1_SI4_Journls 4.990 0.075 66.207 0.000 4.990 4.741
## .B1_SI5_Field 3.908 0.088 44.415 0.000 3.908 3.181
## .B1_FC1_Knowldg 4.518 0.111 40.869 0.000 4.518 2.927
## .B1_FC2_WrkflwC 4.728 0.093 50.863 0.000 4.728 3.642
## .B1_FC3_EasyTUs 4.831 0.083 58.262 0.000 4.831 4.172
## .B1_FC4_FtsWlWW 4.785 0.085 56.063 0.000 4.785 4.015
## .B1_BehIntUse 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 0.718 0.149 4.827 0.000 0.718 0.458
## .B1_PE2_WrtFstr 0.471 0.074 6.398 0.000 0.471 0.267
## .B1_PE3_IncPrdc 0.425 0.052 8.101 0.000 0.425 0.268
## .B1_PE4_IncPbCh 0.446 0.057 7.819 0.000 0.446 0.364
## .B1_PE5_PosPR 0.511 0.065 7.843 0.000 0.511 0.402
## .B1_PE6_EasrWrt 0.290 0.044 6.627 0.000 0.290 0.199
## .B1_PE7_ImprvQl 0.479 0.070 6.841 0.000 0.479 0.329
## .B1_PE8_MrEffcn 0.449 0.081 5.575 0.000 0.449 0.287
## .B1_PE9_IncQlSE 0.440 0.055 7.994 0.000 0.440 0.288
## .B1_EE1_EasyTUs 0.422 0.055 7.700 0.000 0.422 0.368
## .B1_EE2_ClrUndr 0.346 0.050 6.891 0.000 0.346 0.299
## .B1_EE3_BcmSkll 0.432 0.055 7.924 0.000 0.432 0.365
## .B1_EE4_ToMchTm 1.089 0.126 8.645 0.000 1.089 0.710
## .B1_EE5_TCmplct 0.659 0.114 5.757 0.000 0.659 0.475
## .B1_EE6_TLngTLr 0.785 0.109 7.203 0.000 0.785 0.542
## .B1_SI1_Peers 0.387 0.054 7.175 0.000 0.387 0.279
## .B1_SI2_ResClmt 1.020 0.119 8.604 0.000 1.020 0.615
## .B1_SI3_Superrs 0.376 0.071 5.272 0.000 0.376 0.214
## .B1_SI4_Journls 0.642 0.071 8.990 0.000 0.642 0.580
## .B1_SI5_Field 1.084 0.135 8.025 0.000 1.084 0.718
## .B1_FC1_Knowldg 1.499 0.170 8.825 0.000 1.499 0.629
## .B1_FC2_WrkflwC 0.690 0.119 5.791 0.000 0.690 0.409
## .B1_FC3_EasyTUs 0.228 0.047 4.859 0.000 0.228 0.170
## .B1_FC4_FtsWlWW 0.345 0.056 6.193 0.000 0.345 0.243
## .B1_BehIntUse 0.774 0.089 8.683 0.000 0.774 0.417
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B1_PE1_Useful 0.542
## B1_PE2_WrtFstr 0.733
## B1_PE3_IncPrdc 0.732
## B1_PE4_IncPbCh 0.636
## B1_PE5_PosPR 0.598
## B1_PE6_EasrWrt 0.801
## B1_PE7_ImprvQl 0.671
## B1_PE8_MrEffcn 0.713
## B1_PE9_IncQlSE 0.712
## B1_EE1_EasyTUs 0.632
## B1_EE2_ClrUndr 0.701
## B1_EE3_BcmSkll 0.635
## B1_EE4_ToMchTm 0.290
## B1_EE5_TCmplct 0.525
## B1_EE6_TLngTLr 0.458
## B1_SI1_Peers 0.721
## B1_SI2_ResClmt 0.385
## B1_SI3_Superrs 0.786
## B1_SI4_Journls 0.420
## B1_SI5_Field 0.282
## B1_FC1_Knowldg 0.371
## B1_FC2_WrkflwC 0.591
## B1_FC3_EasyTUs 0.830
## B1_FC4_FtsWlWW 0.757
## B1_BehIntUse 0.583#pretty formatted table
library(dplyr)
library(tidyr)
parameterEstimates(fitB1, standardized = TRUE) %>%
filter(op == "=~") %>% # =~ means "is measured by"
select('Latent Factor' = lhs, Indicator = rhs, B = est, SE = se, Z = z, 'p-value'= pvalue, Beta = std.all) %>%
kable(digits = 3, format = "pandoc", caption = "Factor Loadings")| Latent Factor | Indicator | B | SE | Z | p-value | Beta |
|---|---|---|---|---|---|---|
| PE | B1_PE1_Useful | 0.9218090 | 0.0920293 | 10.016469 | 0 | 0.7361114 |
| PE | B1_PE2_WriteFaster | 1.1365325 | 0.0775857 | 14.648746 | 0 | 0.8561061 |
| PE | B1_PE3_IncProductivity | 1.0785071 | 0.0726945 | 14.836160 | 0 | 0.8558351 |
| PE | B1_PE4_IncPubChances | 0.8824957 | 0.0777648 | 11.348272 | 0 | 0.7973468 |
| PE | B1_PE5_PosPR | 0.8708811 | 0.0859867 | 10.128092 | 0 | 0.7729883 |
| PE | B1_PE6_EasierWrite | 1.0794133 | 0.0720951 | 14.972070 | 0 | 0.8949641 |
| PE | B1_PE7_ImproveQuality | 0.9884341 | 0.0823591 | 12.001519 | 0 | 0.8191158 |
| PE | B1_PE8_MoreEfficient | 1.0568840 | 0.0814003 | 12.983790 | 0 | 0.8445841 |
| PE | B1_PE9_IncQualSameEffort | 1.0436840 | 0.0818429 | 12.752279 | 0 | 0.8438576 |
| EE | B1_EE1_EasyToUse | 0.8503087 | 0.0708495 | 12.001616 | 0 | 0.7947796 |
| EE | B1_EE2_ClearUnderstandable | 0.8999124 | 0.0648937 | 13.867483 | 0 | 0.8371137 |
| EE | B1_EE3_BecomeSkillful | 0.8674162 | 0.0691075 | 12.551701 | 0 | 0.7970431 |
| EE | B1_EE4_TooMuchTime | 0.6674997 | 0.0951965 | 7.011810 | 0 | 0.5388749 |
| EE | B1_EE5_TooComplicated | 0.8524500 | 0.0735010 | 11.597799 | 0 | 0.7242640 |
| EE | B1_EE6_TooLongToLearn | 0.8139969 | 0.0795307 | 10.235003 | 0 | 0.6764800 |
| SI | B1_SI1_Peers | 1.0012397 | 0.0751588 | 13.321650 | 0 | 0.8493901 |
| SI | B1_SI2_ResClimate | 0.7993236 | 0.0954203 | 8.376870 | 0 | 0.6205510 |
| SI | B1_SI3_Superiors | 1.1748800 | 0.0717984 | 16.363593 | 0 | 0.8864629 |
| SI | B1_SI4_Journals | 0.6822993 | 0.0808077 | 8.443498 | 0 | 0.6483148 |
| SI | B1_SI5_Field | 0.6525617 | 0.0915814 | 7.125487 | 0 | 0.5311484 |
| FC | B1_FC1_Knowledge | 0.9404133 | 0.0999826 | 9.405770 | 0 | 0.6091933 |
| FC | B1_FC2_WorkflowCompatibility | 0.9977515 | 0.0839216 | 11.889084 | 0 | 0.7686149 |
| FC | B1_FC3_EasyToUse | 1.0550085 | 0.0697155 | 15.133053 | 0 | 0.9111865 |
| FC | B1_FC4_FitsWellWithWork | 1.0371603 | 0.0694426 | 14.935512 | 0 | 0.8702810 |
#correlation matrix
library(corrgram)
corrgram(B1likert, order = NULL, lower.panel = panel.shade,
upper.panel = NULL, text.panel = panel.txt, label.srt = TRUE,
main = "Subgroup 3 Correlation Matrix")## Warning in cor(x, use = "pairwise.complete.obs", method = cor.method): the
## standard deviation is zero## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
## Warning in cor(x, y, use = "pair", method = cor.method): the standard
## deviation is zero
#look into the modification indices to see if there are certain variables that really should be collapsed. If you add something to the model then you rerun it and compare it to the old one using anova.
modificationindices(fitB1, sort = TRUE)## lhs op rhs mi
## 399 B1_EE5_TooComplicated ~~ B1_EE6_TooLongToLearn 121.221
## 234 B1_PE4_IncPubChances ~~ B1_PE5_PosPR 97.967
## 387 B1_EE4_TooMuchTime ~~ B1_EE5_TooComplicated 40.777
## 189 B1_PE2_WriteFaster ~~ B1_PE3_IncProductivity 39.567
## 388 B1_EE4_TooMuchTime ~~ B1_EE6_TooLongToLearn 33.944
## 215 B1_PE3_IncProductivity ~~ B1_PE7_ImproveQuality 28.614
## 163 FC =~ B1_SI4_Journals 26.667
## 345 B1_EE1_EasyToUse ~~ B1_EE2_ClearUnderstandable 25.920
## 348 B1_EE1_EasyToUse ~~ B1_EE5_TooComplicated 25.328
## 455 B1_FC1_Knowledge ~~ B1_FC2_WorkflowCompatibility 23.393
## 107 PE =~ B1_FC4_FitsWellWithWork 22.370
## 421 B1_SI1_Peers ~~ B1_SI3_Superiors 21.241
## 120 EE =~ B1_SI4_Journals 21.161
## 256 B1_PE5_PosPR ~~ B1_PE7_ImproveQuality 20.425
## 457 B1_FC1_Knowledge ~~ B1_FC4_FitsWellWithWork 19.460
## 361 B1_EE2_ClearUnderstandable ~~ B1_EE4_TooMuchTime 17.281
## 161 FC =~ B1_SI2_ResClimate 16.837
## 193 B1_PE2_WriteFaster ~~ B1_PE7_ImproveQuality 16.654
## 118 EE =~ B1_SI2_ResClimate 16.130
## 97 PE =~ B1_EE5_TooComplicated 15.987
## 196 B1_PE2_WriteFaster ~~ B1_EE1_EasyToUse 15.451
## 191 B1_PE2_WriteFaster ~~ B1_PE5_PosPR 14.573
## 135 SI =~ B1_EE1_EasyToUse 14.552
## 349 B1_EE1_EasyToUse ~~ B1_EE6_TooLongToLearn 13.619
## 139 SI =~ B1_EE5_TooComplicated 13.542
## 108 EE =~ B1_PE1_Useful 13.449
## 93 PE =~ B1_EE1_EasyToUse 12.851
## 458 B1_FC1_Knowledge ~~ B1_BehIntUse 12.336
## 236 B1_PE4_IncPubChances ~~ B1_PE7_ImproveQuality 12.299
## 98 PE =~ B1_EE6_TooLongToLearn 11.882
## 145 FC =~ B1_PE1_Useful 11.847
## 454 B1_SI5_Field ~~ B1_BehIntUse 11.079
## 363 B1_EE2_ClearUnderstandable ~~ B1_EE6_TooLongToLearn 10.627
## 140 SI =~ B1_EE6_TooLongToLearn 10.174
## 464 B1_FC4_FitsWellWithWork ~~ B1_BehIntUse 10.143
## 104 PE =~ B1_FC1_Knowledge 10.064
## 102 PE =~ B1_SI4_Journals 9.534
## 160 FC =~ B1_SI1_Peers 9.492
## 214 B1_PE3_IncProductivity ~~ B1_PE6_EasierWrite 9.399
## 255 B1_PE5_PosPR ~~ B1_PE6_EasierWrite 8.160
## 422 B1_SI1_Peers ~~ B1_SI4_Journals 8.005
## 192 B1_PE2_WriteFaster ~~ B1_PE6_EasierWrite 7.939
## 182 B1_PE1_Useful ~~ B1_SI4_Journals 7.907
## 259 B1_PE5_PosPR ~~ B1_EE1_EasyToUse 7.882
## 227 B1_PE3_IncProductivity ~~ B1_SI4_Journals 7.358
## 170 B1_PE1_Useful ~~ B1_PE7_ImproveQuality 7.222
## 258 B1_PE5_PosPR ~~ B1_PE9_IncQualSameEffort 7.172
## 404 B1_EE5_TooComplicated ~~ B1_SI5_Field 7.116
## 169 B1_PE1_Useful ~~ B1_PE6_EasierWrite 7.032
## 241 B1_PE4_IncPubChances ~~ B1_EE3_BecomeSkillful 6.930
## 235 B1_PE4_IncPubChances ~~ B1_PE6_EasierWrite 6.854
## 347 B1_EE1_EasyToUse ~~ B1_EE4_TooMuchTime 6.781
## 418 B1_EE6_TooLongToLearn ~~ B1_FC4_FitsWellWithWork 6.604
## 190 B1_PE2_WriteFaster ~~ B1_PE4_IncPubChances 6.577
## 379 B1_EE3_BecomeSkillful ~~ B1_SI3_Superiors 6.453
## 319 B1_PE8_MoreEfficient ~~ B1_SI1_Peers 6.366
## 117 EE =~ B1_SI1_Peers 6.361
## 289 B1_PE6_EasierWrite ~~ B1_FC1_Knowledge 6.249
## 237 B1_PE4_IncPubChances ~~ B1_PE8_MoreEfficient 6.177
## 152 FC =~ B1_PE8_MoreEfficient 6.135
## 115 EE =~ B1_PE8_MoreEfficient 5.818
## 415 B1_EE6_TooLongToLearn ~~ B1_FC1_Knowledge 5.603
## 143 SI =~ B1_FC3_EasyToUse 5.522
## 296 B1_PE7_ImproveQuality ~~ B1_EE1_EasyToUse 5.521
## 452 B1_SI5_Field ~~ B1_FC3_EasyToUse 5.338
## 162 FC =~ B1_SI3_Superiors 5.330
## 325 B1_PE8_MoreEfficient ~~ B1_FC2_WorkflowCompatibility 5.326
## 132 SI =~ B1_PE7_ImproveQuality 5.256
## 292 B1_PE6_EasierWrite ~~ B1_FC4_FitsWellWithWork 5.217
## 308 B1_PE7_ImproveQuality ~~ B1_FC2_WorkflowCompatibility 5.178
## 119 EE =~ B1_SI3_Superiors 5.165
## 130 SI =~ B1_PE5_PosPR 5.161
## 159 FC =~ B1_EE6_TooLongToLearn 4.920
## 442 B1_SI3_Superiors ~~ B1_FC4_FitsWellWithWork 4.858
## 439 B1_SI3_Superiors ~~ B1_FC1_Knowledge 4.851
## 395 B1_EE4_TooMuchTime ~~ B1_FC2_WorkflowCompatibility 4.721
## 106 PE =~ B1_FC3_EasyToUse 4.660
## 147 FC =~ B1_PE3_IncProductivity 4.497
## 218 B1_PE3_IncProductivity ~~ B1_EE1_EasyToUse 4.487
## 448 B1_SI4_Journals ~~ B1_FC4_FitsWellWithWork 4.319
## 238 B1_PE4_IncPubChances ~~ B1_PE9_IncQualSameEffort 4.254
## 213 B1_PE3_IncProductivity ~~ B1_PE5_PosPR 4.243
## 326 B1_PE8_MoreEfficient ~~ B1_FC3_EasyToUse 4.237
## 131 SI =~ B1_PE6_EasierWrite 4.083
## 375 B1_EE3_BecomeSkillful ~~ B1_EE5_TooComplicated 3.979
## 329 B1_PE9_IncQualSameEffort ~~ B1_EE1_EasyToUse 3.979
## 185 B1_PE1_Useful ~~ B1_FC2_WorkflowCompatibility 3.783
## 112 EE =~ B1_PE5_PosPR 3.780
## 362 B1_EE2_ClearUnderstandable ~~ B1_EE5_TooComplicated 3.732
## 307 B1_PE7_ImproveQuality ~~ B1_FC1_Knowledge 3.711
## 133 SI =~ B1_PE8_MoreEfficient 3.701
## 110 EE =~ B1_PE3_IncProductivity 3.670
## 304 B1_PE7_ImproveQuality ~~ B1_SI3_Superiors 3.594
## 330 B1_PE9_IncQualSameEffort ~~ B1_EE2_ClearUnderstandable 3.576
## 398 B1_EE4_TooMuchTime ~~ B1_BehIntUse 3.540
## 208 B1_PE2_WriteFaster ~~ B1_FC2_WorkflowCompatibility 3.433
## 177 B1_PE1_Useful ~~ B1_EE5_TooComplicated 3.410
## 440 B1_SI3_Superiors ~~ B1_FC2_WorkflowCompatibility 3.366
## 316 B1_PE8_MoreEfficient ~~ B1_EE4_TooMuchTime 3.346
## 212 B1_PE3_IncProductivity ~~ B1_PE4_IncPubChances 3.297
## 222 B1_PE3_IncProductivity ~~ B1_EE5_TooComplicated 3.254
## 374 B1_EE3_BecomeSkillful ~~ B1_EE4_TooMuchTime 3.250
## 429 B1_SI2_ResClimate ~~ B1_SI3_Superiors 3.245
## 144 SI =~ B1_FC4_FitsWellWithWork 3.210
## 280 B1_PE6_EasierWrite ~~ B1_EE3_BecomeSkillful 3.197
## 384 B1_EE3_BecomeSkillful ~~ B1_FC3_EasyToUse 3.128
## 173 B1_PE1_Useful ~~ B1_EE1_EasyToUse 3.116
## 149 FC =~ B1_PE5_PosPR 3.104
## 175 B1_PE1_Useful ~~ B1_EE3_BecomeSkillful 3.009
## 453 B1_SI5_Field ~~ B1_FC4_FitsWellWithWork 2.993
## 266 B1_PE5_PosPR ~~ B1_SI2_ResClimate 2.978
## 95 PE =~ B1_EE3_BecomeSkillful 2.949
## 412 B1_EE6_TooLongToLearn ~~ B1_SI3_Superiors 2.929
## 397 B1_EE4_TooMuchTime ~~ B1_FC4_FitsWellWithWork 2.905
## 200 B1_PE2_WriteFaster ~~ B1_EE5_TooComplicated 2.904
## 167 B1_PE1_Useful ~~ B1_PE4_IncPubChances 2.863
## 165 B1_PE1_Useful ~~ B1_PE2_WriteFaster 2.849
## 101 PE =~ B1_SI3_Superiors 2.836
## 261 B1_PE5_PosPR ~~ B1_EE3_BecomeSkillful 2.816
## 410 B1_EE6_TooLongToLearn ~~ B1_SI1_Peers 2.764
## 369 B1_EE2_ClearUnderstandable ~~ B1_FC1_Knowledge 2.752
## 317 B1_PE8_MoreEfficient ~~ B1_EE5_TooComplicated 2.587
## 239 B1_PE4_IncPubChances ~~ B1_EE1_EasyToUse 2.580
## 373 B1_EE2_ClearUnderstandable ~~ B1_BehIntUse 2.558
## 315 B1_PE8_MoreEfficient ~~ B1_EE3_BecomeSkillful 2.484
## 148 FC =~ B1_PE4_IncPubChances 2.445
## 394 B1_EE4_TooMuchTime ~~ B1_FC1_Knowledge 2.419
## 122 EE =~ B1_FC1_Knowledge 2.400
## 353 B1_EE1_EasyToUse ~~ B1_SI4_Journals 2.385
## 129 SI =~ B1_PE4_IncPubChances 2.293
## 276 B1_PE6_EasierWrite ~~ B1_PE8_MoreEfficient 2.234
## 203 B1_PE2_WriteFaster ~~ B1_SI2_ResClimate 2.178
## 461 B1_FC2_WorkflowCompatibility ~~ B1_BehIntUse 2.148
## 128 SI =~ B1_PE3_IncProductivity 2.144
## 154 FC =~ B1_EE1_EasyToUse 2.119
## 240 B1_PE4_IncPubChances ~~ B1_EE2_ClearUnderstandable 2.059
## 183 B1_PE1_Useful ~~ B1_SI5_Field 2.059
## 462 B1_FC3_EasyToUse ~~ B1_FC4_FitsWellWithWork 2.054
## 257 B1_PE5_PosPR ~~ B1_PE8_MoreEfficient 2.030
## 100 PE =~ B1_SI2_ResClimate 1.992
## 294 B1_PE7_ImproveQuality ~~ B1_PE8_MoreEfficient 1.967
## 333 B1_PE9_IncQualSameEffort ~~ B1_EE5_TooComplicated 1.963
## 181 B1_PE1_Useful ~~ B1_SI3_Superiors 1.915
## 351 B1_EE1_EasyToUse ~~ B1_SI2_ResClimate 1.903
## 223 B1_PE3_IncProductivity ~~ B1_EE6_TooLongToLearn 1.901
## 376 B1_EE3_BecomeSkillful ~~ B1_EE6_TooLongToLearn 1.896
## 365 B1_EE2_ClearUnderstandable ~~ B1_SI2_ResClimate 1.880
## 136 SI =~ B1_EE2_ClearUnderstandable 1.825
## 356 B1_EE1_EasyToUse ~~ B1_FC2_WorkflowCompatibility 1.780
## 243 B1_PE4_IncPubChances ~~ B1_EE5_TooComplicated 1.727
## 444 B1_SI4_Journals ~~ B1_SI5_Field 1.677
## 437 B1_SI3_Superiors ~~ B1_SI4_Journals 1.663
## 252 B1_PE4_IncPubChances ~~ B1_FC3_EasyToUse 1.607
## 156 FC =~ B1_EE3_BecomeSkillful 1.604
## 168 B1_PE1_Useful ~~ B1_PE5_PosPR 1.593
## 428 B1_SI1_Peers ~~ B1_BehIntUse 1.543
## 405 B1_EE5_TooComplicated ~~ B1_FC1_Knowledge 1.504
## 265 B1_PE5_PosPR ~~ B1_SI1_Peers 1.490
## 327 B1_PE8_MoreEfficient ~~ B1_FC4_FitsWellWithWork 1.474
## 459 B1_FC2_WorkflowCompatibility ~~ B1_FC3_EasyToUse 1.464
## 201 B1_PE2_WriteFaster ~~ B1_EE6_TooLongToLearn 1.461
## 419 B1_EE6_TooLongToLearn ~~ B1_BehIntUse 1.414
## 443 B1_SI3_Superiors ~~ B1_BehIntUse 1.412
## 205 B1_PE2_WriteFaster ~~ B1_SI4_Journals 1.409
## 431 B1_SI2_ResClimate ~~ B1_SI5_Field 1.403
## 312 B1_PE8_MoreEfficient ~~ B1_PE9_IncQualSameEffort 1.398
## 305 B1_PE7_ImproveQuality ~~ B1_SI4_Journals 1.384
## 111 EE =~ B1_PE4_IncPubChances 1.384
## 430 B1_SI2_ResClimate ~~ B1_SI4_Journals 1.373
## 229 B1_PE3_IncProductivity ~~ B1_FC1_Knowledge 1.348
## 449 B1_SI4_Journals ~~ B1_BehIntUse 1.332
## 180 B1_PE1_Useful ~~ B1_SI2_ResClimate 1.325
## 350 B1_EE1_EasyToUse ~~ B1_SI1_Peers 1.298
## 262 B1_PE5_PosPR ~~ B1_EE4_TooMuchTime 1.282
## 198 B1_PE2_WriteFaster ~~ B1_EE3_BecomeSkillful 1.278
## 456 B1_FC1_Knowledge ~~ B1_FC3_EasyToUse 1.245
## 427 B1_SI1_Peers ~~ B1_FC4_FitsWellWithWork 1.241
## 341 B1_PE9_IncQualSameEffort ~~ B1_FC2_WorkflowCompatibility 1.237
## 216 B1_PE3_IncProductivity ~~ B1_PE8_MoreEfficient 1.231
## 342 B1_PE9_IncQualSameEffort ~~ B1_FC3_EasyToUse 1.215
## 254 B1_PE4_IncPubChances ~~ B1_BehIntUse 1.202
## 360 B1_EE2_ClearUnderstandable ~~ B1_EE3_BecomeSkillful 1.200
## 99 PE =~ B1_SI1_Peers 1.196
## 378 B1_EE3_BecomeSkillful ~~ B1_SI2_ResClimate 1.194
## 158 FC =~ B1_EE5_TooComplicated 1.187
## 287 B1_PE6_EasierWrite ~~ B1_SI4_Journals 1.178
## 434 B1_SI2_ResClimate ~~ B1_FC3_EasyToUse 1.177
## 392 B1_EE4_TooMuchTime ~~ B1_SI4_Journals 1.160
## 324 B1_PE8_MoreEfficient ~~ B1_FC1_Knowledge 1.153
## 244 B1_PE4_IncPubChances ~~ B1_EE6_TooLongToLearn 1.148
## 311 B1_PE7_ImproveQuality ~~ B1_BehIntUse 1.113
## 199 B1_PE2_WriteFaster ~~ B1_EE4_TooMuchTime 1.093
## 134 SI =~ B1_PE9_IncQualSameEffort 1.086
## 381 B1_EE3_BecomeSkillful ~~ B1_SI5_Field 1.068
## 409 B1_EE5_TooComplicated ~~ B1_BehIntUse 1.054
## 268 B1_PE5_PosPR ~~ B1_SI4_Journals 1.033
## 338 B1_PE9_IncQualSameEffort ~~ B1_SI4_Journals 1.014
## 105 PE =~ B1_FC2_WorkflowCompatibility 1.008
## 166 B1_PE1_Useful ~~ B1_PE3_IncProductivity 0.972
## 344 B1_PE9_IncQualSameEffort ~~ B1_BehIntUse 0.969
## 142 SI =~ B1_FC2_WorkflowCompatibility 0.965
## 217 B1_PE3_IncProductivity ~~ B1_PE9_IncQualSameEffort 0.918
## 400 B1_EE5_TooComplicated ~~ B1_SI1_Peers 0.913
## 146 FC =~ B1_PE2_WriteFaster 0.911
## 336 B1_PE9_IncQualSameEffort ~~ B1_SI2_ResClimate 0.911
## 406 B1_EE5_TooComplicated ~~ B1_FC2_WorkflowCompatibility 0.909
## 414 B1_EE6_TooLongToLearn ~~ B1_SI5_Field 0.898
## 322 B1_PE8_MoreEfficient ~~ B1_SI4_Journals 0.889
## 417 B1_EE6_TooLongToLearn ~~ B1_FC3_EasyToUse 0.874
## 408 B1_EE5_TooComplicated ~~ B1_FC4_FitsWellWithWork 0.862
## 411 B1_EE6_TooLongToLearn ~~ B1_SI2_ResClimate 0.851
## 357 B1_EE1_EasyToUse ~~ B1_FC3_EasyToUse 0.847
## 413 B1_EE6_TooLongToLearn ~~ B1_SI4_Journals 0.829
## 358 B1_EE1_EasyToUse ~~ B1_FC4_FitsWellWithWork 0.814
## 275 B1_PE6_EasierWrite ~~ B1_PE7_ImproveQuality 0.782
## 288 B1_PE6_EasierWrite ~~ B1_SI5_Field 0.762
## 423 B1_SI1_Peers ~~ B1_SI5_Field 0.760
## 274 B1_PE5_PosPR ~~ B1_BehIntUse 0.756
## 246 B1_PE4_IncPubChances ~~ B1_SI2_ResClimate 0.751
## 245 B1_PE4_IncPubChances ~~ B1_SI1_Peers 0.746
## 372 B1_EE2_ClearUnderstandable ~~ B1_FC4_FitsWellWithWork 0.734
## 297 B1_PE7_ImproveQuality ~~ B1_EE2_ClearUnderstandable 0.731
## 390 B1_EE4_TooMuchTime ~~ B1_SI2_ResClimate 0.669
## 270 B1_PE5_PosPR ~~ B1_FC1_Knowledge 0.641
## 250 B1_PE4_IncPubChances ~~ B1_FC1_Knowledge 0.639
## 309 B1_PE7_ImproveQuality ~~ B1_FC3_EasyToUse 0.635
## 127 SI =~ B1_PE2_WriteFaster 0.619
## 386 B1_EE3_BecomeSkillful ~~ B1_BehIntUse 0.617
## 267 B1_PE5_PosPR ~~ B1_SI3_Superiors 0.614
## 283 B1_PE6_EasierWrite ~~ B1_EE6_TooLongToLearn 0.605
## 269 B1_PE5_PosPR ~~ B1_SI5_Field 0.575
## 260 B1_PE5_PosPR ~~ B1_EE2_ClearUnderstandable 0.569
## 176 B1_PE1_Useful ~~ B1_EE4_TooMuchTime 0.565
## 233 B1_PE3_IncProductivity ~~ B1_BehIntUse 0.558
## 306 B1_PE7_ImproveQuality ~~ B1_SI5_Field 0.550
## 368 B1_EE2_ClearUnderstandable ~~ B1_SI5_Field 0.540
## 339 B1_PE9_IncQualSameEffort ~~ B1_SI5_Field 0.531
## 401 B1_EE5_TooComplicated ~~ B1_SI2_ResClimate 0.511
## 302 B1_PE7_ImproveQuality ~~ B1_SI1_Peers 0.493
## 221 B1_PE3_IncProductivity ~~ B1_EE4_TooMuchTime 0.492
## 403 B1_EE5_TooComplicated ~~ B1_SI4_Journals 0.483
## 272 B1_PE5_PosPR ~~ B1_FC3_EasyToUse 0.480
## 207 B1_PE2_WriteFaster ~~ B1_FC1_Knowledge 0.475
## 209 B1_PE2_WriteFaster ~~ B1_FC3_EasyToUse 0.473
## 303 B1_PE7_ImproveQuality ~~ B1_SI2_ResClimate 0.447
## 126 SI =~ B1_PE1_Useful 0.447
## 202 B1_PE2_WriteFaster ~~ B1_SI1_Peers 0.445
## 286 B1_PE6_EasierWrite ~~ B1_SI3_Superiors 0.436
## 172 B1_PE1_Useful ~~ B1_PE9_IncQualSameEffort 0.428
## 298 B1_PE7_ImproveQuality ~~ B1_EE3_BecomeSkillful 0.427
## 121 EE =~ B1_SI5_Field 0.421
## 460 B1_FC2_WorkflowCompatibility ~~ B1_FC4_FitsWellWithWork 0.399
## 299 B1_PE7_ImproveQuality ~~ B1_EE4_TooMuchTime 0.398
## 125 EE =~ B1_FC4_FitsWellWithWork 0.393
## 277 B1_PE6_EasierWrite ~~ B1_PE9_IncQualSameEffort 0.389
## 249 B1_PE4_IncPubChances ~~ B1_SI5_Field 0.388
## 150 FC =~ B1_PE6_EasierWrite 0.380
## 224 B1_PE3_IncProductivity ~~ B1_SI1_Peers 0.368
## 377 B1_EE3_BecomeSkillful ~~ B1_SI1_Peers 0.349
## 402 B1_EE5_TooComplicated ~~ B1_SI3_Superiors 0.343
## 282 B1_PE6_EasierWrite ~~ B1_EE5_TooComplicated 0.343
## 416 B1_EE6_TooLongToLearn ~~ B1_FC2_WorkflowCompatibility 0.342
## 187 B1_PE1_Useful ~~ B1_FC4_FitsWellWithWork 0.327
## 251 B1_PE4_IncPubChances ~~ B1_FC2_WorkflowCompatibility 0.325
## 114 EE =~ B1_PE7_ImproveQuality 0.324
## 94 PE =~ B1_EE2_ClearUnderstandable 0.298
## 370 B1_EE2_ClearUnderstandable ~~ B1_FC2_WorkflowCompatibility 0.293
## 396 B1_EE4_TooMuchTime ~~ B1_FC3_EasyToUse 0.284
## 178 B1_PE1_Useful ~~ B1_EE6_TooLongToLearn 0.279
## 230 B1_PE3_IncProductivity ~~ B1_FC2_WorkflowCompatibility 0.273
## 242 B1_PE4_IncPubChances ~~ B1_EE4_TooMuchTime 0.264
## 447 B1_SI4_Journals ~~ B1_FC3_EasyToUse 0.250
## 364 B1_EE2_ClearUnderstandable ~~ B1_SI1_Peers 0.243
## 253 B1_PE4_IncPubChances ~~ B1_FC4_FitsWellWithWork 0.241
## 337 B1_PE9_IncQualSameEffort ~~ B1_SI3_Superiors 0.239
## 220 B1_PE3_IncProductivity ~~ B1_EE3_BecomeSkillful 0.232
## 116 EE =~ B1_PE9_IncQualSameEffort 0.227
## 441 B1_SI3_Superiors ~~ B1_FC3_EasyToUse 0.209
## 355 B1_EE1_EasyToUse ~~ B1_FC1_Knowledge 0.196
## 318 B1_PE8_MoreEfficient ~~ B1_EE6_TooLongToLearn 0.193
## 436 B1_SI2_ResClimate ~~ B1_BehIntUse 0.187
## 450 B1_SI5_Field ~~ B1_FC1_Knowledge 0.184
## 335 B1_PE9_IncQualSameEffort ~~ B1_SI1_Peers 0.182
## 195 B1_PE2_WriteFaster ~~ B1_PE9_IncQualSameEffort 0.169
## 451 B1_SI5_Field ~~ B1_FC2_WorkflowCompatibility 0.168
## 113 EE =~ B1_PE6_EasierWrite 0.162
## 426 B1_SI1_Peers ~~ B1_FC3_EasyToUse 0.156
## 352 B1_EE1_EasyToUse ~~ B1_SI3_Superiors 0.152
## 281 B1_PE6_EasierWrite ~~ B1_EE4_TooMuchTime 0.144
## 271 B1_PE5_PosPR ~~ B1_FC2_WorkflowCompatibility 0.142
## 290 B1_PE6_EasierWrite ~~ B1_FC2_WorkflowCompatibility 0.130
## 382 B1_EE3_BecomeSkillful ~~ B1_FC1_Knowledge 0.124
## 432 B1_SI2_ResClimate ~~ B1_FC1_Knowledge 0.122
## 211 B1_PE2_WriteFaster ~~ B1_BehIntUse 0.121
## 184 B1_PE1_Useful ~~ B1_FC1_Knowledge 0.116
## 188 B1_PE1_Useful ~~ B1_BehIntUse 0.116
## 438 B1_SI3_Superiors ~~ B1_SI5_Field 0.115
## 346 B1_EE1_EasyToUse ~~ B1_EE3_BecomeSkillful 0.113
## 204 B1_PE2_WriteFaster ~~ B1_SI3_Superiors 0.111
## 248 B1_PE4_IncPubChances ~~ B1_SI4_Journals 0.105
## 279 B1_PE6_EasierWrite ~~ B1_EE2_ClearUnderstandable 0.104
## 278 B1_PE6_EasierWrite ~~ B1_EE1_EasyToUse 0.103
## 295 B1_PE7_ImproveQuality ~~ B1_PE9_IncQualSameEffort 0.103
## 157 FC =~ B1_EE4_TooMuchTime 0.102
## 366 B1_EE2_ClearUnderstandable ~~ B1_SI3_Superiors 0.097
## 291 B1_PE6_EasierWrite ~~ B1_FC3_EasyToUse 0.097
## 285 B1_PE6_EasierWrite ~~ B1_SI2_ResClimate 0.096
## 300 B1_PE7_ImproveQuality ~~ B1_EE5_TooComplicated 0.092
## 231 B1_PE3_IncProductivity ~~ B1_FC3_EasyToUse 0.085
## 380 B1_EE3_BecomeSkillful ~~ B1_SI4_Journals 0.085
## 334 B1_PE9_IncQualSameEffort ~~ B1_EE6_TooLongToLearn 0.084
## 420 B1_SI1_Peers ~~ B1_SI2_ResClimate 0.083
## 263 B1_PE5_PosPR ~~ B1_EE5_TooComplicated 0.080
## 407 B1_EE5_TooComplicated ~~ B1_FC3_EasyToUse 0.071
## 393 B1_EE4_TooMuchTime ~~ B1_SI5_Field 0.069
## 164 FC =~ B1_SI5_Field 0.063
## 186 B1_PE1_Useful ~~ B1_FC3_EasyToUse 0.060
## 197 B1_PE2_WriteFaster ~~ B1_EE2_ClearUnderstandable 0.059
## 332 B1_PE9_IncQualSameEffort ~~ B1_EE4_TooMuchTime 0.058
## 194 B1_PE2_WriteFaster ~~ B1_PE8_MoreEfficient 0.055
## 385 B1_EE3_BecomeSkillful ~~ B1_FC4_FitsWellWithWork 0.050
## 425 B1_SI1_Peers ~~ B1_FC2_WorkflowCompatibility 0.046
## 463 B1_FC3_EasyToUse ~~ B1_BehIntUse 0.045
## 328 B1_PE8_MoreEfficient ~~ B1_BehIntUse 0.044
## 124 EE =~ B1_FC3_EasyToUse 0.041
## 359 B1_EE1_EasyToUse ~~ B1_BehIntUse 0.037
## 371 B1_EE2_ClearUnderstandable ~~ B1_FC3_EasyToUse 0.035
## 151 FC =~ B1_PE7_ImproveQuality 0.035
## 446 B1_SI4_Journals ~~ B1_FC2_WorkflowCompatibility 0.035
## 273 B1_PE5_PosPR ~~ B1_FC4_FitsWellWithWork 0.035
## 103 PE =~ B1_SI5_Field 0.030
## 340 B1_PE9_IncQualSameEffort ~~ B1_FC1_Knowledge 0.029
## 314 B1_PE8_MoreEfficient ~~ B1_EE2_ClearUnderstandable 0.028
## 264 B1_PE5_PosPR ~~ B1_EE6_TooLongToLearn 0.026
## 383 B1_EE3_BecomeSkillful ~~ B1_FC2_WorkflowCompatibility 0.021
## 232 B1_PE3_IncProductivity ~~ B1_FC4_FitsWellWithWork 0.021
## 424 B1_SI1_Peers ~~ B1_FC1_Knowledge 0.018
## 247 B1_PE4_IncPubChances ~~ B1_SI3_Superiors 0.017
## 219 B1_PE3_IncProductivity ~~ B1_EE2_ClearUnderstandable 0.017
## 228 B1_PE3_IncProductivity ~~ B1_SI5_Field 0.015
## 137 SI =~ B1_EE3_BecomeSkillful 0.014
## 155 FC =~ B1_EE2_ClearUnderstandable 0.013
## 354 B1_EE1_EasyToUse ~~ B1_SI5_Field 0.011
## 320 B1_PE8_MoreEfficient ~~ B1_SI2_ResClimate 0.011
## 226 B1_PE3_IncProductivity ~~ B1_SI3_Superiors 0.011
## 391 B1_EE4_TooMuchTime ~~ B1_SI3_Superiors 0.010
## 210 B1_PE2_WriteFaster ~~ B1_FC4_FitsWellWithWork 0.010
## 138 SI =~ B1_EE4_TooMuchTime 0.009
## 284 B1_PE6_EasierWrite ~~ B1_SI1_Peers 0.009
## 313 B1_PE8_MoreEfficient ~~ B1_EE1_EasyToUse 0.008
## 445 B1_SI4_Journals ~~ B1_FC1_Knowledge 0.008
## 153 FC =~ B1_PE9_IncQualSameEffort 0.007
## 171 B1_PE1_Useful ~~ B1_PE8_MoreEfficient 0.007
## 123 EE =~ B1_FC2_WorkflowCompatibility 0.006
## 321 B1_PE8_MoreEfficient ~~ B1_SI3_Superiors 0.006
## 206 B1_PE2_WriteFaster ~~ B1_SI5_Field 0.005
## 96 PE =~ B1_EE4_TooMuchTime 0.005
## 174 B1_PE1_Useful ~~ B1_EE2_ClearUnderstandable 0.005
## 331 B1_PE9_IncQualSameEffort ~~ B1_EE3_BecomeSkillful 0.005
## 179 B1_PE1_Useful ~~ B1_SI1_Peers 0.005
## 225 B1_PE3_IncProductivity ~~ B1_SI2_ResClimate 0.005
## 367 B1_EE2_ClearUnderstandable ~~ B1_SI4_Journals 0.004
## 323 B1_PE8_MoreEfficient ~~ B1_SI5_Field 0.004
## 435 B1_SI2_ResClimate ~~ B1_FC4_FitsWellWithWork 0.004
## 433 B1_SI2_ResClimate ~~ B1_FC2_WorkflowCompatibility 0.003
## 310 B1_PE7_ImproveQuality ~~ B1_FC4_FitsWellWithWork 0.002
## 389 B1_EE4_TooMuchTime ~~ B1_SI1_Peers 0.001
## 141 SI =~ B1_FC1_Knowledge 0.000
## 109 EE =~ B1_PE2_WriteFaster 0.000
## 343 B1_PE9_IncQualSameEffort ~~ B1_FC4_FitsWellWithWork 0.000
## 301 B1_PE7_ImproveQuality ~~ B1_EE6_TooLongToLearn 0.000
## 293 B1_PE6_EasierWrite ~~ B1_BehIntUse 0.000
## epc sepc.lv sepc.all sepc.nox
## 399 0.634 0.634 0.882 0.882
## 234 0.369 0.369 0.772 0.772
## 387 0.420 0.420 0.496 0.496
## 189 0.238 0.238 0.531 0.531
## 388 0.412 0.412 0.446 0.446
## 215 -0.198 -0.198 -0.440 -0.440
## 163 0.365 0.365 0.347 0.347
## 345 0.189 0.189 0.495 0.495
## 348 -0.227 -0.227 -0.431 -0.431
## 455 0.387 0.387 0.381 0.381
## 107 0.298 0.298 0.250 0.250
## 421 0.343 0.343 0.899 0.899
## 120 0.324 0.324 0.308 0.308
## 256 0.176 0.176 0.356 0.356
## 457 -0.276 -0.276 -0.384 -0.384
## 361 -0.215 -0.215 -0.350 -0.350
## 161 0.363 0.363 0.282 0.282
## 193 -0.159 -0.159 -0.336 -0.336
## 118 0.354 0.354 0.275 0.275
## 97 -0.312 -0.312 -0.266 -0.266
## 196 0.145 0.145 0.324 0.324
## 191 -0.151 -0.151 -0.307 -0.307
## 135 0.236 0.236 0.220 0.220
## 349 -0.178 -0.178 -0.309 -0.309
## 139 -0.271 -0.271 -0.230 -0.230
## 108 0.292 0.292 0.233 0.233
## 93 0.235 0.235 0.220 0.220
## 458 -0.289 -0.289 -0.268 -0.268
## 236 0.129 0.129 0.279 0.279
## 98 -0.289 -0.289 -0.240 -0.240
## 145 0.267 0.267 0.213 0.213
## 454 0.231 0.231 0.252 0.252
## 363 -0.149 -0.149 -0.287 -0.287
## 140 -0.252 -0.252 -0.209 -0.209
## 464 0.150 0.150 0.291 0.291
## 104 -0.351 -0.351 -0.227 -0.227
## 102 0.274 0.274 0.260 0.260
## 160 -0.200 -0.200 -0.170 -0.170
## 214 0.096 0.096 0.273 0.273
## 255 -0.092 -0.092 -0.240 -0.240
## 422 -0.140 -0.140 -0.281 -0.281
## 192 0.093 0.093 0.251 0.251
## 182 0.146 0.146 0.215 0.215
## 259 -0.104 -0.104 -0.225 -0.225
## 227 -0.112 -0.112 -0.215 -0.215
## 170 0.123 0.123 0.210 0.210
## 258 -0.101 -0.101 -0.214 -0.214
## 404 -0.173 -0.173 -0.205 -0.205
## 169 -0.100 -0.100 -0.220 -0.220
## 241 0.093 0.093 0.212 0.212
## 235 -0.080 -0.080 -0.223 -0.223
## 347 -0.142 -0.142 -0.210 -0.210
## 418 -0.114 -0.114 -0.219 -0.219
## 190 -0.096 -0.096 -0.209 -0.209
## 379 -0.101 -0.101 -0.250 -0.250
## 319 -0.093 -0.093 -0.223 -0.223
## 117 -0.163 -0.163 -0.138 -0.138
## 289 -0.133 -0.133 -0.201 -0.201
## 237 -0.090 -0.090 -0.200 -0.200
## 152 0.157 0.157 0.126 0.126
## 115 0.157 0.157 0.126 0.126
## 415 0.195 0.195 0.180 0.180
## 143 -0.135 -0.135 -0.117 -0.117
## 296 -0.086 -0.086 -0.191 -0.191
## 452 -0.104 -0.104 -0.209 -0.209
## 162 -0.166 -0.166 -0.126 -0.126
## 325 -0.103 -0.103 -0.185 -0.185
## 132 0.180 0.180 0.149 0.149
## 292 0.065 0.065 0.204 0.204
## 308 0.104 0.104 0.180 0.180
## 119 -0.163 -0.163 -0.123 -0.123
## 130 0.181 0.181 0.161 0.161
## 159 -0.446 -0.446 -0.370 -0.370
## 442 -0.082 -0.082 -0.228 -0.228
## 439 0.153 0.153 0.204 0.204
## 395 -0.145 -0.145 -0.168 -0.168
## 106 -0.129 -0.129 -0.111 -0.111
## 147 -0.132 -0.132 -0.105 -0.105
## 218 0.074 0.074 0.175 0.175
## 448 0.083 0.083 0.176 0.176
## 238 -0.074 -0.074 -0.166 -0.166
## 213 -0.077 -0.077 -0.166 -0.166
## 326 0.062 0.062 0.194 0.194
## 131 -0.131 -0.131 -0.109 -0.109
## 375 -0.091 -0.091 -0.171 -0.171
## 329 0.070 0.070 0.164 0.164
## 185 0.106 0.106 0.151 0.151
## 112 -0.131 -0.131 -0.117 -0.117
## 362 -0.083 -0.083 -0.175 -0.175
## 307 0.125 0.125 0.148 0.148
## 133 -0.148 -0.148 -0.118 -0.118
## 110 -0.122 -0.122 -0.097 -0.097
## 304 0.076 0.076 0.180 0.180
## 330 -0.062 -0.062 -0.160 -0.160
## 398 0.131 0.131 0.142 0.142
## 208 -0.085 -0.085 -0.149 -0.149
## 177 0.098 0.098 0.143 0.143
## 440 0.090 0.090 0.176 0.176
## 316 0.099 0.099 0.141 0.141
## 212 -0.064 -0.064 -0.148 -0.148
## 222 -0.076 -0.076 -0.145 -0.145
## 374 -0.100 -0.100 -0.146 -0.146
## 429 -0.123 -0.123 -0.199 -0.199
## 144 0.109 0.109 0.092 0.092
## 280 -0.054 -0.054 -0.153 -0.153
## 384 0.055 0.055 0.175 0.175
## 173 -0.077 -0.077 -0.140 -0.140
## 149 -0.116 -0.116 -0.103 -0.103
## 175 0.077 0.077 0.138 0.138
## 453 0.088 0.088 0.143 0.143
## 266 0.095 0.095 0.132 0.132
## 95 0.114 0.114 0.105 0.105
## 412 0.088 0.088 0.161 0.161
## 397 0.087 0.087 0.142 0.142
## 200 -0.076 -0.076 -0.137 -0.137
## 167 0.074 0.074 0.131 0.131
## 165 -0.078 -0.078 -0.134 -0.134
## 101 -0.164 -0.164 -0.124 -0.124
## 261 0.063 0.063 0.135 0.135
## 410 -0.079 -0.079 -0.144 -0.144
## 369 0.098 0.098 0.136 0.136
## 317 0.070 0.070 0.128 0.128
## 239 -0.056 -0.056 -0.129 -0.129
## 373 -0.072 -0.072 -0.140 -0.140
## 315 -0.057 -0.057 -0.129 -0.129
## 148 -0.097 -0.097 -0.088 -0.088
## 394 -0.148 -0.148 -0.116 -0.116
## 122 0.416 0.416 0.270 0.270
## 353 0.065 0.065 0.124 0.124
## 129 0.114 0.114 0.103 0.103
## 276 0.047 0.047 0.131 0.131
## 203 -0.081 -0.081 -0.116 -0.116
## 461 -0.086 -0.086 -0.118 -0.118
## 128 -0.111 -0.111 -0.088 -0.088
## 154 0.238 0.238 0.222 0.222
## 240 0.047 0.047 0.119 0.119
## 183 -0.095 -0.095 -0.108 -0.108
## 462 0.064 0.064 0.228 0.228
## 257 -0.055 -0.055 -0.114 -0.114
## 100 0.156 0.156 0.121 0.121
## 294 0.053 0.053 0.114 0.114
## 333 -0.060 -0.060 -0.112 -0.112
## 181 -0.067 -0.067 -0.129 -0.129
## 351 -0.072 -0.072 -0.110 -0.110
## 223 -0.063 -0.063 -0.109 -0.109
## 376 -0.067 -0.067 -0.115 -0.115
## 365 0.067 0.067 0.113 0.113
## 136 0.080 0.080 0.074 0.074
## 356 0.059 0.059 0.110 0.110
## 243 -0.056 -0.056 -0.103 -0.103
## 444 0.083 0.083 0.100 0.100
## 437 -0.072 -0.072 -0.146 -0.146
## 252 -0.037 -0.037 -0.117 -0.117
## 156 0.210 0.210 0.193 0.193
## 168 0.059 0.059 0.097 0.097
## 428 -0.061 -0.061 -0.112 -0.112
## 405 0.094 0.094 0.094 0.094
## 265 0.047 0.047 0.105 0.105
## 327 0.041 0.041 0.104 0.104
## 459 -0.054 -0.054 -0.137 -0.137
## 201 -0.058 -0.058 -0.096 -0.096
## 419 0.072 0.072 0.093 0.093
## 443 -0.065 -0.065 -0.120 -0.120
## 205 -0.052 -0.052 -0.094 -0.094
## 431 -0.095 -0.095 -0.091 -0.091
## 312 0.044 0.044 0.098 0.098
## 305 0.051 0.051 0.092 0.092
## 111 -0.075 -0.075 -0.068 -0.068
## 430 0.075 0.075 0.092 0.092
## 229 -0.072 -0.072 -0.090 -0.090
## 449 0.063 0.063 0.089 0.089
## 180 0.075 0.075 0.087 0.087
## 350 0.042 0.042 0.103 0.103
## 262 -0.064 -0.064 -0.085 -0.085
## 198 0.042 0.042 0.093 0.093
## 456 0.064 0.064 0.110 0.110
## 427 -0.039 -0.039 -0.106 -0.106
## 341 -0.049 -0.049 -0.089 -0.089
## 216 -0.041 -0.041 -0.093 -0.093
## 342 0.033 0.033 0.104 0.104
## 254 -0.050 -0.050 -0.085 -0.085
## 360 0.041 0.041 0.107 0.107
## 99 -0.095 -0.095 -0.080 -0.080
## 378 0.058 0.058 0.088 0.088
## 158 -0.207 -0.207 -0.175 -0.175
## 287 -0.038 -0.038 -0.089 -0.089
## 434 0.048 0.048 0.100 0.100
## 392 -0.068 -0.068 -0.082 -0.082
## 324 -0.068 -0.068 -0.083 -0.083
## 244 -0.049 -0.049 -0.083 -0.083
## 311 -0.050 -0.050 -0.082 -0.082
## 199 -0.058 -0.058 -0.081 -0.081
## 134 0.079 0.079 0.064 0.064
## 381 0.056 0.056 0.082 0.082
## 409 0.058 0.058 0.081 0.081
## 268 0.045 0.045 0.078 0.078
## 338 0.042 0.042 0.079 0.079
## 105 -0.079 -0.079 -0.061 -0.061
## 166 -0.043 -0.043 -0.079 -0.079
## 344 0.045 0.045 0.078 0.078
## 142 0.075 0.075 0.058 0.058
## 217 0.035 0.035 0.080 0.080
## 400 -0.042 -0.042 -0.084 -0.084
## 146 -0.063 -0.063 -0.047 -0.047
## 336 -0.050 -0.050 -0.075 -0.075
## 406 -0.051 -0.051 -0.076 -0.076
## 414 -0.066 -0.066 -0.072 -0.072
## 322 0.040 0.040 0.074 0.074
## 417 -0.037 -0.037 -0.087 -0.087
## 408 -0.038 -0.038 -0.080 -0.080
## 411 -0.063 -0.063 -0.071 -0.071
## 357 -0.028 -0.028 -0.091 -0.091
## 413 -0.050 -0.050 -0.070 -0.070
## 358 0.031 0.031 0.081 0.081
## 275 -0.028 -0.028 -0.076 -0.076
## 288 -0.039 -0.039 -0.070 -0.070
## 423 -0.052 -0.052 -0.080 -0.080
## 274 -0.042 -0.042 -0.067 -0.067
## 246 0.045 0.045 0.067 0.067
## 245 0.031 0.031 0.075 0.075
## 372 -0.028 -0.028 -0.080 -0.080
## 297 0.029 0.029 0.072 0.072
## 390 0.065 0.065 0.062 0.062
## 270 0.053 0.053 0.061 0.061
## 250 0.050 0.050 0.061 0.061
## 309 -0.024 -0.024 -0.074 -0.074
## 127 -0.063 -0.063 -0.047 -0.047
## 386 -0.038 -0.038 -0.065 -0.065
## 267 -0.032 -0.032 -0.073 -0.073
## 283 0.030 0.030 0.064 0.064
## 269 0.043 0.043 0.057 0.057
## 260 0.026 0.026 0.062 0.062
## 176 0.050 0.050 0.056 0.056
## 233 0.034 0.034 0.059 0.059
## 306 0.041 0.041 0.057 0.057
## 368 0.037 0.037 0.060 0.060
## 339 -0.039 -0.039 -0.056 -0.056
## 401 0.046 0.046 0.056 0.056
## 302 -0.026 -0.026 -0.061 -0.061
## 221 -0.037 -0.037 -0.054 -0.054
## 403 -0.035 -0.035 -0.054 -0.054
## 272 -0.022 -0.022 -0.064 -0.064
## 207 -0.045 -0.045 -0.054 -0.054
## 209 -0.021 -0.021 -0.065 -0.065
## 303 -0.036 -0.036 -0.052 -0.052
## 126 0.063 0.063 0.050 0.050
## 202 0.025 0.025 0.059 0.059
## 286 -0.022 -0.022 -0.066 -0.066
## 172 -0.029 -0.029 -0.052 -0.052
## 298 -0.024 -0.024 -0.053 -0.053
## 121 -0.058 -0.058 -0.047 -0.047
## 460 -0.030 -0.030 -0.061 -0.061
## 299 -0.035 -0.035 -0.048 -0.048
## 125 -0.108 -0.108 -0.091 -0.091
## 277 0.020 0.020 0.055 0.055
## 249 0.033 0.033 0.047 0.047
## 150 0.033 0.033 0.027 0.027
## 224 0.022 0.022 0.054 0.054
## 377 0.022 0.022 0.054 0.054
## 402 0.028 0.028 0.056 0.056
## 282 0.021 0.021 0.048 0.048
## 416 0.034 0.034 0.046 0.046
## 187 -0.024 -0.024 -0.048 -0.048
## 251 0.025 0.025 0.045 0.045
## 114 -0.038 -0.038 -0.031 -0.031
## 94 0.034 0.034 0.032 0.032
## 370 0.023 0.023 0.046 0.046
## 396 -0.024 -0.024 -0.049 -0.049
## 178 0.030 0.030 0.040 0.040
## 230 -0.023 -0.023 -0.042 -0.042
## 242 -0.027 -0.027 -0.039 -0.039
## 447 0.018 0.018 0.046 0.046
## 364 0.017 0.017 0.046 0.046
## 253 -0.016 -0.016 -0.041 -0.041
## 337 0.019 0.019 0.047 0.047
## 220 0.017 0.017 0.040 0.040
## 116 -0.031 -0.031 -0.025 -0.025
## 441 -0.015 -0.015 -0.052 -0.052
## 355 -0.028 -0.028 -0.035 -0.035
## 318 0.021 0.021 0.035 0.035
## 436 0.030 0.030 0.033 0.033
## 450 -0.041 -0.041 -0.032 -0.032
## 335 0.016 0.016 0.038 0.038
## 195 0.016 0.016 0.034 0.034
## 451 0.027 0.027 0.032 0.032
## 113 0.022 0.022 0.018 0.018
## 426 -0.012 -0.012 -0.041 -0.041
## 352 0.015 0.015 0.038 0.038
## 281 0.017 0.017 0.030 0.030
## 271 0.018 0.018 0.030 0.030
## 290 0.013 0.013 0.030 0.030
## 382 -0.023 -0.023 -0.028 -0.028
## 432 0.033 0.033 0.026 0.026
## 211 0.017 0.017 0.028 0.028
## 184 0.027 0.027 0.026 0.026
## 188 0.019 0.019 0.026 0.026
## 438 0.022 0.022 0.035 0.035
## 346 0.013 0.013 0.031 0.031
## 204 0.014 0.014 0.032 0.032
## 248 0.013 0.013 0.025 0.025
## 279 -0.009 -0.009 -0.028 -0.028
## 278 0.010 0.010 0.027 0.027
## 295 0.012 0.012 0.026 0.026
## 157 -0.072 -0.072 -0.058 -0.058
## 366 -0.011 -0.011 -0.032 -0.032
## 291 -0.008 -0.008 -0.030 -0.030
## 285 -0.014 -0.014 -0.025 -0.025
## 300 0.013 0.013 0.024 0.024
## 231 -0.009 -0.009 -0.028 -0.028
## 380 0.012 0.012 0.023 0.023
## 334 -0.013 -0.013 -0.023 -0.023
## 420 0.018 0.018 0.028 0.028
## 263 -0.013 -0.013 -0.022 -0.022
## 407 0.010 0.010 0.025 0.025
## 393 -0.021 -0.021 -0.020 -0.020
## 164 -0.023 -0.023 -0.018 -0.018
## 186 -0.009 -0.009 -0.022 -0.022
## 197 0.008 0.008 0.021 0.021
## 332 0.013 0.013 0.019 0.019
## 194 0.009 0.009 0.020 0.020
## 385 -0.008 -0.008 -0.020 -0.020
## 425 -0.010 -0.010 -0.019 -0.019
## 463 -0.009 -0.009 -0.023 -0.023
## 328 0.010 0.010 0.017 0.017
## 124 -0.034 -0.034 -0.030 -0.030
## 359 -0.009 -0.009 -0.016 -0.016
## 371 0.005 0.005 0.019 0.019
## 151 0.012 0.012 0.010 0.010
## 446 -0.010 -0.010 -0.015 -0.015
## 273 -0.007 -0.007 -0.016 -0.016
## 103 -0.020 -0.020 -0.016 -0.016
## 340 0.011 0.011 0.013 0.013
## 314 -0.006 -0.006 -0.014 -0.014
## 264 -0.008 -0.008 -0.012 -0.012
## 383 -0.007 -0.007 -0.012 -0.012
## 232 -0.005 -0.005 -0.013 -0.013
## 424 0.009 0.009 0.011 0.011
## 247 -0.005 -0.005 -0.012 -0.012
## 219 -0.004 -0.004 -0.011 -0.011
## 228 -0.006 -0.006 -0.010 -0.010
## 137 0.008 0.008 0.007 0.007
## 155 0.019 0.019 0.017 0.017
## 354 0.006 0.006 0.008 0.008
## 320 0.006 0.006 0.008 0.008
## 226 -0.004 -0.004 -0.010 -0.010
## 391 0.006 0.006 0.009 0.009
## 210 0.003 0.003 0.009 0.009
## 138 0.009 0.009 0.007 0.007
## 284 0.003 0.003 0.009 0.009
## 313 -0.003 -0.003 -0.008 -0.008
## 445 0.007 0.007 0.007 0.007
## 153 0.005 0.005 0.004 0.004
## 171 -0.004 -0.004 -0.007 -0.007
## 123 -0.016 -0.016 -0.012 -0.012
## 321 -0.003 -0.003 -0.007 -0.007
## 206 -0.004 -0.004 -0.006 -0.006
## 96 0.007 0.007 0.006 0.006
## 174 0.003 0.003 0.006 0.006
## 331 -0.002 -0.002 -0.006 -0.006
## 179 0.003 0.003 0.006 0.006
## 225 0.004 0.004 0.005 0.005
## 367 0.003 0.003 0.006 0.006
## 323 0.004 0.004 0.005 0.005
## 435 0.003 0.003 0.005 0.005
## 433 0.003 0.003 0.004 0.004
## 310 0.002 0.002 0.004 0.004
## 389 0.002 0.002 0.003 0.003
## 141 -0.002 -0.002 -0.001 -0.001
## 109 0.001 0.001 0.001 0.001
## 343 -0.001 -0.001 -0.002 -0.002
## 301 0.001 0.001 0.001 0.001
## 293 0.001 0.001 0.001 0.001#look at the variances above 1 to see if anything is particularly off.
var(B1likert$B1_EE4_TooMuchTime)## [1] 1.542268var(B1likert$B1_SI2_ResClimate)## [1] 1.667724var(B1likert$B1_SI5_Field)## [1] 1.517209var(B1likert$B1_FC1_Knowledge) #this variance is quite large## [1] 2.395295B1modelfc3 <- #basic model
'PE =~ B1_PE1_Useful + B1_PE2_WriteFaster + B1_PE3_IncProductivity + B1_PE4_IncPubChances + B1_PE5_PosPR + B1_PE6_EasierWrite + B1_PE7_ImproveQuality + B1_PE8_MoreEfficient + B1_PE9_IncQualSameEffort
EE=~ B1_EE1_EasyToUse + B1_EE2_ClearUnderstandable + B1_EE3_BecomeSkillful + B1_EE4_TooMuchTime + B1_EE5_TooComplicated + B1_EE6_TooLongToLearn
SI=~ B1_SI1_Peers + B1_SI2_ResClimate + B1_SI3_Superiors + B1_SI4_Journals + B1_SI5_Field
FC=~ B1_FC1_Knowledge + B1_FC2_WorkflowCompatibility + B1_FC4_FitsWellWithWork
B1_BehIntUse ~ PE + EE + SI + FC
'
#fit the model
fitB1fc3 <- cfa(model = B1modelfc3, data = B1likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB1fc3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 35 iterations
##
## Optimization method NLMINB
## Number of free parameters 81
##
## Number of observations 195
##
## Estimator ML Robust
## Model Fit Test Statistic 904.223 752.951
## Degrees of freedom 243 243
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.201
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3941.031 2783.772
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.820 0.797
## Tucker-Lewis Index (TLI) 0.795 0.769
##
## Robust Comparative Fit Index (CFI) 0.828
## Robust Tucker-Lewis Index (TLI) 0.804
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -6037.659 -6037.659
## Loglikelihood unrestricted model (H1) -5585.547 -5585.547
##
## Number of free parameters 81 81
## Akaike (AIC) 12237.318 12237.318
## Bayesian (BIC) 12502.431 12502.431
## Sample-size adjusted Bayesian (BIC) 12245.835 12245.835
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.118 0.104
## 90 Percent Confidence Interval 0.110 0.126 0.096 0.111
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.114
## 90 Percent Confidence Interval 0.105 0.123
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.088 0.088
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B1_PE1_Useful 0.922 0.092 10.014 0.000 0.922 0.736
## B1_PE2_WrtFstr 1.136 0.078 14.642 0.000 1.136 0.856
## B1_PE3_IncPrdc 1.078 0.073 14.833 0.000 1.078 0.856
## B1_PE4_IncPbCh 0.882 0.078 11.345 0.000 0.882 0.797
## B1_PE5_PosPR 0.871 0.086 10.131 0.000 0.871 0.773
## B1_PE6_EasrWrt 1.079 0.072 14.976 0.000 1.079 0.895
## B1_PE7_ImprvQl 0.989 0.082 12.006 0.000 0.989 0.819
## B1_PE8_MrEffcn 1.057 0.081 12.990 0.000 1.057 0.845
## B1_PE9_IncQlSE 1.044 0.082 12.757 0.000 1.044 0.844
## EE =~
## B1_EE1_EasyTUs 0.850 0.070 12.114 0.000 0.850 0.794
## B1_EE2_ClrUndr 0.897 0.065 13.869 0.000 0.897 0.835
## B1_EE3_BcmSkll 0.859 0.070 12.354 0.000 0.859 0.789
## B1_EE4_ToMchTm 0.673 0.094 7.154 0.000 0.673 0.543
## B1_EE5_TCmplct 0.859 0.073 11.784 0.000 0.859 0.729
## B1_EE6_TLngTLr 0.826 0.078 10.540 0.000 0.826 0.686
## SI =~
## B1_SI1_Peers 1.000 0.075 13.294 0.000 1.000 0.848
## B1_SI2_ResClmt 0.800 0.095 8.384 0.000 0.800 0.621
## B1_SI3_Superrs 1.174 0.072 16.349 0.000 1.174 0.886
## B1_SI4_Journls 0.684 0.081 8.474 0.000 0.684 0.650
## B1_SI5_Field 0.654 0.092 7.139 0.000 0.654 0.532
## FC =~
## B1_FC1_Knowldg 0.929 0.100 9.253 0.000 0.929 0.602
## B1_FC2_WrkflwC 1.014 0.083 12.272 0.000 1.014 0.781
## B1_FC4_FtsWlWW 1.016 0.073 13.912 0.000 1.016 0.853
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1_BehIntUse ~
## PE 0.489 0.106 4.602 0.000 0.489 0.359
## EE -0.142 0.287 -0.495 0.621 -0.142 -0.104
## SI 0.124 0.100 1.244 0.213 0.124 0.091
## FC 0.724 0.300 2.410 0.016 0.724 0.531
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EE 0.533 0.069 7.687 0.000 0.533 0.533
## SI 0.664 0.053 12.536 0.000 0.664 0.664
## FC 0.550 0.066 8.327 0.000 0.550 0.550
## EE ~~
## SI 0.398 0.076 5.213 0.000 0.398 0.398
## FC 0.891 0.034 26.200 0.000 0.891 0.891
## SI ~~
## FC 0.476 0.067 7.059 0.000 0.476 0.476
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 5.205 0.090 58.043 0.000 5.205 4.157
## .B1_PE2_WrtFstr 4.626 0.095 48.656 0.000 4.626 3.484
## .B1_PE3_IncPrdc 4.374 0.090 48.473 0.000 4.374 3.471
## .B1_PE4_IncPbCh 4.974 0.079 62.761 0.000 4.974 4.494
## .B1_PE5_PosPR 4.887 0.081 60.574 0.000 4.887 4.338
## .B1_PE6_EasrWrt 4.738 0.086 54.862 0.000 4.738 3.929
## .B1_PE7_ImprvQl 5.103 0.086 59.048 0.000 5.103 4.228
## .B1_PE8_MrEffcn 4.815 0.090 53.736 0.000 4.815 3.848
## .B1_PE9_IncQlSE 4.651 0.089 52.516 0.000 4.651 3.761
## .B1_EE1_EasyTUs 4.800 0.077 62.651 0.000 4.800 4.487
## .B1_EE2_ClrUndr 5.185 0.077 67.347 0.000 5.185 4.823
## .B1_EE3_BcmSkll 4.985 0.078 63.959 0.000 4.985 4.580
## .B1_EE4_ToMchTm 4.200 0.089 47.348 0.000 4.200 3.391
## .B1_EE5_TCmplct 4.933 0.084 58.531 0.000 4.933 4.191
## .B1_EE6_TLngTLr 4.708 0.086 54.633 0.000 4.708 3.912
## .B1_SI1_Peers 4.015 0.084 47.568 0.000 4.015 3.406
## .B1_SI2_ResClmt 4.692 0.092 50.870 0.000 4.692 3.643
## .B1_SI3_Superrs 3.867 0.095 40.740 0.000 3.867 2.917
## .B1_SI4_Journls 4.990 0.075 66.207 0.000 4.990 4.741
## .B1_SI5_Field 3.908 0.088 44.415 0.000 3.908 3.181
## .B1_FC1_Knowldg 4.518 0.111 40.869 0.000 4.518 2.927
## .B1_FC2_WrkflwC 4.728 0.093 50.863 0.000 4.728 3.642
## .B1_FC4_FtsWlWW 4.785 0.085 56.063 0.000 4.785 4.015
## .B1_BehIntUse 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 0.718 0.149 4.827 0.000 0.718 0.458
## .B1_PE2_WrtFstr 0.471 0.074 6.399 0.000 0.471 0.267
## .B1_PE3_IncPrdc 0.425 0.053 8.096 0.000 0.425 0.268
## .B1_PE4_IncPbCh 0.446 0.057 7.820 0.000 0.446 0.364
## .B1_PE5_PosPR 0.511 0.065 7.850 0.000 0.511 0.403
## .B1_PE6_EasrWrt 0.289 0.044 6.634 0.000 0.289 0.199
## .B1_PE7_ImprvQl 0.479 0.070 6.836 0.000 0.479 0.329
## .B1_PE8_MrEffcn 0.448 0.080 5.573 0.000 0.448 0.286
## .B1_PE9_IncQlSE 0.440 0.055 7.992 0.000 0.440 0.288
## .B1_EE1_EasyTUs 0.422 0.055 7.617 0.000 0.422 0.369
## .B1_EE2_ClrUndr 0.351 0.051 6.845 0.000 0.351 0.303
## .B1_EE3_BcmSkll 0.446 0.056 8.011 0.000 0.446 0.377
## .B1_EE4_ToMchTm 1.081 0.126 8.597 0.000 1.081 0.705
## .B1_EE5_TCmplct 0.648 0.111 5.842 0.000 0.648 0.468
## .B1_EE6_TLngTLr 0.766 0.107 7.153 0.000 0.766 0.529
## .B1_SI1_Peers 0.390 0.054 7.217 0.000 0.390 0.281
## .B1_SI2_ResClmt 1.019 0.119 8.581 0.000 1.019 0.614
## .B1_SI3_Superrs 0.377 0.071 5.307 0.000 0.377 0.215
## .B1_SI4_Journls 0.639 0.071 8.973 0.000 0.639 0.577
## .B1_SI5_Field 1.082 0.135 8.019 0.000 1.082 0.717
## .B1_FC1_Knowldg 1.520 0.168 9.058 0.000 1.520 0.638
## .B1_FC2_WrkflwC 0.656 0.117 5.625 0.000 0.656 0.389
## .B1_FC4_FtsWlWW 0.388 0.084 4.638 0.000 0.388 0.273
## .B1_BehIntUse 0.772 0.098 7.859 0.000 0.772 0.416
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B1_PE1_Useful 0.542
## B1_PE2_WrtFstr 0.733
## B1_PE3_IncPrdc 0.732
## B1_PE4_IncPbCh 0.636
## B1_PE5_PosPR 0.597
## B1_PE6_EasrWrt 0.801
## B1_PE7_ImprvQl 0.671
## B1_PE8_MrEffcn 0.714
## B1_PE9_IncQlSE 0.712
## B1_EE1_EasyTUs 0.631
## B1_EE2_ClrUndr 0.697
## B1_EE3_BcmSkll 0.623
## B1_EE4_ToMchTm 0.295
## B1_EE5_TCmplct 0.532
## B1_EE6_TLngTLr 0.471
## B1_SI1_Peers 0.719
## B1_SI2_ResClmt 0.386
## B1_SI3_Superrs 0.785
## B1_SI4_Journls 0.423
## B1_SI5_Field 0.283
## B1_FC1_Knowldg 0.362
## B1_FC2_WrkflwC 0.611
## B1_FC4_FtsWlWW 0.727
## B1_BehIntUse 0.584B1modelmodind2 <-
'PE =~ B1_PE1_Useful + B1_PE2_WriteFaster + B1_PE3_IncProductivity + B1_PE4_IncPubChances + B1_PE5_PosPR + B1_PE6_EasierWrite + B1_PE7_ImproveQuality + B1_PE8_MoreEfficient + B1_PE9_IncQualSameEffort
EE=~ B1_EE1_EasyToUse + B1_EE2_ClearUnderstandable + B1_EE3_BecomeSkillful + B1_EE4_TooMuchTime + B1_EE5_TooComplicated + B1_EE6_TooLongToLearn
SI=~ B1_SI1_Peers + B1_SI2_ResClimate + B1_SI3_Superiors + B1_SI4_Journals + B1_SI5_Field
FC=~ B1_FC1_Knowledge + B1_FC2_WorkflowCompatibility + B1_FC3_EasyToUse + B1_FC4_FitsWellWithWork
B1_BehIntUse ~ PE + EE + SI + FC
B1_EE5_TooComplicated ~~ B1_EE6_TooLongToLearn
B1_EE5_TooComplicated ~~ B1_EE4_TooMuchTime
B1_EE4_TooMuchTime ~~ B1_EE6_TooLongToLearn
B1_PE4_IncPubChances ~~ B1_PE5_PosPR
'
#fit the model
fitB1.2 <- cfa(model = B1modelmodind2, data = B1likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB1.2, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 48 iterations
##
## Optimization method NLMINB
## Number of free parameters 88
##
## Number of observations 195
##
## Estimator ML Robust
## Model Fit Test Statistic 606.223 512.663
## Degrees of freedom 262 262
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.182
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 4232.521 2981.536
## Degrees of freedom 300 300
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.912 0.907
## Tucker-Lewis Index (TLI) 0.900 0.893
##
## Robust Comparative Fit Index (CFI) 0.922
## Robust Tucker-Lewis Index (TLI) 0.911
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -6048.185 -6048.185
## Loglikelihood unrestricted model (H1) -5745.073 -5745.073
##
## Number of free parameters 88 88
## Akaike (AIC) 12272.370 12272.370
## Bayesian (BIC) 12560.394 12560.394
## Sample-size adjusted Bayesian (BIC) 12281.624 12281.624
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.082 0.070
## 90 Percent Confidence Interval 0.074 0.091 0.062 0.078
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.076
## 90 Percent Confidence Interval 0.066 0.086
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.077 0.077
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B1_PE1_Useful 0.912 0.094 9.716 0.000 0.912 0.728
## B1_PE2_WrtFstr 1.153 0.078 14.831 0.000 1.153 0.869
## B1_PE3_IncPrdc 1.090 0.073 15.021 0.000 1.090 0.865
## B1_PE4_IncPbCh 0.848 0.079 10.681 0.000 0.848 0.766
## B1_PE5_PosPR 0.830 0.088 9.426 0.000 0.830 0.737
## B1_PE6_EasrWrt 1.089 0.072 15.165 0.000 1.089 0.903
## B1_PE7_ImprvQl 0.969 0.084 11.551 0.000 0.969 0.803
## B1_PE8_MrEffcn 1.062 0.081 13.035 0.000 1.062 0.848
## B1_PE9_IncQlSE 1.051 0.082 12.797 0.000 1.051 0.850
## EE =~
## B1_EE1_EasyTUs 0.892 0.068 13.102 0.000 0.892 0.834
## B1_EE2_ClrUndr 0.931 0.064 14.468 0.000 0.931 0.866
## B1_EE3_BcmSkll 0.872 0.069 12.594 0.000 0.872 0.801
## B1_EE4_ToMchTm 0.549 0.107 5.132 0.000 0.549 0.444
## B1_EE5_TCmplct 0.739 0.087 8.510 0.000 0.739 0.627
## B1_EE6_TLngTLr 0.686 0.093 7.416 0.000 0.686 0.570
## SI =~
## B1_SI1_Peers 1.002 0.075 13.337 0.000 1.002 0.850
## B1_SI2_ResClmt 0.799 0.095 8.386 0.000 0.799 0.620
## B1_SI3_Superrs 1.175 0.072 16.369 0.000 1.175 0.887
## B1_SI4_Journls 0.681 0.081 8.415 0.000 0.681 0.647
## B1_SI5_Field 0.652 0.092 7.116 0.000 0.652 0.531
## FC =~
## B1_FC1_Knowldg 0.937 0.100 9.398 0.000 0.937 0.607
## B1_FC2_WrkflwC 0.999 0.084 11.926 0.000 0.999 0.770
## B1_FC3_EasyTUs 1.055 0.070 15.180 0.000 1.055 0.911
## B1_FC4_FtsWlWW 1.037 0.069 14.998 0.000 1.037 0.870
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1_BehIntUse ~
## PE 0.529 0.107 4.959 0.000 0.529 0.388
## EE -0.262 0.213 -1.233 0.218 -0.262 -0.193
## SI 0.175 0.090 1.940 0.052 0.175 0.128
## FC 0.784 0.205 3.829 0.000 0.784 0.575
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B1_EE5_TooComplicated ~~
## .B1_EE6_TLngTLr 0.694 0.127 5.453 0.000 0.694
## .B1_EE4_TooMuchTime ~~
## .B1_EE5_TCmplct 0.520 0.124 4.200 0.000 0.520
## .B1_EE6_TLngTLr 0.528 0.118 4.459 0.000 0.528
## .B1_PE4_IncPubChances ~~
## .B1_PE5_PosPR 0.375 0.065 5.792 0.000 0.375
## PE ~~
## EE 0.577 0.066 8.759 0.000 0.577
## SI 0.652 0.055 11.848 0.000 0.652
## FC 0.520 0.070 7.453 0.000 0.520
## EE ~~
## SI 0.442 0.073 6.032 0.000 0.442
## FC 0.884 0.022 40.128 0.000 0.884
## SI ~~
## FC 0.423 0.072 5.886 0.000 0.423
## Std.all
##
## 0.766
##
## 0.511
## 0.481
##
## 0.693
##
## 0.577
## 0.652
## 0.520
##
## 0.442
## 0.884
##
## 0.423
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 5.205 0.090 58.043 0.000 5.205 4.157
## .B1_PE2_WrtFstr 4.626 0.095 48.656 0.000 4.626 3.484
## .B1_PE3_IncPrdc 4.374 0.090 48.473 0.000 4.374 3.471
## .B1_PE4_IncPbCh 4.974 0.079 62.761 0.000 4.974 4.494
## .B1_PE5_PosPR 4.887 0.081 60.574 0.000 4.887 4.338
## .B1_PE6_EasrWrt 4.738 0.086 54.862 0.000 4.738 3.929
## .B1_PE7_ImprvQl 5.103 0.086 59.048 0.000 5.103 4.228
## .B1_PE8_MrEffcn 4.815 0.090 53.736 0.000 4.815 3.848
## .B1_PE9_IncQlSE 4.651 0.089 52.516 0.000 4.651 3.761
## .B1_EE1_EasyTUs 4.800 0.077 62.651 0.000 4.800 4.487
## .B1_EE2_ClrUndr 5.185 0.077 67.347 0.000 5.185 4.823
## .B1_EE3_BcmSkll 4.985 0.078 63.959 0.000 4.985 4.580
## .B1_EE4_ToMchTm 4.200 0.089 47.348 0.000 4.200 3.391
## .B1_EE5_TCmplct 4.933 0.084 58.531 0.000 4.933 4.191
## .B1_EE6_TLngTLr 4.708 0.086 54.633 0.000 4.708 3.912
## .B1_SI1_Peers 4.015 0.084 47.568 0.000 4.015 3.406
## .B1_SI2_ResClmt 4.692 0.092 50.870 0.000 4.692 3.643
## .B1_SI3_Superrs 3.867 0.095 40.740 0.000 3.867 2.917
## .B1_SI4_Journls 4.990 0.075 66.207 0.000 4.990 4.741
## .B1_SI5_Field 3.908 0.088 44.415 0.000 3.908 3.181
## .B1_FC1_Knowldg 4.518 0.111 40.869 0.000 4.518 2.927
## .B1_FC2_WrkflwC 4.728 0.093 50.863 0.000 4.728 3.642
## .B1_FC3_EasyTUs 4.831 0.083 58.262 0.000 4.831 4.172
## .B1_FC4_FtsWlWW 4.785 0.085 56.063 0.000 4.785 4.015
## .B1_BehIntUse 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 0.737 0.156 4.719 0.000 0.737 0.470
## .B1_PE2_WrtFstr 0.433 0.073 5.935 0.000 0.433 0.246
## .B1_PE3_IncPrdc 0.400 0.051 7.796 0.000 0.400 0.252
## .B1_PE4_IncPbCh 0.506 0.066 7.699 0.000 0.506 0.413
## .B1_PE5_PosPR 0.580 0.073 7.917 0.000 0.580 0.457
## .B1_PE6_EasrWrt 0.268 0.041 6.494 0.000 0.268 0.184
## .B1_PE7_ImprvQl 0.517 0.079 6.560 0.000 0.517 0.355
## .B1_PE8_MrEffcn 0.439 0.079 5.534 0.000 0.439 0.280
## .B1_PE9_IncQlSE 0.426 0.055 7.725 0.000 0.426 0.278
## .B1_EE1_EasyTUs 0.348 0.051 6.837 0.000 0.348 0.304
## .B1_EE2_ClrUndr 0.290 0.048 5.987 0.000 0.290 0.251
## .B1_EE3_BcmSkll 0.424 0.056 7.545 0.000 0.424 0.358
## .B1_EE4_ToMchTm 1.233 0.137 9.001 0.000 1.233 0.803
## .B1_EE5_TCmplct 0.840 0.137 6.116 0.000 0.840 0.606
## .B1_EE6_TLngTLr 0.977 0.130 7.525 0.000 0.977 0.675
## .B1_SI1_Peers 0.386 0.054 7.135 0.000 0.386 0.278
## .B1_SI2_ResClmt 1.021 0.118 8.616 0.000 1.021 0.615
## .B1_SI3_Superrs 0.375 0.072 5.213 0.000 0.375 0.213
## .B1_SI4_Journls 0.643 0.072 8.970 0.000 0.643 0.581
## .B1_SI5_Field 1.084 0.135 8.015 0.000 1.084 0.718
## .B1_FC1_Knowldg 1.505 0.169 8.923 0.000 1.505 0.631
## .B1_FC2_WrkflwC 0.687 0.118 5.805 0.000 0.687 0.408
## .B1_FC3_EasyTUs 0.227 0.046 4.929 0.000 0.227 0.169
## .B1_FC4_FtsWlWW 0.345 0.056 6.173 0.000 0.345 0.243
## .B1_BehIntUse 0.759 0.091 8.341 0.000 0.759 0.409
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B1_PE1_Useful 0.530
## B1_PE2_WrtFstr 0.754
## B1_PE3_IncPrdc 0.748
## B1_PE4_IncPbCh 0.587
## B1_PE5_PosPR 0.543
## B1_PE6_EasrWrt 0.816
## B1_PE7_ImprvQl 0.645
## B1_PE8_MrEffcn 0.720
## B1_PE9_IncQlSE 0.722
## B1_EE1_EasyTUs 0.696
## B1_EE2_ClrUndr 0.749
## B1_EE3_BcmSkll 0.642
## B1_EE4_ToMchTm 0.197
## B1_EE5_TCmplct 0.394
## B1_EE6_TLngTLr 0.325
## B1_SI1_Peers 0.722
## B1_SI2_ResClmt 0.385
## B1_SI3_Superrs 0.787
## B1_SI4_Journls 0.419
## B1_SI5_Field 0.282
## B1_FC1_Knowldg 0.369
## B1_FC2_WrkflwC 0.592
## B1_FC3_EasyTUs 0.831
## B1_FC4_FtsWlWW 0.757
## B1_BehIntUse 0.591#compare new and old models
anova(fitB1, fitB1.2)## Scaled Chi Square Difference Test (method = "satorra.bentler.2001")
##
## Df AIC BIC Chisq Chisq diff Df diff Pr(>Chisq)
## fitB1.2 262 12272 12560 606.22
## fitB1 266 12594 12869 935.75 124.65 4 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1B1modelmodind2dropfc3 <-
'PE =~ B1_PE1_Useful + B1_PE2_WriteFaster + B1_PE3_IncProductivity + B1_PE4_IncPubChances + B1_PE5_PosPR + B1_PE6_EasierWrite + B1_PE7_ImproveQuality + B1_PE8_MoreEfficient + B1_PE9_IncQualSameEffort
EE=~ B1_EE1_EasyToUse + B1_EE2_ClearUnderstandable + B1_EE3_BecomeSkillful + B1_EE4_TooMuchTime + B1_EE5_TooComplicated + B1_EE6_TooLongToLearn
SI=~ B1_SI1_Peers + B1_SI2_ResClimate + B1_SI3_Superiors + B1_SI4_Journals + B1_SI5_Field
FC=~ B1_FC1_Knowledge + B1_FC2_WorkflowCompatibility + B1_FC4_FitsWellWithWork
B1_BehIntUse ~ PE + EE + SI + FC
B1_EE5_TooComplicated ~~ B1_EE6_TooLongToLearn
B1_EE5_TooComplicated ~~ B1_EE4_TooMuchTime
B1_EE4_TooMuchTime ~~ B1_EE6_TooLongToLearn
B1_PE4_IncPubChances ~~ B1_PE5_PosPR
'
#fit the model
fitB1.2dropfc3 <- cfa(model = B1modelmodind2dropfc3, data = B1likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB1.2dropfc3, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 47 iterations
##
## Optimization method NLMINB
## Number of free parameters 85
##
## Number of observations 195
##
## Estimator ML Robust
## Model Fit Test Statistic 574.773 489.257
## Degrees of freedom 239 239
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.175
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3941.031 2783.772
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.908 0.900
## Tucker-Lewis Index (TLI) 0.894 0.885
##
## Robust Comparative Fit Index (CFI) 0.917
## Robust Tucker-Lewis Index (TLI) 0.904
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -5872.933 -5872.933
## Loglikelihood unrestricted model (H1) -5585.547 -5585.547
##
## Number of free parameters 85 85
## Akaike (AIC) 11915.867 11915.867
## Bayesian (BIC) 12194.072 12194.072
## Sample-size adjusted Bayesian (BIC) 11924.805 11924.805
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.085 0.073
## 90 Percent Confidence Interval 0.076 0.094 0.065 0.082
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.079
## 90 Percent Confidence Interval 0.069 0.089
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.077 0.077
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B1_PE1_Useful 0.912 0.094 9.711 0.000 0.912 0.728
## B1_PE2_WrtFstr 1.153 0.078 14.828 0.000 1.153 0.868
## B1_PE3_IncPrdc 1.090 0.073 15.017 0.000 1.090 0.865
## B1_PE4_IncPbCh 0.848 0.079 10.674 0.000 0.848 0.766
## B1_PE5_PosPR 0.830 0.088 9.428 0.000 0.830 0.737
## B1_PE6_EasrWrt 1.089 0.072 15.170 0.000 1.089 0.903
## B1_PE7_ImprvQl 0.969 0.084 11.555 0.000 0.969 0.803
## B1_PE8_MrEffcn 1.062 0.081 13.046 0.000 1.062 0.849
## B1_PE9_IncQlSE 1.051 0.082 12.801 0.000 1.051 0.850
## EE =~
## B1_EE1_EasyTUs 0.900 0.067 13.439 0.000 0.900 0.841
## B1_EE2_ClrUndr 0.934 0.064 14.543 0.000 0.934 0.869
## B1_EE3_BcmSkll 0.863 0.070 12.376 0.000 0.863 0.793
## B1_EE4_ToMchTm 0.542 0.107 5.083 0.000 0.542 0.437
## B1_EE5_TCmplct 0.732 0.087 8.397 0.000 0.732 0.622
## B1_EE6_TLngTLr 0.685 0.093 7.398 0.000 0.685 0.569
## SI =~
## B1_SI1_Peers 1.000 0.075 13.303 0.000 1.000 0.848
## B1_SI2_ResClmt 0.800 0.095 8.401 0.000 0.800 0.621
## B1_SI3_Superrs 1.175 0.072 16.353 0.000 1.175 0.887
## B1_SI4_Journls 0.683 0.081 8.451 0.000 0.683 0.649
## B1_SI5_Field 0.652 0.092 7.117 0.000 0.652 0.531
## FC =~
## B1_FC1_Knowldg 0.924 0.100 9.222 0.000 0.924 0.599
## B1_FC2_WrkflwC 1.019 0.083 12.303 0.000 1.019 0.785
## B1_FC4_FtsWlWW 1.015 0.073 13.835 0.000 1.015 0.852
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1_BehIntUse ~
## PE 0.523 0.108 4.833 0.000 0.523 0.384
## EE -0.292 0.300 -0.973 0.330 -0.292 -0.215
## SI 0.127 0.096 1.329 0.184 0.127 0.093
## FC 0.836 0.299 2.791 0.005 0.836 0.614
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B1_EE5_TooComplicated ~~
## .B1_EE6_TLngTLr 0.700 0.126 5.534 0.000 0.700
## .B1_EE4_TooMuchTime ~~
## .B1_EE5_TCmplct 0.530 0.122 4.328 0.000 0.530
## .B1_EE6_TLngTLr 0.533 0.117 4.553 0.000 0.533
## .B1_PE4_IncPubChances ~~
## .B1_PE5_PosPR 0.376 0.065 5.797 0.000 0.376
## PE ~~
## EE 0.577 0.066 8.788 0.000 0.577
## SI 0.652 0.055 11.860 0.000 0.652
## FC 0.552 0.066 8.428 0.000 0.552
## EE ~~
## SI 0.444 0.073 6.082 0.000 0.444
## FC 0.892 0.032 27.624 0.000 0.892
## SI ~~
## FC 0.476 0.067 7.050 0.000 0.476
## Std.all
##
## 0.767
##
## 0.516
## 0.484
##
## 0.693
##
## 0.577
## 0.652
## 0.552
##
## 0.444
## 0.892
##
## 0.476
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 5.205 0.090 58.043 0.000 5.205 4.157
## .B1_PE2_WrtFstr 4.626 0.095 48.656 0.000 4.626 3.484
## .B1_PE3_IncPrdc 4.374 0.090 48.473 0.000 4.374 3.471
## .B1_PE4_IncPbCh 4.974 0.079 62.761 0.000 4.974 4.494
## .B1_PE5_PosPR 4.887 0.081 60.574 0.000 4.887 4.338
## .B1_PE6_EasrWrt 4.738 0.086 54.862 0.000 4.738 3.929
## .B1_PE7_ImprvQl 5.103 0.086 59.048 0.000 5.103 4.228
## .B1_PE8_MrEffcn 4.815 0.090 53.736 0.000 4.815 3.848
## .B1_PE9_IncQlSE 4.651 0.089 52.516 0.000 4.651 3.761
## .B1_EE1_EasyTUs 4.800 0.077 62.651 0.000 4.800 4.487
## .B1_EE2_ClrUndr 5.185 0.077 67.347 0.000 5.185 4.823
## .B1_EE3_BcmSkll 4.985 0.078 63.959 0.000 4.985 4.580
## .B1_EE4_ToMchTm 4.200 0.089 47.348 0.000 4.200 3.391
## .B1_EE5_TCmplct 4.933 0.084 58.531 0.000 4.933 4.191
## .B1_EE6_TLngTLr 4.708 0.086 54.633 0.000 4.708 3.912
## .B1_SI1_Peers 4.015 0.084 47.568 0.000 4.015 3.406
## .B1_SI2_ResClmt 4.692 0.092 50.870 0.000 4.692 3.643
## .B1_SI3_Superrs 3.867 0.095 40.740 0.000 3.867 2.917
## .B1_SI4_Journls 4.990 0.075 66.207 0.000 4.990 4.741
## .B1_SI5_Field 3.908 0.088 44.415 0.000 3.908 3.181
## .B1_FC1_Knowldg 4.518 0.111 40.869 0.000 4.518 2.927
## .B1_FC2_WrkflwC 4.728 0.093 50.863 0.000 4.728 3.642
## .B1_FC4_FtsWlWW 4.785 0.085 56.063 0.000 4.785 4.015
## .B1_BehIntUse 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## EE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 0.737 0.156 4.719 0.000 0.737 0.470
## .B1_PE2_WrtFstr 0.434 0.073 5.944 0.000 0.434 0.246
## .B1_PE3_IncPrdc 0.400 0.051 7.794 0.000 0.400 0.252
## .B1_PE4_IncPbCh 0.507 0.066 7.702 0.000 0.507 0.414
## .B1_PE5_PosPR 0.580 0.073 7.927 0.000 0.580 0.457
## .B1_PE6_EasrWrt 0.268 0.041 6.504 0.000 0.268 0.184
## .B1_PE7_ImprvQl 0.516 0.079 6.555 0.000 0.516 0.355
## .B1_PE8_MrEffcn 0.438 0.079 5.530 0.000 0.438 0.280
## .B1_PE9_IncQlSE 0.425 0.055 7.722 0.000 0.425 0.278
## .B1_EE1_EasyTUs 0.335 0.051 6.604 0.000 0.335 0.293
## .B1_EE2_ClrUndr 0.283 0.049 5.785 0.000 0.283 0.245
## .B1_EE3_BcmSkll 0.440 0.057 7.670 0.000 0.440 0.371
## .B1_EE4_ToMchTm 1.241 0.137 9.039 0.000 1.241 0.809
## .B1_EE5_TCmplct 0.850 0.136 6.247 0.000 0.850 0.614
## .B1_EE6_TLngTLr 0.978 0.130 7.530 0.000 0.978 0.676
## .B1_SI1_Peers 0.390 0.054 7.166 0.000 0.390 0.280
## .B1_SI2_ResClmt 1.019 0.119 8.590 0.000 1.019 0.614
## .B1_SI3_Superrs 0.375 0.072 5.231 0.000 0.375 0.214
## .B1_SI4_Journls 0.641 0.072 8.960 0.000 0.641 0.579
## .B1_SI5_Field 1.084 0.135 8.013 0.000 1.084 0.718
## .B1_FC1_Knowldg 1.529 0.166 9.204 0.000 1.529 0.641
## .B1_FC2_WrkflwC 0.647 0.114 5.656 0.000 0.647 0.384
## .B1_FC4_FtsWlWW 0.389 0.086 4.540 0.000 0.389 0.274
## .B1_BehIntUse 0.756 0.103 7.341 0.000 0.756 0.408
## PE 1.000 1.000 1.000
## EE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B1_PE1_Useful 0.530
## B1_PE2_WrtFstr 0.754
## B1_PE3_IncPrdc 0.748
## B1_PE4_IncPbCh 0.586
## B1_PE5_PosPR 0.543
## B1_PE6_EasrWrt 0.816
## B1_PE7_ImprvQl 0.645
## B1_PE8_MrEffcn 0.720
## B1_PE9_IncQlSE 0.722
## B1_EE1_EasyTUs 0.707
## B1_EE2_ClrUndr 0.755
## B1_EE3_BcmSkll 0.629
## B1_EE4_ToMchTm 0.191
## B1_EE5_TCmplct 0.386
## B1_EE6_TLngTLr 0.324
## B1_SI1_Peers 0.720
## B1_SI2_ResClmt 0.386
## B1_SI3_Superrs 0.786
## B1_SI4_Journls 0.421
## B1_SI5_Field 0.282
## B1_FC1_Knowldg 0.359
## B1_FC2_WrkflwC 0.616
## B1_FC4_FtsWlWW 0.726
## B1_BehIntUse 0.592#compare new and old models
anova(fitB1, fitB1.2dropfc3)## Warning in lavTestLRT(object = <S4 object of class structure("lavaan",
## package = "lavaan")>, : lavaan WARNING: some models are based on a
## different set of observed variables## Scaled Chi Square Difference Test (method = "satorra.bentler.2001")
##
## Df AIC BIC Chisq Chisq diff Df diff Pr(>Chisq)
## fitB1.2dropfc3 239 11916 12194 574.77
## fitB1 266 12594 12869 935.75 246.03 27 < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1modificationindices(fitB1.2dropfc3, sort = TRUE)## lhs op rhs mi
## 186 B1_PE2_WriteFaster ~~ B1_PE3_IncProductivity 32.861
## 429 B1_FC1_Knowledge ~~ B1_FC2_WorkflowCompatibility 29.014
## 161 FC =~ B1_SI4_Journals 28.161
## 211 B1_PE3_IncProductivity ~~ B1_PE7_ImproveQuality 25.021
## 107 PE =~ B1_FC4_FitsWellWithWork 24.877
## 120 EE =~ B1_SI4_Journals 23.055
## 400 B1_SI1_Peers ~~ B1_SI3_Superiors 22.329
## 434 B1_FC4_FitsWellWithWork ~~ B1_BehIntUse 19.387
## 159 FC =~ B1_SI2_ResClimate 15.988
## 190 B1_PE2_WriteFaster ~~ B1_PE7_ImproveQuality 15.476
## 118 EE =~ B1_SI2_ResClimate 15.226
## 105 PE =~ B1_FC1_Knowledge 14.793
## 430 B1_FC1_Knowledge ~~ B1_FC4_FitsWellWithWork 14.519
## 143 FC =~ B1_PE1_Useful 13.320
## 193 B1_PE2_WriteFaster ~~ B1_EE1_EasyToUse 12.986
## 108 EE =~ B1_PE1_Useful 11.956
## 431 B1_FC1_Knowledge ~~ B1_BehIntUse 11.849
## 249 B1_PE5_PosPR ~~ B1_PE7_ImproveQuality 10.411
## 168 B1_PE1_Useful ~~ B1_PE7_ImproveQuality 10.328
## 379 B1_EE4_TooMuchTime ~~ B1_FC4_FitsWellWithWork 10.033
## 158 FC =~ B1_SI1_Peers 10.006
## 397 B1_EE6_TooLongToLearn ~~ B1_FC4_FitsWellWithWork 9.571
## 428 B1_SI5_Field ~~ B1_BehIntUse 8.960
## 103 PE =~ B1_SI4_Journals 8.829
## 287 B1_PE7_ImproveQuality ~~ B1_EE1_EasyToUse 8.735
## 180 B1_PE1_Useful ~~ B1_SI4_Journals 8.201
## 401 B1_SI1_Peers ~~ B1_SI4_Journals 7.967
## 385 B1_EE5_TooComplicated ~~ B1_SI5_Field 7.928
## 134 SI =~ B1_EE1_EasyToUse 7.796
## 131 SI =~ B1_PE7_ImproveQuality 7.668
## 223 B1_PE3_IncProductivity ~~ B1_SI4_Journals 7.512
## 167 B1_PE1_Useful ~~ B1_PE6_EasierWrite 7.286
## 97 PE =~ B1_EE4_TooMuchTime 7.259
## 119 EE =~ B1_SI3_Superiors 7.032
## 94 PE =~ B1_EE1_EasyToUse 6.995
## 336 B1_EE1_EasyToUse ~~ B1_EE5_TooComplicated 6.873
## 160 FC =~ B1_SI3_Superiors 6.736
## 106 PE =~ B1_FC2_WorkflowCompatibility 6.599
## 349 B1_EE2_ClearUnderstandable ~~ B1_EE5_TooComplicated 6.552
## 418 B1_SI3_Superiors ~~ B1_FC4_FitsWellWithWork 6.187
## 309 B1_PE8_MoreEfficient ~~ B1_SI1_Peers 6.152
## 348 B1_EE2_ClearUnderstandable ~~ B1_EE4_TooMuchTime 6.078
## 145 FC =~ B1_PE3_IncProductivity 6.029
## 365 B1_EE3_BecomeSkillful ~~ B1_SI3_Superiors 5.983
## 423 B1_SI4_Journals ~~ B1_FC4_FitsWellWithWork 5.890
## 377 B1_EE4_TooMuchTime ~~ B1_FC1_Knowledge 5.842
## 117 EE =~ B1_SI1_Peers 5.742
## 137 SI =~ B1_EE4_TooMuchTime 5.561
## 281 B1_PE6_EasierWrite ~~ B1_FC1_Knowledge 5.509
## 205 B1_PE2_WriteFaster ~~ B1_FC2_WorkflowCompatibility 5.483
## 283 B1_PE6_EasierWrite ~~ B1_FC4_FitsWellWithWork 5.468
## 316 B1_PE8_MoreEfficient ~~ B1_FC4_FitsWellWithWork 5.366
## 395 B1_EE6_TooLongToLearn ~~ B1_FC1_Knowledge 5.325
## 333 B1_EE1_EasyToUse ~~ B1_EE2_ClearUnderstandable 5.183
## 252 B1_PE5_PosPR ~~ B1_EE1_EasyToUse 4.943
## 173 B1_PE1_Useful ~~ B1_EE3_BecomeSkillful 4.841
## 433 B1_FC2_WorkflowCompatibility ~~ B1_BehIntUse 4.812
## 319 B1_PE9_IncQualSameEffort ~~ B1_EE2_ClearUnderstandable 4.747
## 299 B1_PE7_ImproveQuality ~~ B1_FC2_WorkflowCompatibility 4.735
## 210 B1_PE3_IncProductivity ~~ B1_PE6_EasierWrite 4.677
## 188 B1_PE2_WriteFaster ~~ B1_PE5_PosPR 4.531
## 171 B1_PE1_Useful ~~ B1_EE1_EasyToUse 4.517
## 98 PE =~ B1_EE5_TooComplicated 4.506
## 378 B1_EE4_TooMuchTime ~~ B1_FC2_WorkflowCompatibility 4.212
## 183 B1_PE1_Useful ~~ B1_FC2_WorkflowCompatibility 4.195
## 110 EE =~ B1_PE3_IncProductivity 4.193
## 396 B1_EE6_TooLongToLearn ~~ B1_FC2_WorkflowCompatibility 4.162
## 138 SI =~ B1_EE5_TooComplicated 4.048
## 416 B1_SI3_Superiors ~~ B1_FC1_Knowledge 4.042
## 153 FC =~ B1_EE2_ClearUnderstandable 4.010
## 318 B1_PE9_IncQualSameEffort ~~ B1_EE1_EasyToUse 3.833
## 175 B1_PE1_Useful ~~ B1_EE5_TooComplicated 3.826
## 391 B1_EE6_TooLongToLearn ~~ B1_SI2_ResClimate 3.745
## 130 SI =~ B1_PE6_EasierWrite 3.715
## 356 B1_EE2_ClearUnderstandable ~~ B1_FC1_Knowledge 3.659
## 129 SI =~ B1_PE5_PosPR 3.613
## 212 B1_PE3_IncProductivity ~~ B1_PE8_MoreEfficient 3.543
## 285 B1_PE7_ImproveQuality ~~ B1_PE8_MoreEfficient 3.506
## 407 B1_SI2_ResClimate ~~ B1_SI3_Superiors 3.468
## 295 B1_PE7_ImproveQuality ~~ B1_SI3_Superiors 3.454
## 163 B1_PE1_Useful ~~ B1_PE2_WriteFaster 3.425
## 417 B1_SI3_Superiors ~~ B1_FC2_WorkflowCompatibility 3.201
## 382 B1_EE5_TooComplicated ~~ B1_SI2_ResClimate 3.197
## 115 EE =~ B1_PE8_MoreEfficient 3.124
## 298 B1_PE7_ImproveQuality ~~ B1_FC1_Knowledge 3.106
## 322 B1_PE9_IncQualSameEffort ~~ B1_EE5_TooComplicated 3.005
## 358 B1_EE2_ClearUnderstandable ~~ B1_FC4_FitsWellWithWork 2.952
## 132 SI =~ B1_PE8_MoreEfficient 2.933
## 339 B1_EE1_EasyToUse ~~ B1_SI2_ResClimate 2.871
## 388 B1_EE5_TooComplicated ~~ B1_FC4_FitsWellWithWork 2.865
## 155 FC =~ B1_EE4_TooMuchTime 2.862
## 150 FC =~ B1_PE8_MoreEfficient 2.856
## 95 PE =~ B1_EE2_ClearUnderstandable 2.841
## 392 B1_EE6_TooLongToLearn ~~ B1_SI3_Superiors 2.796
## 189 B1_PE2_WriteFaster ~~ B1_PE6_EasierWrite 2.767
## 315 B1_PE8_MoreEfficient ~~ B1_FC2_WorkflowCompatibility 2.748
## 352 B1_EE2_ClearUnderstandable ~~ B1_SI2_ResClimate 2.727
## 214 B1_PE3_IncProductivity ~~ B1_EE1_EasyToUse 2.692
## 334 B1_EE1_EasyToUse ~~ B1_EE3_BecomeSkillful 2.598
## 405 B1_SI1_Peers ~~ B1_FC4_FitsWellWithWork 2.593
## 235 B1_PE4_IncPubChances ~~ B1_EE3_BecomeSkillful 2.536
## 102 PE =~ B1_SI3_Superiors 2.442
## 231 B1_PE4_IncPubChances ~~ B1_PE8_MoreEfficient 2.440
## 122 EE =~ B1_FC1_Knowledge 2.387
## 272 B1_PE6_EasierWrite ~~ B1_EE3_BecomeSkillful 2.375
## 380 B1_EE4_TooMuchTime ~~ B1_BehIntUse 2.339
## 259 B1_PE5_PosPR ~~ B1_SI2_ResClimate 2.297
## 390 B1_EE6_TooLongToLearn ~~ B1_SI1_Peers 2.293
## 307 B1_PE8_MoreEfficient ~~ B1_EE5_TooComplicated 2.283
## 255 B1_PE5_PosPR ~~ B1_EE4_TooMuchTime 2.237
## 200 B1_PE2_WriteFaster ~~ B1_SI2_ResClimate 2.095
## 306 B1_PE8_MoreEfficient ~~ B1_EE4_TooMuchTime 2.036
## 127 SI =~ B1_PE3_IncProductivity 2.033
## 112 EE =~ B1_PE5_PosPR 2.020
## 179 B1_PE1_Useful ~~ B1_SI3_Superiors 1.979
## 181 B1_PE1_Useful ~~ B1_SI5_Field 1.876
## 165 B1_PE1_Useful ~~ B1_PE4_IncPubChances 1.864
## 414 B1_SI3_Superiors ~~ B1_SI4_Journals 1.850
## 364 B1_EE3_BecomeSkillful ~~ B1_SI2_ResClimate 1.799
## 424 B1_SI4_Journals ~~ B1_BehIntUse 1.744
## 419 B1_SI3_Superiors ~~ B1_BehIntUse 1.699
## 296 B1_PE7_ImproveQuality ~~ B1_SI4_Journals 1.684
## 101 PE =~ B1_SI2_ResClimate 1.677
## 420 B1_SI4_Journals ~~ B1_SI5_Field 1.662
## 341 B1_EE1_EasyToUse ~~ B1_SI4_Journals 1.577
## 406 B1_SI1_Peers ~~ B1_BehIntUse 1.555
## 178 B1_PE1_Useful ~~ B1_SI2_ResClimate 1.504
## 350 B1_EE2_ClearUnderstandable ~~ B1_EE6_TooLongToLearn 1.478
## 133 SI =~ B1_PE9_IncQualSameEffort 1.465
## 202 B1_PE2_WriteFaster ~~ B1_SI4_Journals 1.451
## 409 B1_SI2_ResClimate ~~ B1_SI5_Field 1.419
## 225 B1_PE3_IncProductivity ~~ B1_FC1_Knowledge 1.400
## 123 EE =~ B1_FC2_WorkflowCompatibility 1.385
## 394 B1_EE6_TooLongToLearn ~~ B1_SI5_Field 1.376
## 408 B1_SI2_ResClimate ~~ B1_SI4_Journals 1.324
## 236 B1_PE4_IncPubChances ~~ B1_EE4_TooMuchTime 1.323
## 218 B1_PE3_IncProductivity ~~ B1_EE5_TooComplicated 1.287
## 261 B1_PE5_PosPR ~~ B1_SI4_Journals 1.252
## 327 B1_PE9_IncQualSameEffort ~~ B1_SI4_Journals 1.235
## 308 B1_PE8_MoreEfficient ~~ B1_EE6_TooLongToLearn 1.222
## 144 FC =~ B1_PE2_WriteFaster 1.211
## 301 B1_PE7_ImproveQuality ~~ B1_BehIntUse 1.192
## 359 B1_EE2_ClearUnderstandable ~~ B1_BehIntUse 1.156
## 362 B1_EE3_BecomeSkillful ~~ B1_EE6_TooLongToLearn 1.129
## 279 B1_PE6_EasierWrite ~~ B1_SI4_Journals 1.126
## 100 PE =~ B1_SI1_Peers 1.088
## 312 B1_PE8_MoreEfficient ~~ B1_SI4_Journals 1.084
## 197 B1_PE2_WriteFaster ~~ B1_EE5_TooComplicated 1.072
## 432 B1_FC2_WorkflowCompatibility ~~ B1_FC4_FitsWellWithWork 1.065
## 125 SI =~ B1_PE1_Useful 1.061
## 338 B1_EE1_EasyToUse ~~ B1_SI1_Peers 1.056
## 251 B1_PE5_PosPR ~~ B1_PE9_IncQualSameEffort 1.041
## 246 B1_PE4_IncPubChances ~~ B1_FC4_FitsWellWithWork 1.037
## 373 B1_EE4_TooMuchTime ~~ B1_SI2_ResClimate 1.032
## 164 B1_PE1_Useful ~~ B1_PE3_IncProductivity 0.990
## 230 B1_PE4_IncPubChances ~~ B1_PE7_ImproveQuality 0.986
## 176 B1_PE1_Useful ~~ B1_EE6_TooLongToLearn 0.959
## 237 B1_PE4_IncPubChances ~~ B1_EE5_TooComplicated 0.947
## 250 B1_PE5_PosPR ~~ B1_PE8_MoreEfficient 0.937
## 332 B1_PE9_IncQualSameEffort ~~ B1_BehIntUse 0.928
## 288 B1_PE7_ImproveQuality ~~ B1_EE2_ClearUnderstandable 0.906
## 383 B1_EE5_TooComplicated ~~ B1_SI3_Superiors 0.859
## 323 B1_PE9_IncQualSameEffort ~~ B1_EE6_TooLongToLearn 0.803
## 425 B1_SI5_Field ~~ B1_FC1_Knowledge 0.774
## 343 B1_EE1_EasyToUse ~~ B1_FC1_Knowledge 0.772
## 258 B1_PE5_PosPR ~~ B1_SI1_Peers 0.761
## 305 B1_PE8_MoreEfficient ~~ B1_EE3_BecomeSkillful 0.742
## 234 B1_PE4_IncPubChances ~~ B1_EE2_ClearUnderstandable 0.740
## 325 B1_PE9_IncQualSameEffort ~~ B1_SI2_ResClimate 0.732
## 136 SI =~ B1_EE3_BecomeSkillful 0.712
## 402 B1_SI1_Peers ~~ B1_SI5_Field 0.704
## 337 B1_EE1_EasyToUse ~~ B1_EE6_TooLongToLearn 0.703
## 330 B1_PE9_IncQualSameEffort ~~ B1_FC2_WorkflowCompatibility 0.700
## 280 B1_PE6_EasierWrite ~~ B1_SI5_Field 0.669
## 116 EE =~ B1_PE9_IncQualSameEffort 0.664
## 376 B1_EE4_TooMuchTime ~~ B1_SI5_Field 0.649
## 126 SI =~ B1_PE2_WriteFaster 0.649
## 260 B1_PE5_PosPR ~~ B1_SI3_Superiors 0.640
## 268 B1_PE6_EasierWrite ~~ B1_PE8_MoreEfficient 0.632
## 297 B1_PE7_ImproveQuality ~~ B1_SI5_Field 0.631
## 147 FC =~ B1_PE5_PosPR 0.622
## 387 B1_EE5_TooComplicated ~~ B1_FC2_WorkflowCompatibility 0.615
## 199 B1_PE2_WriteFaster ~~ B1_SI1_Peers 0.609
## 195 B1_PE2_WriteFaster ~~ B1_EE3_BecomeSkillful 0.594
## 139 SI =~ B1_EE6_TooLongToLearn 0.588
## 321 B1_PE9_IncQualSameEffort ~~ B1_EE4_TooMuchTime 0.580
## 96 PE =~ B1_EE3_BecomeSkillful 0.572
## 204 B1_PE2_WriteFaster ~~ B1_FC1_Knowledge 0.568
## 290 B1_PE7_ImproveQuality ~~ B1_EE4_TooMuchTime 0.566
## 286 B1_PE7_ImproveQuality ~~ B1_PE9_IncQualSameEffort 0.564
## 99 PE =~ B1_EE6_TooLongToLearn 0.559
## 220 B1_PE3_IncProductivity ~~ B1_SI1_Peers 0.551
## 413 B1_SI2_ResClimate ~~ B1_BehIntUse 0.547
## 278 B1_PE6_EasierWrite ~~ B1_SI3_Superiors 0.547
## 302 B1_PE8_MoreEfficient ~~ B1_PE9_IncQualSameEffort 0.545
## 227 B1_PE3_IncProductivity ~~ B1_FC4_FitsWellWithWork 0.539
## 206 B1_PE2_WriteFaster ~~ B1_FC4_FitsWellWithWork 0.468
## 370 B1_EE3_BecomeSkillful ~~ B1_FC4_FitsWellWithWork 0.460
## 412 B1_SI2_ResClimate ~~ B1_FC4_FitsWellWithWork 0.455
## 340 B1_EE1_EasyToUse ~~ B1_SI3_Superiors 0.448
## 328 B1_PE9_IncQualSameEffort ~~ B1_SI5_Field 0.438
## 282 B1_PE6_EasierWrite ~~ B1_FC2_WorkflowCompatibility 0.433
## 247 B1_PE4_IncPubChances ~~ B1_BehIntUse 0.429
## 226 B1_PE3_IncProductivity ~~ B1_FC2_WorkflowCompatibility 0.428
## 215 B1_PE3_IncProductivity ~~ B1_EE2_ClearUnderstandable 0.425
## 111 EE =~ B1_PE4_IncPubChances 0.415
## 427 B1_SI5_Field ~~ B1_FC4_FitsWellWithWork 0.415
## 156 FC =~ B1_EE5_TooComplicated 0.407
## 372 B1_EE4_TooMuchTime ~~ B1_SI1_Peers 0.401
## 191 B1_PE2_WriteFaster ~~ B1_PE8_MoreEfficient 0.401
## 256 B1_PE5_PosPR ~~ B1_EE5_TooComplicated 0.388
## 166 B1_PE1_Useful ~~ B1_PE5_PosPR 0.368
## 248 B1_PE5_PosPR ~~ B1_PE6_EasierWrite 0.362
## 335 B1_EE1_EasyToUse ~~ B1_EE4_TooMuchTime 0.359
## 142 SI =~ B1_FC4_FitsWellWithWork 0.322
## 149 FC =~ B1_PE7_ImproveQuality 0.313
## 293 B1_PE7_ImproveQuality ~~ B1_SI1_Peers 0.311
## 241 B1_PE4_IncPubChances ~~ B1_SI3_Superiors 0.311
## 375 B1_EE4_TooMuchTime ~~ B1_SI4_Journals 0.308
## 170 B1_PE1_Useful ~~ B1_PE9_IncQualSameEffort 0.305
## 410 B1_SI2_ResClimate ~~ B1_FC1_Knowledge 0.302
## 367 B1_EE3_BecomeSkillful ~~ B1_SI5_Field 0.302
## 404 B1_SI1_Peers ~~ B1_FC2_WorkflowCompatibility 0.301
## 357 B1_EE2_ClearUnderstandable ~~ B1_FC2_WorkflowCompatibility 0.291
## 192 B1_PE2_WriteFaster ~~ B1_PE9_IncQualSameEffort 0.288
## 324 B1_PE9_IncQualSameEffort ~~ B1_SI1_Peers 0.284
## 374 B1_EE4_TooMuchTime ~~ B1_SI3_Superiors 0.284
## 275 B1_PE6_EasierWrite ~~ B1_EE6_TooLongToLearn 0.277
## 304 B1_PE8_MoreEfficient ~~ B1_EE2_ClearUnderstandable 0.274
## 140 SI =~ B1_FC1_Knowledge 0.268
## 326 B1_PE9_IncQualSameEffort ~~ B1_SI3_Superiors 0.252
## 289 B1_PE7_ImproveQuality ~~ B1_EE3_BecomeSkillful 0.250
## 329 B1_PE9_IncQualSameEffort ~~ B1_FC1_Knowledge 0.235
## 294 B1_PE7_ImproveQuality ~~ B1_SI2_ResClimate 0.235
## 291 B1_PE7_ImproveQuality ~~ B1_EE5_TooComplicated 0.234
## 194 B1_PE2_WriteFaster ~~ B1_EE2_ClearUnderstandable 0.222
## 154 FC =~ B1_EE3_BecomeSkillful 0.216
## 314 B1_PE8_MoreEfficient ~~ B1_FC1_Knowledge 0.216
## 262 B1_PE5_PosPR ~~ B1_SI5_Field 0.210
## 209 B1_PE3_IncProductivity ~~ B1_PE5_PosPR 0.202
## 317 B1_PE8_MoreEfficient ~~ B1_BehIntUse 0.197
## 184 B1_PE1_Useful ~~ B1_FC4_FitsWellWithWork 0.194
## 229 B1_PE4_IncPubChances ~~ B1_PE6_EasierWrite 0.191
## 342 B1_EE1_EasyToUse ~~ B1_SI5_Field 0.187
## 182 B1_PE1_Useful ~~ B1_FC1_Knowledge 0.184
## 151 FC =~ B1_PE9_IncQualSameEffort 0.184
## 238 B1_PE4_IncPubChances ~~ B1_EE6_TooLongToLearn 0.176
## 135 SI =~ B1_EE2_ClearUnderstandable 0.176
## 354 B1_EE2_ClearUnderstandable ~~ B1_SI4_Journals 0.172
## 172 B1_PE1_Useful ~~ B1_EE2_ClearUnderstandable 0.170
## 196 B1_PE2_WriteFaster ~~ B1_EE4_TooMuchTime 0.167
## 114 EE =~ B1_PE7_ImproveQuality 0.161
## 284 B1_PE6_EasierWrite ~~ B1_BehIntUse 0.159
## 228 B1_PE3_IncProductivity ~~ B1_BehIntUse 0.159
## 185 B1_PE1_Useful ~~ B1_BehIntUse 0.157
## 242 B1_PE4_IncPubChances ~~ B1_SI4_Journals 0.155
## 257 B1_PE5_PosPR ~~ B1_EE6_TooLongToLearn 0.155
## 267 B1_PE6_EasierWrite ~~ B1_PE7_ImproveQuality 0.155
## 265 B1_PE5_PosPR ~~ B1_FC4_FitsWellWithWork 0.151
## 162 FC =~ B1_SI5_Field 0.132
## 187 B1_PE2_WriteFaster ~~ B1_PE4_IncPubChances 0.122
## 426 B1_SI5_Field ~~ B1_FC2_WorkflowCompatibility 0.118
## 240 B1_PE4_IncPubChances ~~ B1_SI2_ResClimate 0.118
## 415 B1_SI3_Superiors ~~ B1_SI5_Field 0.114
## 386 B1_EE5_TooComplicated ~~ B1_FC1_Knowledge 0.107
## 201 B1_PE2_WriteFaster ~~ B1_SI3_Superiors 0.106
## 263 B1_PE5_PosPR ~~ B1_FC1_Knowledge 0.105
## 384 B1_EE5_TooComplicated ~~ B1_SI4_Journals 0.099
## 121 EE =~ B1_SI5_Field 0.092
## 399 B1_SI1_Peers ~~ B1_SI2_ResClimate 0.086
## 393 B1_EE6_TooLongToLearn ~~ B1_SI4_Journals 0.078
## 269 B1_PE6_EasierWrite ~~ B1_PE9_IncQualSameEffort 0.073
## 152 FC =~ B1_EE1_EasyToUse 0.071
## 411 B1_SI2_ResClimate ~~ B1_FC2_WorkflowCompatibility 0.064
## 141 SI =~ B1_FC2_WorkflowCompatibility 0.058
## 331 B1_PE9_IncQualSameEffort ~~ B1_FC4_FitsWellWithWork 0.055
## 213 B1_PE3_IncProductivity ~~ B1_PE9_IncQualSameEffort 0.055
## 422 B1_SI4_Journals ~~ B1_FC2_WorkflowCompatibility 0.053
## 398 B1_EE6_TooLongToLearn ~~ B1_BehIntUse 0.052
## 300 B1_PE7_ImproveQuality ~~ B1_FC4_FitsWellWithWork 0.052
## 310 B1_PE8_MoreEfficient ~~ B1_SI2_ResClimate 0.051
## 128 SI =~ B1_PE4_IncPubChances 0.050
## 345 B1_EE1_EasyToUse ~~ B1_FC4_FitsWellWithWork 0.048
## 208 B1_PE3_IncProductivity ~~ B1_PE4_IncPubChances 0.048
## 104 PE =~ B1_SI5_Field 0.047
## 363 B1_EE3_BecomeSkillful ~~ B1_SI1_Peers 0.047
## 174 B1_PE1_Useful ~~ B1_EE4_TooMuchTime 0.046
## 157 FC =~ B1_EE6_TooLongToLearn 0.044
## 366 B1_EE3_BecomeSkillful ~~ B1_SI4_Journals 0.040
## 221 B1_PE3_IncProductivity ~~ B1_SI2_ResClimate 0.040
## 148 FC =~ B1_PE6_EasierWrite 0.040
## 347 B1_EE2_ClearUnderstandable ~~ B1_EE3_BecomeSkillful 0.038
## 276 B1_PE6_EasierWrite ~~ B1_SI1_Peers 0.037
## 355 B1_EE2_ClearUnderstandable ~~ B1_SI5_Field 0.035
## 421 B1_SI4_Journals ~~ B1_FC1_Knowledge 0.035
## 216 B1_PE3_IncProductivity ~~ B1_EE3_BecomeSkillful 0.035
## 277 B1_PE6_EasierWrite ~~ B1_SI2_ResClimate 0.032
## 271 B1_PE6_EasierWrite ~~ B1_EE2_ClearUnderstandable 0.028
## 292 B1_PE7_ImproveQuality ~~ B1_EE6_TooLongToLearn 0.027
## 243 B1_PE4_IncPubChances ~~ B1_SI5_Field 0.026
## 368 B1_EE3_BecomeSkillful ~~ B1_FC1_Knowledge 0.025
## 351 B1_EE2_ClearUnderstandable ~~ B1_SI1_Peers 0.024
## 344 B1_EE1_EasyToUse ~~ B1_FC2_WorkflowCompatibility 0.024
## 389 B1_EE5_TooComplicated ~~ B1_BehIntUse 0.024
## 353 B1_EE2_ClearUnderstandable ~~ B1_SI3_Superiors 0.023
## 113 EE =~ B1_PE6_EasierWrite 0.022
## 219 B1_PE3_IncProductivity ~~ B1_EE6_TooLongToLearn 0.022
## 313 B1_PE8_MoreEfficient ~~ B1_SI5_Field 0.021
## 403 B1_SI1_Peers ~~ B1_FC1_Knowledge 0.020
## 270 B1_PE6_EasierWrite ~~ B1_EE1_EasyToUse 0.017
## 198 B1_PE2_WriteFaster ~~ B1_EE6_TooLongToLearn 0.013
## 371 B1_EE3_BecomeSkillful ~~ B1_BehIntUse 0.013
## 177 B1_PE1_Useful ~~ B1_SI1_Peers 0.011
## 311 B1_PE8_MoreEfficient ~~ B1_SI3_Superiors 0.010
## 369 B1_EE3_BecomeSkillful ~~ B1_FC2_WorkflowCompatibility 0.010
## 264 B1_PE5_PosPR ~~ B1_FC2_WorkflowCompatibility 0.009
## 222 B1_PE3_IncProductivity ~~ B1_SI3_Superiors 0.008
## 361 B1_EE3_BecomeSkillful ~~ B1_EE5_TooComplicated 0.007
## 109 EE =~ B1_PE2_WriteFaster 0.007
## 169 B1_PE1_Useful ~~ B1_PE8_MoreEfficient 0.006
## 239 B1_PE4_IncPubChances ~~ B1_SI1_Peers 0.006
## 320 B1_PE9_IncQualSameEffort ~~ B1_EE3_BecomeSkillful 0.006
## 244 B1_PE4_IncPubChances ~~ B1_FC1_Knowledge 0.005
## 146 FC =~ B1_PE4_IncPubChances 0.004
## 381 B1_EE5_TooComplicated ~~ B1_SI1_Peers 0.004
## 254 B1_PE5_PosPR ~~ B1_EE3_BecomeSkillful 0.004
## 124 EE =~ B1_FC4_FitsWellWithWork 0.003
## 266 B1_PE5_PosPR ~~ B1_BehIntUse 0.003
## 232 B1_PE4_IncPubChances ~~ B1_PE9_IncQualSameEffort 0.003
## 303 B1_PE8_MoreEfficient ~~ B1_EE1_EasyToUse 0.003
## 360 B1_EE3_BecomeSkillful ~~ B1_EE4_TooMuchTime 0.002
## 224 B1_PE3_IncProductivity ~~ B1_SI5_Field 0.001
## 274 B1_PE6_EasierWrite ~~ B1_EE5_TooComplicated 0.001
## 273 B1_PE6_EasierWrite ~~ B1_EE4_TooMuchTime 0.000
## 245 B1_PE4_IncPubChances ~~ B1_FC2_WorkflowCompatibility 0.000
## 233 B1_PE4_IncPubChances ~~ B1_EE1_EasyToUse 0.000
## 207 B1_PE2_WriteFaster ~~ B1_BehIntUse 0.000
## 346 B1_EE1_EasyToUse ~~ B1_BehIntUse 0.000
## 217 B1_PE3_IncProductivity ~~ B1_EE4_TooMuchTime 0.000
## 203 B1_PE2_WriteFaster ~~ B1_SI5_Field 0.000
## 253 B1_PE5_PosPR ~~ B1_EE2_ClearUnderstandable 0.000
## epc sepc.lv sepc.all sepc.nox
## 186 0.209 0.209 0.500 0.500
## 429 0.464 0.464 0.467 0.467
## 161 0.400 0.400 0.380 0.380
## 211 -0.188 -0.188 -0.414 -0.414
## 107 0.440 0.440 0.369 0.369
## 120 0.349 0.349 0.332 0.332
## 400 0.354 0.354 0.925 0.925
## 434 0.286 0.286 0.527 0.527
## 159 0.377 0.377 0.293 0.293
## 190 -0.155 -0.155 -0.327 -0.327
## 118 0.355 0.355 0.276 0.276
## 105 -0.467 -0.467 -0.303 -0.303
## 430 -0.296 -0.296 -0.383 -0.383
## 143 0.306 0.306 0.245 0.245
## 193 0.120 0.120 0.314 0.314
## 108 0.292 0.292 0.233 0.233
## 431 -0.304 -0.304 -0.282 -0.282
## 249 0.096 0.096 0.175 0.175
## 168 0.154 0.154 0.249 0.249
## 379 0.159 0.159 0.229 0.229
## 158 -0.222 -0.222 -0.188 -0.188
## 397 -0.103 -0.103 -0.167 -0.167
## 428 0.210 0.210 0.232 0.232
## 103 0.260 0.260 0.247 0.247
## 287 -0.104 -0.104 -0.250 -0.250
## 180 0.150 0.150 0.219 0.219
## 401 -0.140 -0.140 -0.281 -0.281
## 385 -0.123 -0.123 -0.128 -0.128
## 134 0.171 0.171 0.160 0.160
## 131 0.222 0.222 0.184 0.184
## 223 -0.111 -0.111 -0.219 -0.219
## 167 -0.102 -0.102 -0.228 -0.228
## 97 0.236 0.236 0.191 0.191
## 119 -0.198 -0.198 -0.150 -0.150
## 94 0.175 0.175 0.164 0.164
## 336 -0.073 -0.073 -0.137 -0.137
## 160 -0.202 -0.202 -0.152 -0.152
## 106 -0.239 -0.239 -0.184 -0.184
## 349 0.069 0.069 0.140 0.140
## 418 -0.105 -0.105 -0.274 -0.274
## 309 -0.091 -0.091 -0.220 -0.220
## 348 -0.108 -0.108 -0.182 -0.182
## 145 -0.160 -0.160 -0.127 -0.127
## 365 -0.098 -0.098 -0.242 -0.242
## 423 0.107 0.107 0.215 0.215
## 377 -0.208 -0.208 -0.151 -0.151
## 117 -0.162 -0.162 -0.137 -0.137
## 137 0.193 0.193 0.156 0.156
## 281 -0.124 -0.124 -0.194 -0.194
## 205 -0.105 -0.105 -0.199 -0.199
## 283 0.072 0.072 0.223 0.223
## 316 0.087 0.087 0.210 0.210
## 395 0.132 0.132 0.108 0.108
## 333 0.092 0.092 0.299 0.299
## 252 -0.057 -0.057 -0.130 -0.130
## 173 0.100 0.100 0.176 0.176
## 433 -0.150 -0.150 -0.214 -0.214
## 319 -0.068 -0.068 -0.195 -0.195
## 299 0.104 0.104 0.179 0.179
## 210 0.066 0.066 0.201 0.201
## 188 -0.060 -0.060 -0.120 -0.120
## 171 -0.088 -0.088 -0.177 -0.177
## 98 -0.114 -0.114 -0.097 -0.097
## 378 -0.123 -0.123 -0.137 -0.137
## 183 0.114 0.114 0.166 0.166
## 110 -0.134 -0.134 -0.107 -0.107
## 396 0.081 0.081 0.102 0.102
## 138 -0.101 -0.101 -0.086 -0.086
## 416 0.143 0.143 0.189 0.189
## 153 -0.383 -0.383 -0.356 -0.356
## 318 0.064 0.064 0.169 0.169
## 175 0.071 0.071 0.090 0.090
## 391 -0.091 -0.091 -0.091 -0.091
## 130 -0.121 -0.121 -0.100 -0.100
## 356 0.112 0.112 0.170 0.170
## 129 0.111 0.111 0.099 0.099
## 212 -0.067 -0.067 -0.161 -0.161
## 285 0.073 0.073 0.153 0.153
## 407 -0.128 -0.128 -0.206 -0.206
## 295 0.077 0.077 0.176 0.176
## 163 -0.084 -0.084 -0.149 -0.149
## 417 0.089 0.089 0.181 0.181
## 382 0.077 0.077 0.083 0.083
## 115 0.120 0.120 0.096 0.096
## 298 0.121 0.121 0.136 0.136
## 322 -0.050 -0.050 -0.082 -0.082
## 358 -0.063 -0.063 -0.189 -0.189
## 132 -0.129 -0.129 -0.103 -0.103
## 339 -0.083 -0.083 -0.142 -0.142
## 388 0.052 0.052 0.090 0.090
## 155 0.384 0.384 0.310 0.310
## 150 0.114 0.114 0.091 0.091
## 95 -0.110 -0.110 -0.103 -0.103
## 392 0.058 0.058 0.096 0.096
## 189 0.053 0.053 0.155 0.155
## 315 -0.074 -0.074 -0.139 -0.139
## 352 0.077 0.077 0.144 0.144
## 214 0.052 0.052 0.143 0.143
## 334 -0.064 -0.064 -0.167 -0.167
## 405 -0.063 -0.063 -0.162 -0.162
## 235 0.043 0.043 0.090 0.090
## 102 -0.150 -0.150 -0.113 -0.113
## 231 -0.041 -0.041 -0.087 -0.087
## 122 0.509 0.509 0.330 0.330
## 272 -0.046 -0.046 -0.134 -0.134
## 380 0.095 0.095 0.098 0.098
## 259 0.062 0.062 0.081 0.081
## 390 -0.049 -0.049 -0.080 -0.080
## 307 0.044 0.044 0.072 0.072
## 255 -0.056 -0.056 -0.066 -0.066
## 200 -0.077 -0.077 -0.115 -0.115
## 306 0.068 0.068 0.092 0.092
## 127 -0.104 -0.104 -0.083 -0.083
## 112 -0.075 -0.075 -0.066 -0.066
## 179 -0.069 -0.069 -0.131 -0.131
## 181 -0.092 -0.092 -0.103 -0.103
## 165 0.045 0.045 0.073 0.073
## 414 -0.076 -0.076 -0.155 -0.155
## 364 0.072 0.072 0.108 0.108
## 424 0.073 0.073 0.105 0.105
## 419 -0.072 -0.072 -0.135 -0.135
## 296 0.058 0.058 0.101 0.101
## 101 0.141 0.141 0.110 0.110
## 420 0.083 0.083 0.100 0.100
## 341 0.049 0.049 0.106 0.106
## 406 -0.062 -0.062 -0.115 -0.115
## 178 0.081 0.081 0.093 0.093
## 350 -0.035 -0.035 -0.067 -0.067
## 133 0.090 0.090 0.073 0.073
## 202 -0.051 -0.051 -0.097 -0.097
## 409 -0.096 -0.096 -0.091 -0.091
## 225 -0.073 -0.073 -0.094 -0.094
## 123 -0.342 -0.342 -0.263 -0.263
## 394 0.056 0.056 0.054 0.054
## 408 0.073 0.073 0.091 0.091
## 236 0.040 0.040 0.051 0.051
## 218 -0.032 -0.032 -0.054 -0.054
## 261 0.037 0.037 0.060 0.060
## 327 0.046 0.046 0.088 0.088
## 308 -0.035 -0.035 -0.053 -0.053
## 144 -0.075 -0.075 -0.057 -0.057
## 301 -0.054 -0.054 -0.087 -0.087
## 359 -0.048 -0.048 -0.104 -0.104
## 362 0.035 0.035 0.053 0.053
## 279 -0.037 -0.037 -0.088 -0.088
## 100 -0.089 -0.089 -0.075 -0.075
## 312 0.044 0.044 0.082 0.082
## 197 -0.030 -0.030 -0.050 -0.050
## 432 -0.086 -0.086 -0.172 -0.172
## 125 0.097 0.097 0.077 0.077
## 338 0.035 0.035 0.097 0.097
## 251 -0.028 -0.028 -0.057 -0.057
## 246 -0.028 -0.028 -0.063 -0.063
## 373 0.072 0.072 0.064 0.064
## 164 -0.043 -0.043 -0.080 -0.080
## 230 0.028 0.028 0.054 0.054
## 176 -0.039 -0.039 -0.046 -0.046
## 237 -0.021 -0.021 -0.032 -0.032
## 250 0.027 0.027 0.054 0.054
## 332 0.044 0.044 0.078 0.078
## 288 0.032 0.032 0.084 0.084
## 383 -0.030 -0.030 -0.052 -0.052
## 323 0.028 0.028 0.043 0.043
## 425 -0.085 -0.085 -0.066 -0.066
## 343 -0.053 -0.053 -0.075 -0.075
## 258 0.025 0.025 0.053 0.053
## 305 -0.031 -0.031 -0.071 -0.071
## 234 0.020 0.020 0.053 0.053
## 325 -0.044 -0.044 -0.067 -0.067
## 136 -0.055 -0.055 -0.051 -0.051
## 402 -0.050 -0.050 -0.077 -0.077
## 337 0.025 0.025 0.044 0.044
## 330 -0.037 -0.037 -0.070 -0.070
## 280 -0.036 -0.036 -0.067 -0.067
## 116 -0.054 -0.054 -0.044 -0.044
## 376 0.058 0.058 0.050 0.050
## 126 -0.061 -0.061 -0.046 -0.046
## 260 -0.024 -0.024 -0.052 -0.052
## 268 0.025 0.025 0.072 0.072
## 297 0.045 0.045 0.061 0.061
## 147 -0.041 -0.041 -0.037 -0.037
## 387 -0.029 -0.029 -0.039 -0.039
## 199 0.029 0.029 0.070 0.070
## 195 0.028 0.028 0.065 0.065
## 139 -0.042 -0.042 -0.035 -0.035
## 321 0.036 0.036 0.049 0.049
## 96 0.054 0.054 0.049 0.049
## 204 -0.049 -0.049 -0.060 -0.060
## 290 -0.038 -0.038 -0.048 -0.048
## 286 0.029 0.029 0.061 0.061
## 99 -0.044 -0.044 -0.036 -0.036
## 220 0.026 0.026 0.067 0.067
## 413 0.051 0.051 0.058 0.058
## 278 -0.024 -0.024 -0.075 -0.075
## 302 0.027 0.027 0.062 0.062
## 227 -0.027 -0.027 -0.067 -0.067
## 206 -0.026 -0.026 -0.063 -0.063
## 370 0.027 0.027 0.066 0.066
## 412 0.037 0.037 0.059 0.059
## 340 0.025 0.025 0.069 0.069
## 328 -0.035 -0.035 -0.051 -0.051
## 282 0.024 0.024 0.058 0.058
## 247 -0.022 -0.022 -0.036 -0.036
## 226 -0.028 -0.028 -0.055 -0.055
## 215 -0.020 -0.020 -0.059 -0.059
## 111 0.032 0.032 0.029 0.029
## 427 0.036 0.036 0.056 0.056
## 156 0.089 0.089 0.076 0.076
## 372 0.031 0.031 0.045 0.045
## 191 -0.024 -0.024 -0.054 -0.054
## 256 0.014 0.014 0.020 0.020
## 166 0.021 0.021 0.032 0.032
## 248 -0.014 -0.014 -0.035 -0.035
## 335 0.027 0.027 0.042 0.042
## 142 0.048 0.048 0.040 0.040
## 149 0.040 0.040 0.033 0.033
## 293 -0.022 -0.022 -0.049 -0.049
## 241 0.016 0.016 0.037 0.037
## 375 -0.031 -0.031 -0.035 -0.035
## 170 -0.025 -0.025 -0.044 -0.044
## 410 0.052 0.052 0.042 0.042
## 367 0.030 0.030 0.044 0.044
## 404 -0.025 -0.025 -0.051 -0.051
## 357 -0.023 -0.023 -0.053 -0.053
## 192 -0.020 -0.020 -0.046 -0.046
## 324 0.019 0.019 0.047 0.047
## 374 -0.028 -0.028 -0.041 -0.041
## 275 0.014 0.014 0.027 0.027
## 304 0.017 0.017 0.047 0.047
## 140 -0.061 -0.061 -0.039 -0.039
## 326 0.019 0.019 0.049 0.049
## 289 -0.019 -0.019 -0.041 -0.041
## 329 0.031 0.031 0.038 0.038
## 294 -0.027 -0.027 -0.037 -0.037
## 291 0.015 0.015 0.023 0.023
## 194 -0.015 -0.015 -0.043 -0.043
## 154 0.090 0.090 0.083 0.083
## 314 -0.030 -0.030 -0.037 -0.037
## 262 0.019 0.019 0.024 0.024
## 209 -0.012 -0.012 -0.025 -0.025
## 317 0.021 0.021 0.036 0.036
## 184 -0.021 -0.021 -0.038 -0.038
## 229 -0.010 -0.010 -0.026 -0.026
## 342 -0.022 -0.022 -0.036 -0.036
## 182 0.035 0.035 0.033 0.033
## 151 -0.029 -0.029 -0.023 -0.023
## 238 -0.010 -0.010 -0.014 -0.014
## 135 -0.025 -0.025 -0.024 -0.024
## 354 -0.015 -0.015 -0.036 -0.036
## 172 0.016 0.016 0.036 0.036
## 196 -0.020 -0.020 -0.027 -0.027
## 114 -0.029 -0.029 -0.024 -0.024
## 284 -0.015 -0.015 -0.034 -0.034
## 228 0.018 0.018 0.033 0.033
## 185 0.023 0.023 0.031 0.031
## 242 -0.012 -0.012 -0.021 -0.021
## 257 0.010 0.010 0.013 0.013
## 267 -0.013 -0.013 -0.034 -0.034
## 265 0.011 0.011 0.024 0.024
## 162 0.035 0.035 0.028 0.028
## 187 0.009 0.009 0.020 0.020
## 426 -0.023 -0.023 -0.028 -0.028
## 240 -0.013 -0.013 -0.018 -0.018
## 415 0.022 0.022 0.035 0.035
## 386 0.017 0.017 0.015 0.015
## 201 0.013 0.013 0.032 0.032
## 263 0.016 0.016 0.017 0.017
## 384 0.011 0.011 0.015 0.015
## 121 -0.028 -0.028 -0.023 -0.023
## 399 0.018 0.018 0.028 0.028
## 393 -0.010 -0.010 -0.013 -0.013
## 269 -0.008 -0.008 -0.025 -0.025
## 152 0.050 0.050 0.047 0.047
## 411 0.017 0.017 0.021 0.021
## 141 -0.022 -0.022 -0.017 -0.017
## 331 0.009 0.009 0.021 0.021
## 213 0.008 0.008 0.020 0.020
## 422 -0.012 -0.012 -0.019 -0.019
## 398 0.009 0.009 0.011 0.011
## 300 -0.009 -0.009 -0.020 -0.020
## 310 0.012 0.012 0.018 0.018
## 128 0.012 0.012 0.011 0.011
## 345 -0.008 -0.008 -0.023 -0.023
## 208 -0.006 -0.006 -0.012 -0.012
## 104 -0.024 -0.024 -0.019 -0.019
## 363 0.008 0.008 0.020 0.020
## 174 0.013 0.013 0.013 0.013
## 157 -0.032 -0.032 -0.026 -0.026
## 366 0.009 0.009 0.016 0.016
## 221 0.010 0.010 0.016 0.016
## 148 0.011 0.011 0.009 0.009
## 347 -0.008 -0.008 -0.022 -0.022
## 276 0.006 0.006 0.018 0.018
## 355 0.009 0.009 0.016 0.016
## 421 0.014 0.014 0.014 0.014
## 216 0.007 0.007 0.016 0.016
## 277 -0.008 -0.008 -0.015 -0.015
## 271 -0.004 -0.004 -0.016 -0.016
## 292 -0.006 -0.006 -0.008 -0.008
## 243 0.006 0.006 0.009 0.009
## 368 0.011 0.011 0.013 0.013
## 351 0.005 0.005 0.015 0.015
## 344 0.007 0.007 0.015 0.015
## 389 0.006 0.006 0.007 0.007
## 353 -0.005 -0.005 -0.016 -0.016
## 113 -0.008 -0.008 -0.007 -0.007
## 219 -0.004 -0.004 -0.007 -0.007
## 313 0.008 0.008 0.011 0.011
## 403 -0.010 -0.010 -0.012 -0.012
## 270 -0.004 -0.004 -0.012 -0.012
## 198 0.004 0.004 0.006 0.006
## 371 0.006 0.006 0.010 0.010
## 177 0.005 0.005 0.009 0.009
## 311 -0.004 -0.004 -0.010 -0.010
## 369 -0.005 -0.005 -0.009 -0.009
## 264 0.003 0.003 0.005 0.005
## 222 -0.003 -0.003 -0.009 -0.009
## 361 -0.003 -0.003 -0.004 -0.004
## 109 0.006 0.006 0.004 0.004
## 169 0.004 0.004 0.006 0.006
## 239 0.002 0.002 0.005 0.005
## 320 0.003 0.003 0.006 0.006
## 244 0.003 0.003 0.004 0.004
## 146 0.003 0.003 0.003 0.003
## 381 0.002 0.002 0.003 0.003
## 254 0.002 0.002 0.004 0.004
## 124 -0.017 -0.017 -0.014 -0.014
## 266 0.002 0.002 0.003 0.003
## 232 0.001 0.001 0.003 0.003
## 303 -0.002 -0.002 -0.005 -0.005
## 360 -0.002 -0.002 -0.003 -0.003
## 224 -0.002 -0.002 -0.003 -0.003
## 274 0.001 0.001 0.001 0.001
## 273 -0.001 -0.001 -0.001 -0.001
## 245 0.001 0.001 0.001 0.001
## 233 0.000 0.000 -0.001 -0.001
## 207 -0.001 -0.001 -0.001 -0.001
## 346 0.000 0.000 0.001 0.001
## 217 0.000 0.000 0.001 0.001
## 203 0.000 0.000 0.000 0.000
## 253 0.000 0.000 0.000 0.000B1model3factor <-
'PE =~ B1_PE1_Useful + B1_PE2_WriteFaster + B1_PE3_IncProductivity + B1_PE4_IncPubChances + B1_PE5_PosPR + B1_PE6_EasierWrite + B1_PE7_ImproveQuality + B1_PE8_MoreEfficient + B1_PE9_IncQualSameEffort
EEFC=~ B1_EE1_EasyToUse + B1_EE2_ClearUnderstandable + B1_EE3_BecomeSkillful + B1_EE4_TooMuchTime + B1_EE5_TooComplicated + B1_EE6_TooLongToLearn + B1_FC1_Knowledge + B1_FC2_WorkflowCompatibility + B1_FC4_FitsWellWithWork
SI=~ B1_SI1_Peers + B1_SI2_ResClimate + B1_SI3_Superiors + B1_SI4_Journals + B1_SI5_Field
B1_BehIntUse ~ PE + EEFC + SI
'
#fit the model
fitB1.3fac <- cfa(model = B1model3factor,
data = B1likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", sample.cov = TRUE)
#display the summary output
summary(fitB1.3fac, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 25 iterations
##
## Optimization method NLMINB
## Number of free parameters 77
##
## Number of observations 195
##
## Estimator ML Robust
## Model Fit Test Statistic 931.782 779.617
## Degrees of freedom 247 247
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.195
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3941.031 2783.772
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.813 0.788
## Tucker-Lewis Index (TLI) 0.791 0.763
##
## Robust Comparative Fit Index (CFI) 0.821
## Robust Tucker-Lewis Index (TLI) 0.800
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -6051.438 -6051.438
## Loglikelihood unrestricted model (H1) -5585.547 -5585.547
##
## Number of free parameters 77 77
## Akaike (AIC) 12256.876 12256.876
## Bayesian (BIC) 12508.897 12508.897
## Sample-size adjusted Bayesian (BIC) 12264.973 12264.973
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.119 0.105
## 90 Percent Confidence Interval 0.111 0.127 0.098 0.113
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.115
## 90 Percent Confidence Interval 0.106 0.124
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.089 0.089
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B1_PE1_Useful 0.922 0.092 10.013 0.000 0.922 0.736
## B1_PE2_WrtFstr 1.136 0.078 14.616 0.000 1.136 0.855
## B1_PE3_IncPrdc 1.078 0.073 14.823 0.000 1.078 0.855
## B1_PE4_IncPbCh 0.882 0.078 11.345 0.000 0.882 0.797
## B1_PE5_PosPR 0.871 0.086 10.136 0.000 0.871 0.773
## B1_PE6_EasrWrt 1.080 0.072 14.983 0.000 1.080 0.895
## B1_PE7_ImprvQl 0.989 0.082 12.020 0.000 0.989 0.820
## B1_PE8_MrEffcn 1.057 0.081 12.996 0.000 1.057 0.845
## B1_PE9_IncQlSE 1.044 0.082 12.771 0.000 1.044 0.844
## EEFC =~
## B1_EE1_EasyTUs 0.853 0.069 12.424 0.000 0.853 0.797
## B1_EE2_ClrUndr 0.888 0.065 13.648 0.000 0.888 0.826
## B1_EE3_BcmSkll 0.850 0.071 12.057 0.000 0.850 0.781
## B1_EE4_ToMchTm 0.656 0.095 6.922 0.000 0.656 0.529
## B1_EE5_TCmplct 0.830 0.075 11.084 0.000 0.830 0.705
## B1_EE6_TLngTLr 0.796 0.080 9.899 0.000 0.796 0.662
## B1_FC1_Knowldg 0.925 0.097 9.492 0.000 0.925 0.599
## B1_FC2_WrkflwC 0.951 0.083 11.401 0.000 0.951 0.732
## B1_FC4_FtsWlWW 0.953 0.068 13.976 0.000 0.953 0.800
## SI =~
## B1_SI1_Peers 1.001 0.075 13.332 0.000 1.001 0.850
## B1_SI2_ResClmt 0.800 0.095 8.389 0.000 0.800 0.621
## B1_SI3_Superrs 1.174 0.072 16.356 0.000 1.174 0.886
## B1_SI4_Journls 0.682 0.081 8.436 0.000 0.682 0.648
## B1_SI5_Field 0.652 0.092 7.122 0.000 0.652 0.531
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1_BehIntUse ~
## PE 0.483 0.117 4.116 0.000 0.483 0.355
## EEFC 0.518 0.107 4.833 0.000 0.518 0.380
## SI 0.189 0.097 1.938 0.053 0.189 0.139
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EEFC 0.552 0.065 8.432 0.000 0.552 0.552
## SI 0.663 0.053 12.527 0.000 0.663 0.663
## EEFC ~~
## SI 0.438 0.069 6.322 0.000 0.438 0.438
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 5.205 0.090 58.043 0.000 5.205 4.157
## .B1_PE2_WrtFstr 4.626 0.095 48.656 0.000 4.626 3.484
## .B1_PE3_IncPrdc 4.374 0.090 48.473 0.000 4.374 3.471
## .B1_PE4_IncPbCh 4.974 0.079 62.761 0.000 4.974 4.494
## .B1_PE5_PosPR 4.887 0.081 60.574 0.000 4.887 4.338
## .B1_PE6_EasrWrt 4.738 0.086 54.862 0.000 4.738 3.929
## .B1_PE7_ImprvQl 5.103 0.086 59.048 0.000 5.103 4.228
## .B1_PE8_MrEffcn 4.815 0.090 53.736 0.000 4.815 3.848
## .B1_PE9_IncQlSE 4.651 0.089 52.516 0.000 4.651 3.761
## .B1_EE1_EasyTUs 4.800 0.077 62.651 0.000 4.800 4.487
## .B1_EE2_ClrUndr 5.185 0.077 67.347 0.000 5.185 4.823
## .B1_EE3_BcmSkll 4.985 0.078 63.959 0.000 4.985 4.580
## .B1_EE4_ToMchTm 4.200 0.089 47.348 0.000 4.200 3.391
## .B1_EE5_TCmplct 4.933 0.084 58.531 0.000 4.933 4.191
## .B1_EE6_TLngTLr 4.708 0.086 54.633 0.000 4.708 3.912
## .B1_FC1_Knowldg 4.518 0.111 40.869 0.000 4.518 2.927
## .B1_FC2_WrkflwC 4.728 0.093 50.863 0.000 4.728 3.642
## .B1_FC4_FtsWlWW 4.785 0.085 56.063 0.000 4.785 4.015
## .B1_SI1_Peers 4.015 0.084 47.568 0.000 4.015 3.406
## .B1_SI2_ResClmt 4.692 0.092 50.870 0.000 4.692 3.643
## .B1_SI3_Superrs 3.867 0.095 40.740 0.000 3.867 2.917
## .B1_SI4_Journls 4.990 0.075 66.207 0.000 4.990 4.741
## .B1_SI5_Field 3.908 0.088 44.415 0.000 3.908 3.181
## .B1_BehIntUse 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 0.718 0.149 4.828 0.000 0.718 0.458
## .B1_PE2_WrtFstr 0.473 0.074 6.389 0.000 0.473 0.268
## .B1_PE3_IncPrdc 0.426 0.053 8.093 0.000 0.426 0.268
## .B1_PE4_IncPbCh 0.446 0.057 7.819 0.000 0.446 0.364
## .B1_PE5_PosPR 0.511 0.065 7.850 0.000 0.511 0.402
## .B1_PE6_EasrWrt 0.289 0.044 6.638 0.000 0.289 0.199
## .B1_PE7_ImprvQl 0.477 0.070 6.829 0.000 0.477 0.328
## .B1_PE8_MrEffcn 0.449 0.080 5.577 0.000 0.449 0.287
## .B1_PE9_IncQlSE 0.440 0.055 7.981 0.000 0.440 0.288
## .B1_EE1_EasyTUs 0.417 0.052 8.023 0.000 0.417 0.364
## .B1_EE2_ClrUndr 0.368 0.048 7.589 0.000 0.368 0.318
## .B1_EE3_BcmSkll 0.461 0.056 8.305 0.000 0.461 0.389
## .B1_EE4_ToMchTm 1.104 0.127 8.710 0.000 1.104 0.720
## .B1_EE5_TCmplct 0.697 0.115 6.068 0.000 0.697 0.503
## .B1_EE6_TLngTLr 0.814 0.111 7.343 0.000 0.814 0.562
## .B1_FC1_Knowldg 1.528 0.155 9.831 0.000 1.528 0.641
## .B1_FC2_WrkflwC 0.781 0.117 6.682 0.000 0.781 0.464
## .B1_FC4_FtsWlWW 0.512 0.067 7.648 0.000 0.512 0.360
## .B1_SI1_Peers 0.387 0.054 7.183 0.000 0.387 0.278
## .B1_SI2_ResClmt 1.019 0.119 8.598 0.000 1.019 0.614
## .B1_SI3_Superrs 0.377 0.072 5.272 0.000 0.377 0.215
## .B1_SI4_Journls 0.642 0.072 8.963 0.000 0.642 0.580
## .B1_SI5_Field 1.084 0.135 8.027 0.000 1.084 0.718
## .B1_BehIntUse 0.835 0.085 9.843 0.000 0.835 0.450
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B1_PE1_Useful 0.542
## B1_PE2_WrtFstr 0.732
## B1_PE3_IncPrdc 0.732
## B1_PE4_IncPbCh 0.636
## B1_PE5_PosPR 0.598
## B1_PE6_EasrWrt 0.801
## B1_PE7_ImprvQl 0.672
## B1_PE8_MrEffcn 0.713
## B1_PE9_IncQlSE 0.712
## B1_EE1_EasyTUs 0.636
## B1_EE2_ClrUndr 0.682
## B1_EE3_BcmSkll 0.611
## B1_EE4_ToMchTm 0.280
## B1_EE5_TCmplct 0.497
## B1_EE6_TLngTLr 0.438
## B1_FC1_Knowldg 0.359
## B1_FC2_WrkflwC 0.536
## B1_FC4_FtsWlWW 0.640
## B1_SI1_Peers 0.722
## B1_SI2_ResClmt 0.386
## B1_SI3_Superrs 0.785
## B1_SI4_Journls 0.420
## B1_SI5_Field 0.282
## B1_BehIntUse 0.550B1model3factor2 <-
'PE =~ B1_PE1_Useful + B1_PE2_WriteFaster + B1_PE3_IncProductivity + B1_PE4_IncPubChances + B1_PE5_PosPR + B1_PE6_EasierWrite + B1_PE7_ImproveQuality + B1_PE8_MoreEfficient + B1_PE9_IncQualSameEffort
EEFC=~ B1_EE1_EasyToUse + B1_EE2_ClearUnderstandable + B1_EE3_BecomeSkillful + B1_EE4_TooMuchTime + B1_EE5_TooComplicated + B1_EE6_TooLongToLearn + B1_FC1_Knowledge + B1_FC2_WorkflowCompatibility + B1_FC4_FitsWellWithWork
SI=~ B1_SI1_Peers + B1_SI2_ResClimate + B1_SI3_Superiors + B1_SI4_Journals + B1_SI5_Field
B1_BehIntUse ~ PE + EEFC + SI
B1_EE5_TooComplicated ~~ B1_EE6_TooLongToLearn
B1_EE5_TooComplicated ~~ B1_EE4_TooMuchTime
B1_EE4_TooMuchTime ~~ B1_EE6_TooLongToLearn
B1_PE4_IncPubChances ~~ B1_PE5_PosPR
'
#fit the model
fitB1.3fac2mod <- cfa(model = B1model3factor2,
data = B1likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM")
#display the summary output
summary(fitB1.3fac2mod, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 37 iterations
##
## Optimization method NLMINB
## Number of free parameters 81
##
## Number of observations 195
##
## Estimator ML Robust
## Model Fit Test Statistic 601.122 513.034
## Degrees of freedom 243 243
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.172
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3941.031 2783.772
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.902 0.892
## Tucker-Lewis Index (TLI) 0.889 0.878
##
## Robust Comparative Fit Index (CFI) 0.911
## Robust Tucker-Lewis Index (TLI) 0.899
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -5886.108 -5886.108
## Loglikelihood unrestricted model (H1) -5585.547 -5585.547
##
## Number of free parameters 81 81
## Akaike (AIC) 11934.217 11934.217
## Bayesian (BIC) 12199.330 12199.330
## Sample-size adjusted Bayesian (BIC) 11942.734 11942.734
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.087 0.075
## 90 Percent Confidence Interval 0.078 0.096 0.067 0.084
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.082
## 90 Percent Confidence Interval 0.072 0.092
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.078 0.078
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B1_PE1_Useful 0.912 0.094 9.715 0.000 0.912 0.728
## B1_PE2_WrtFstr 1.151 0.078 14.764 0.000 1.151 0.867
## B1_PE3_IncPrdc 1.089 0.073 14.994 0.000 1.089 0.864
## B1_PE4_IncPbCh 0.847 0.079 10.668 0.000 0.847 0.766
## B1_PE5_PosPR 0.831 0.088 9.436 0.000 0.831 0.737
## B1_PE6_EasrWrt 1.090 0.072 15.189 0.000 1.090 0.904
## B1_PE7_ImprvQl 0.971 0.084 11.582 0.000 0.971 0.805
## B1_PE8_MrEffcn 1.062 0.081 13.060 0.000 1.062 0.849
## B1_PE9_IncQlSE 1.051 0.082 12.828 0.000 1.051 0.850
## EEFC =~
## B1_EE1_EasyTUs 0.882 0.067 13.211 0.000 0.882 0.824
## B1_EE2_ClrUndr 0.904 0.065 13.901 0.000 0.904 0.841
## B1_EE3_BcmSkll 0.852 0.071 11.999 0.000 0.852 0.783
## B1_EE4_ToMchTm 0.560 0.104 5.376 0.000 0.560 0.452
## B1_EE5_TCmplct 0.738 0.086 8.628 0.000 0.738 0.627
## B1_EE6_TLngTLr 0.693 0.091 7.610 0.000 0.693 0.576
## B1_FC1_Knowldg 0.915 0.099 9.255 0.000 0.915 0.593
## B1_FC2_WrkflwC 0.963 0.084 11.451 0.000 0.963 0.742
## B1_FC4_FtsWlWW 0.962 0.069 13.944 0.000 0.962 0.807
## SI =~
## B1_SI1_Peers 1.001 0.075 13.330 0.000 1.001 0.849
## B1_SI2_ResClmt 0.800 0.095 8.404 0.000 0.800 0.621
## B1_SI3_Superrs 1.175 0.072 16.353 0.000 1.175 0.886
## B1_SI4_Journls 0.682 0.081 8.431 0.000 0.682 0.648
## B1_SI5_Field 0.652 0.092 7.113 0.000 0.652 0.531
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1_BehIntUse ~
## PE 0.485 0.120 4.049 0.000 0.485 0.356
## EEFC 0.506 0.113 4.475 0.000 0.506 0.372
## SI 0.183 0.097 1.893 0.058 0.183 0.134
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv
## .B1_EE5_TooComplicated ~~
## .B1_EE6_TLngTLr 0.690 0.124 5.571 0.000 0.690
## .B1_EE4_TooMuchTime ~~
## .B1_EE5_TCmplct 0.513 0.120 4.266 0.000 0.513
## .B1_EE6_TLngTLr 0.517 0.115 4.488 0.000 0.517
## .B1_PE4_IncPubChances ~~
## .B1_PE5_PosPR 0.375 0.065 5.782 0.000 0.375
## PE ~~
## EEFC 0.582 0.063 9.223 0.000 0.582
## SI 0.652 0.055 11.865 0.000 0.652
## EEFC ~~
## SI 0.467 0.067 6.986 0.000 0.467
## Std.all
##
## 0.765
##
## 0.506
## 0.475
##
## 0.693
##
## 0.582
## 0.652
##
## 0.467
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 5.205 0.090 58.043 0.000 5.205 4.157
## .B1_PE2_WrtFstr 4.626 0.095 48.656 0.000 4.626 3.484
## .B1_PE3_IncPrdc 4.374 0.090 48.473 0.000 4.374 3.471
## .B1_PE4_IncPbCh 4.974 0.079 62.761 0.000 4.974 4.494
## .B1_PE5_PosPR 4.887 0.081 60.574 0.000 4.887 4.338
## .B1_PE6_EasrWrt 4.738 0.086 54.862 0.000 4.738 3.929
## .B1_PE7_ImprvQl 5.103 0.086 59.048 0.000 5.103 4.228
## .B1_PE8_MrEffcn 4.815 0.090 53.736 0.000 4.815 3.848
## .B1_PE9_IncQlSE 4.651 0.089 52.516 0.000 4.651 3.761
## .B1_EE1_EasyTUs 4.800 0.077 62.651 0.000 4.800 4.487
## .B1_EE2_ClrUndr 5.185 0.077 67.347 0.000 5.185 4.823
## .B1_EE3_BcmSkll 4.985 0.078 63.959 0.000 4.985 4.580
## .B1_EE4_ToMchTm 4.200 0.089 47.348 0.000 4.200 3.391
## .B1_EE5_TCmplct 4.933 0.084 58.531 0.000 4.933 4.191
## .B1_EE6_TLngTLr 4.708 0.086 54.633 0.000 4.708 3.912
## .B1_FC1_Knowldg 4.518 0.111 40.869 0.000 4.518 2.927
## .B1_FC2_WrkflwC 4.728 0.093 50.863 0.000 4.728 3.642
## .B1_FC4_FtsWlWW 4.785 0.085 56.063 0.000 4.785 4.015
## .B1_SI1_Peers 4.015 0.084 47.568 0.000 4.015 3.406
## .B1_SI2_ResClmt 4.692 0.092 50.870 0.000 4.692 3.643
## .B1_SI3_Superrs 3.867 0.095 40.740 0.000 3.867 2.917
## .B1_SI4_Journls 4.990 0.075 66.207 0.000 4.990 4.741
## .B1_SI5_Field 3.908 0.088 44.415 0.000 3.908 3.181
## .B1_BehIntUse 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 0.736 0.156 4.721 0.000 0.736 0.469
## .B1_PE2_WrtFstr 0.438 0.074 5.933 0.000 0.438 0.248
## .B1_PE3_IncPrdc 0.402 0.052 7.787 0.000 0.402 0.253
## .B1_PE4_IncPbCh 0.507 0.066 7.695 0.000 0.507 0.414
## .B1_PE5_PosPR 0.580 0.073 7.917 0.000 0.580 0.457
## .B1_PE6_EasrWrt 0.267 0.041 6.491 0.000 0.267 0.184
## .B1_PE7_ImprvQl 0.513 0.079 6.528 0.000 0.513 0.352
## .B1_PE8_MrEffcn 0.437 0.079 5.532 0.000 0.437 0.279
## .B1_PE9_IncQlSE 0.425 0.055 7.713 0.000 0.425 0.278
## .B1_EE1_EasyTUs 0.367 0.048 7.603 0.000 0.367 0.321
## .B1_EE2_ClrUndr 0.338 0.047 7.152 0.000 0.338 0.292
## .B1_EE3_BcmSkll 0.458 0.056 8.108 0.000 0.458 0.386
## .B1_EE4_ToMchTm 1.221 0.136 8.991 0.000 1.221 0.796
## .B1_EE5_TCmplct 0.841 0.133 6.322 0.000 0.841 0.607
## .B1_EE6_TLngTLr 0.968 0.127 7.598 0.000 0.968 0.669
## .B1_FC1_Knowldg 1.546 0.156 9.934 0.000 1.546 0.649
## .B1_FC2_WrkflwC 0.758 0.115 6.608 0.000 0.758 0.450
## .B1_FC4_FtsWlWW 0.495 0.070 7.030 0.000 0.495 0.349
## .B1_SI1_Peers 0.387 0.054 7.158 0.000 0.387 0.279
## .B1_SI2_ResClmt 1.019 0.118 8.598 0.000 1.019 0.614
## .B1_SI3_Superrs 0.376 0.072 5.226 0.000 0.376 0.214
## .B1_SI4_Journls 0.642 0.072 8.951 0.000 0.642 0.580
## .B1_SI5_Field 1.084 0.135 8.016 0.000 1.084 0.718
## .B1_BehIntUse 0.842 0.086 9.769 0.000 0.842 0.454
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B1_PE1_Useful 0.531
## B1_PE2_WrtFstr 0.752
## B1_PE3_IncPrdc 0.747
## B1_PE4_IncPbCh 0.586
## B1_PE5_PosPR 0.543
## B1_PE6_EasrWrt 0.816
## B1_PE7_ImprvQl 0.648
## B1_PE8_MrEffcn 0.721
## B1_PE9_IncQlSE 0.722
## B1_EE1_EasyTUs 0.679
## B1_EE2_ClrUndr 0.708
## B1_EE3_BcmSkll 0.614
## B1_EE4_ToMchTm 0.204
## B1_EE5_TCmplct 0.393
## B1_EE6_TLngTLr 0.331
## B1_FC1_Knowldg 0.351
## B1_FC2_WrkflwC 0.550
## B1_FC4_FtsWlWW 0.651
## B1_SI1_Peers 0.721
## B1_SI2_ResClmt 0.386
## B1_SI3_Superrs 0.786
## B1_SI4_Journls 0.420
## B1_SI5_Field 0.282
## B1_BehIntUse 0.546B1model3factor2 <-
'PE =~ B1_PE1_Useful + B1_PE2_WriteFaster + B1_PE3_IncProductivity + B1_PE4_IncPubChances + B1_PE5_PosPR + B1_PE6_EasierWrite + B1_PE7_ImproveQuality + B1_PE8_MoreEfficient + B1_PE9_IncQualSameEffort
EEFC=~ B1_EE1_EasyToUse + B1_EE2_ClearUnderstandable + B1_EE3_BecomeSkillful + B1_EE4_TooMuchTime + B1_EE5_TooComplicated + B1_EE6_TooLongToLearn + B1_FC1_Knowledge + B1_FC2_WorkflowCompatibility + B1_FC4_FitsWellWithWork
SI=~ B1_SI1_Peers + B1_SI2_ResClimate + B1_SI3_Superiors + B1_SI4_Journals + B1_SI5_Field
B1_BehIntUse ~ PE + EEFC + SI
'
#fit the model
fitB1.3fac2mod <- cfa(model = B1model3factor2,
data = B1likert, std.lv = TRUE, meanstructure = TRUE, estimator = "MLM")
#display the summary output
summary(fitB1.3fac2mod, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 25 iterations
##
## Optimization method NLMINB
## Number of free parameters 77
##
## Number of observations 195
##
## Estimator ML Robust
## Model Fit Test Statistic 931.782 779.617
## Degrees of freedom 247 247
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.195
## for the Satorra-Bentler correction
##
## Model test baseline model:
##
## Minimum Function Test Statistic 3941.031 2783.772
## Degrees of freedom 276 276
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.813 0.788
## Tucker-Lewis Index (TLI) 0.791 0.763
##
## Robust Comparative Fit Index (CFI) 0.821
## Robust Tucker-Lewis Index (TLI) 0.800
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -6051.438 -6051.438
## Loglikelihood unrestricted model (H1) -5585.547 -5585.547
##
## Number of free parameters 77 77
## Akaike (AIC) 12256.876 12256.876
## Bayesian (BIC) 12508.897 12508.897
## Sample-size adjusted Bayesian (BIC) 12264.973 12264.973
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.119 0.105
## 90 Percent Confidence Interval 0.111 0.127 0.098 0.113
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.115
## 90 Percent Confidence Interval 0.106 0.124
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.089 0.089
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## B1_PE1_Useful 0.922 0.092 10.013 0.000 0.922 0.736
## B1_PE2_WrtFstr 1.136 0.078 14.616 0.000 1.136 0.855
## B1_PE3_IncPrdc 1.078 0.073 14.823 0.000 1.078 0.855
## B1_PE4_IncPbCh 0.882 0.078 11.345 0.000 0.882 0.797
## B1_PE5_PosPR 0.871 0.086 10.136 0.000 0.871 0.773
## B1_PE6_EasrWrt 1.080 0.072 14.983 0.000 1.080 0.895
## B1_PE7_ImprvQl 0.989 0.082 12.020 0.000 0.989 0.820
## B1_PE8_MrEffcn 1.057 0.081 12.996 0.000 1.057 0.845
## B1_PE9_IncQlSE 1.044 0.082 12.771 0.000 1.044 0.844
## EEFC =~
## B1_EE1_EasyTUs 0.853 0.069 12.424 0.000 0.853 0.797
## B1_EE2_ClrUndr 0.888 0.065 13.648 0.000 0.888 0.826
## B1_EE3_BcmSkll 0.850 0.071 12.057 0.000 0.850 0.781
## B1_EE4_ToMchTm 0.656 0.095 6.922 0.000 0.656 0.529
## B1_EE5_TCmplct 0.830 0.075 11.084 0.000 0.830 0.705
## B1_EE6_TLngTLr 0.796 0.080 9.899 0.000 0.796 0.662
## B1_FC1_Knowldg 0.925 0.097 9.492 0.000 0.925 0.599
## B1_FC2_WrkflwC 0.951 0.083 11.401 0.000 0.951 0.732
## B1_FC4_FtsWlWW 0.953 0.068 13.976 0.000 0.953 0.800
## SI =~
## B1_SI1_Peers 1.001 0.075 13.332 0.000 1.001 0.850
## B1_SI2_ResClmt 0.800 0.095 8.389 0.000 0.800 0.621
## B1_SI3_Superrs 1.174 0.072 16.356 0.000 1.174 0.886
## B1_SI4_Journls 0.682 0.081 8.436 0.000 0.682 0.648
## B1_SI5_Field 0.652 0.092 7.122 0.000 0.652 0.531
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1_BehIntUse ~
## PE 0.483 0.117 4.116 0.000 0.483 0.355
## EEFC 0.518 0.107 4.833 0.000 0.518 0.380
## SI 0.189 0.097 1.938 0.053 0.189 0.139
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## EEFC 0.552 0.065 8.432 0.000 0.552 0.552
## SI 0.663 0.053 12.527 0.000 0.663 0.663
## EEFC ~~
## SI 0.438 0.069 6.322 0.000 0.438 0.438
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 5.205 0.090 58.043 0.000 5.205 4.157
## .B1_PE2_WrtFstr 4.626 0.095 48.656 0.000 4.626 3.484
## .B1_PE3_IncPrdc 4.374 0.090 48.473 0.000 4.374 3.471
## .B1_PE4_IncPbCh 4.974 0.079 62.761 0.000 4.974 4.494
## .B1_PE5_PosPR 4.887 0.081 60.574 0.000 4.887 4.338
## .B1_PE6_EasrWrt 4.738 0.086 54.862 0.000 4.738 3.929
## .B1_PE7_ImprvQl 5.103 0.086 59.048 0.000 5.103 4.228
## .B1_PE8_MrEffcn 4.815 0.090 53.736 0.000 4.815 3.848
## .B1_PE9_IncQlSE 4.651 0.089 52.516 0.000 4.651 3.761
## .B1_EE1_EasyTUs 4.800 0.077 62.651 0.000 4.800 4.487
## .B1_EE2_ClrUndr 5.185 0.077 67.347 0.000 5.185 4.823
## .B1_EE3_BcmSkll 4.985 0.078 63.959 0.000 4.985 4.580
## .B1_EE4_ToMchTm 4.200 0.089 47.348 0.000 4.200 3.391
## .B1_EE5_TCmplct 4.933 0.084 58.531 0.000 4.933 4.191
## .B1_EE6_TLngTLr 4.708 0.086 54.633 0.000 4.708 3.912
## .B1_FC1_Knowldg 4.518 0.111 40.869 0.000 4.518 2.927
## .B1_FC2_WrkflwC 4.728 0.093 50.863 0.000 4.728 3.642
## .B1_FC4_FtsWlWW 4.785 0.085 56.063 0.000 4.785 4.015
## .B1_SI1_Peers 4.015 0.084 47.568 0.000 4.015 3.406
## .B1_SI2_ResClmt 4.692 0.092 50.870 0.000 4.692 3.643
## .B1_SI3_Superrs 3.867 0.095 40.740 0.000 3.867 2.917
## .B1_SI4_Journls 4.990 0.075 66.207 0.000 4.990 4.741
## .B1_SI5_Field 3.908 0.088 44.415 0.000 3.908 3.181
## .B1_BehIntUse 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
## SI 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .B1_PE1_Useful 0.718 0.149 4.828 0.000 0.718 0.458
## .B1_PE2_WrtFstr 0.473 0.074 6.389 0.000 0.473 0.268
## .B1_PE3_IncPrdc 0.426 0.053 8.093 0.000 0.426 0.268
## .B1_PE4_IncPbCh 0.446 0.057 7.819 0.000 0.446 0.364
## .B1_PE5_PosPR 0.511 0.065 7.850 0.000 0.511 0.402
## .B1_PE6_EasrWrt 0.289 0.044 6.638 0.000 0.289 0.199
## .B1_PE7_ImprvQl 0.477 0.070 6.829 0.000 0.477 0.328
## .B1_PE8_MrEffcn 0.449 0.080 5.577 0.000 0.449 0.287
## .B1_PE9_IncQlSE 0.440 0.055 7.981 0.000 0.440 0.288
## .B1_EE1_EasyTUs 0.417 0.052 8.023 0.000 0.417 0.364
## .B1_EE2_ClrUndr 0.368 0.048 7.589 0.000 0.368 0.318
## .B1_EE3_BcmSkll 0.461 0.056 8.305 0.000 0.461 0.389
## .B1_EE4_ToMchTm 1.104 0.127 8.710 0.000 1.104 0.720
## .B1_EE5_TCmplct 0.697 0.115 6.068 0.000 0.697 0.503
## .B1_EE6_TLngTLr 0.814 0.111 7.343 0.000 0.814 0.562
## .B1_FC1_Knowldg 1.528 0.155 9.831 0.000 1.528 0.641
## .B1_FC2_WrkflwC 0.781 0.117 6.682 0.000 0.781 0.464
## .B1_FC4_FtsWlWW 0.512 0.067 7.648 0.000 0.512 0.360
## .B1_SI1_Peers 0.387 0.054 7.183 0.000 0.387 0.278
## .B1_SI2_ResClmt 1.019 0.119 8.598 0.000 1.019 0.614
## .B1_SI3_Superrs 0.377 0.072 5.272 0.000 0.377 0.215
## .B1_SI4_Journls 0.642 0.072 8.963 0.000 0.642 0.580
## .B1_SI5_Field 1.084 0.135 8.027 0.000 1.084 0.718
## .B1_BehIntUse 0.835 0.085 9.843 0.000 0.835 0.450
## PE 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
## SI 1.000 1.000 1.000
##
## R-Square:
## Estimate
## B1_PE1_Useful 0.542
## B1_PE2_WrtFstr 0.732
## B1_PE3_IncPrdc 0.732
## B1_PE4_IncPbCh 0.636
## B1_PE5_PosPR 0.598
## B1_PE6_EasrWrt 0.801
## B1_PE7_ImprvQl 0.672
## B1_PE8_MrEffcn 0.713
## B1_PE9_IncQlSE 0.712
## B1_EE1_EasyTUs 0.636
## B1_EE2_ClrUndr 0.682
## B1_EE3_BcmSkll 0.611
## B1_EE4_ToMchTm 0.280
## B1_EE5_TCmplct 0.497
## B1_EE6_TLngTLr 0.438
## B1_FC1_Knowldg 0.359
## B1_FC2_WrkflwC 0.536
## B1_FC4_FtsWlWW 0.640
## B1_SI1_Peers 0.722
## B1_SI2_ResClmt 0.386
## B1_SI3_Superrs 0.785
## B1_SI4_Journls 0.420
## B1_SI5_Field 0.282
## B1_BehIntUse 0.550##Overall #The model will not converge with FC3 in it AT ALL. Also EE and FC covariance is high. There are two pairs of modification indices that are top ranked in all 3 groups.
overallmodeldropFC3 <- 'PE =~ PE1 + PE2 + PE3 + PE4 + PE5 + PE6 + PE7 + PE8 + PE9
SI =~ SI1 + SI2 + SI3 + SI4 + SI5
FC =~ FC1 + FC2 + FC4
EE =~ EE1 + EE2 + EE3 + EE4 + EE5 + EE6
B1 ~ PE + SI + FC + EE
'
#fit the model
fitoverall <- cfa(model = overallmodeldropFC3, data = likertscollapsed,
std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", group = "STROBEFamiliarity")
#display the summary output
summary(fitoverall, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 74 iterations
##
## Optimization method NLMINB
## Number of free parameters 243
##
## Number of observations per group
## 3 635
## 1 195
## 2 185
##
## Estimator ML Robust
## Model Fit Test Statistic 3678.167 2940.709
## Degrees of freedom 729 729
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.251
## for the Satorra-Bentler correction
##
## Chi-square for each group:
##
## 3 1957.696 1565.186
## 1 904.223 722.930
## 2 816.248 652.593
##
## Model test baseline model:
##
## Minimum Function Test Statistic 17527.768 12160.318
## Degrees of freedom 828 828
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.823 0.805
## Tucker-Lewis Index (TLI) 0.799 0.778
##
## Robust Comparative Fit Index (CFI) 0.831
## Robust Tucker-Lewis Index (TLI) 0.808
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -32648.669 -32648.669
## Loglikelihood unrestricted model (H1) -30809.585 -30809.585
##
## Number of free parameters 243 243
## Akaike (AIC) 65783.337 65783.337
## Bayesian (BIC) 66979.540 66979.540
## Sample-size adjusted Bayesian (BIC) 66207.751 66207.751
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.109 0.095
## 90 Percent Confidence Interval 0.106 0.113 0.092 0.098
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.106
## 90 Percent Confidence Interval 0.102 0.110
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.082 0.082
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
##
## Group 1 [3]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.790 0.058 13.596 0.000 0.790 0.669
## PE2 1.177 0.041 28.525 0.000 1.177 0.813
## PE3 1.037 0.044 23.620 0.000 1.037 0.772
## PE4 0.644 0.054 11.885 0.000 0.644 0.539
## PE5 0.689 0.052 13.197 0.000 0.689 0.578
## PE6 1.130 0.044 25.918 0.000 1.130 0.858
## PE7 0.916 0.055 16.538 0.000 0.916 0.774
## PE8 1.144 0.044 26.178 0.000 1.144 0.867
## PE9 1.066 0.046 22.966 0.000 1.066 0.803
## SI =~
## SI1 1.124 0.044 25.386 0.000 1.124 0.869
## SI2 0.814 0.053 15.273 0.000 0.814 0.641
## SI3 1.167 0.050 23.522 0.000 1.167 0.831
## SI4 0.493 0.051 9.620 0.000 0.493 0.474
## SI5 0.764 0.059 12.861 0.000 0.764 0.551
## FC =~
## FC1 0.532 0.047 11.391 0.000 0.532 0.578
## FC2 0.937 0.049 18.983 0.000 0.937 0.822
## FC4 1.039 0.043 24.042 0.000 1.039 0.834
## EE =~
## EE1 1.014 0.049 20.579 0.000 1.014 0.817
## EE2 0.846 0.048 17.741 0.000 0.846 0.798
## EE3 0.710 0.050 14.194 0.000 0.710 0.658
## EE4 1.033 0.044 23.257 0.000 1.033 0.718
## EE5 0.978 0.043 22.625 0.000 0.978 0.802
## EE6 1.003 0.045 22.071 0.000 1.003 0.760
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.443 0.088 5.043 0.000 0.443 0.337
## SI 0.263 0.059 4.484 0.000 0.263 0.200
## FC 0.422 0.171 2.468 0.014 0.422 0.321
## EE 0.006 0.119 0.050 0.960 0.006 0.005
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## SI 0.510 0.037 13.628 0.000 0.510 0.510
## FC 0.688 0.039 17.803 0.000 0.688 0.688
## EE 0.510 0.039 13.046 0.000 0.510 0.510
## SI ~~
## FC 0.497 0.040 12.357 0.000 0.497 0.497
## EE 0.332 0.045 7.349 0.000 0.332 0.332
## FC ~~
## EE 0.826 0.029 28.700 0.000 0.826 0.826
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 5.636 0.047 120.173 0.000 5.636 4.769
## .PE2 4.430 0.057 77.086 0.000 4.430 3.059
## .PE3 4.113 0.053 77.163 0.000 4.113 3.062
## .PE4 5.302 0.047 111.864 0.000 5.302 4.439
## .PE5 5.117 0.047 108.097 0.000 5.117 4.290
## .PE6 4.806 0.052 91.972 0.000 4.806 3.650
## .PE7 5.576 0.047 118.758 0.000 5.576 4.713
## .PE8 4.789 0.052 91.452 0.000 4.789 3.629
## .PE9 4.631 0.053 87.888 0.000 4.631 3.488
## .SI1 4.613 0.051 89.849 0.000 4.613 3.566
## .SI2 5.112 0.050 101.385 0.000 5.112 4.023
## .SI3 4.452 0.056 79.855 0.000 4.452 3.169
## .SI4 5.625 0.041 136.300 0.000 5.625 5.409
## .SI5 4.476 0.055 81.287 0.000 4.476 3.226
## .FC1 5.890 0.037 161.200 0.000 5.890 6.397
## .FC2 5.469 0.045 120.830 0.000 5.469 4.795
## .FC4 5.164 0.049 104.479 0.000 5.164 4.146
## .EE1 5.213 0.049 105.826 0.000 5.213 4.200
## .EE2 5.504 0.042 130.913 0.000 5.504 5.195
## .EE3 5.351 0.043 124.855 0.000 5.351 4.955
## .EE4 4.699 0.057 82.271 0.000 4.699 3.265
## .EE5 5.506 0.048 113.741 0.000 5.506 4.514
## .EE6 5.394 0.052 102.914 0.000 5.394 4.084
## .B1 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
## EE 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.772 0.080 9.660 0.000 0.772 0.553
## .PE2 0.712 0.051 13.946 0.000 0.712 0.340
## .PE3 0.730 0.056 12.928 0.000 0.730 0.405
## .PE4 1.012 0.078 13.021 0.000 1.012 0.709
## .PE5 0.948 0.068 13.839 0.000 0.948 0.666
## .PE6 0.456 0.035 12.889 0.000 0.456 0.263
## .PE7 0.561 0.039 14.422 0.000 0.561 0.401
## .PE8 0.434 0.035 12.341 0.000 0.434 0.249
## .PE9 0.627 0.054 11.613 0.000 0.627 0.355
## .SI1 0.410 0.046 8.881 0.000 0.410 0.245
## .SI2 0.952 0.078 12.192 0.000 0.952 0.590
## .SI3 0.612 0.079 7.740 0.000 0.612 0.310
## .SI4 0.839 0.072 11.706 0.000 0.839 0.776
## .SI5 1.341 0.097 13.888 0.000 1.341 0.696
## .FC1 0.564 0.046 12.276 0.000 0.564 0.666
## .FC2 0.423 0.065 6.531 0.000 0.423 0.325
## .FC4 0.471 0.046 10.153 0.000 0.471 0.304
## .EE1 0.513 0.044 11.611 0.000 0.513 0.333
## .EE2 0.407 0.036 11.273 0.000 0.407 0.363
## .EE3 0.662 0.048 13.856 0.000 0.662 0.567
## .EE4 1.004 0.067 15.065 0.000 1.004 0.485
## .EE5 0.531 0.061 8.767 0.000 0.531 0.357
## .EE6 0.737 0.069 10.651 0.000 0.737 0.423
## .B1 0.790 0.060 13.118 0.000 0.790 0.457
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
## EE 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.447
## PE2 0.660
## PE3 0.595
## PE4 0.291
## PE5 0.334
## PE6 0.737
## PE7 0.599
## PE8 0.751
## PE9 0.645
## SI1 0.755
## SI2 0.410
## SI3 0.690
## SI4 0.224
## SI5 0.304
## FC1 0.334
## FC2 0.675
## FC4 0.696
## EE1 0.667
## EE2 0.637
## EE3 0.433
## EE4 0.515
## EE5 0.643
## EE6 0.577
## B1 0.543
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.922 0.092 10.014 0.000 0.922 0.736
## PE2 1.136 0.078 14.642 0.000 1.136 0.856
## PE3 1.078 0.073 14.832 0.000 1.078 0.856
## PE4 0.882 0.078 11.345 0.000 0.882 0.797
## PE5 0.871 0.086 10.131 0.000 0.871 0.773
## PE6 1.079 0.072 14.976 0.000 1.079 0.895
## PE7 0.989 0.082 12.006 0.000 0.989 0.819
## PE8 1.057 0.081 12.990 0.000 1.057 0.845
## PE9 1.044 0.082 12.757 0.000 1.044 0.844
## SI =~
## SI1 1.000 0.075 13.294 0.000 1.000 0.848
## SI2 0.800 0.095 8.384 0.000 0.800 0.621
## SI3 1.174 0.072 16.349 0.000 1.174 0.886
## SI4 0.684 0.081 8.474 0.000 0.684 0.650
## SI5 0.654 0.092 7.139 0.000 0.654 0.532
## FC =~
## FC1 0.929 0.100 9.253 0.000 0.929 0.602
## FC2 1.014 0.083 12.272 0.000 1.014 0.781
## FC4 1.016 0.073 13.912 0.000 1.016 0.853
## EE =~
## EE1 0.850 0.070 12.114 0.000 0.850 0.794
## EE2 0.897 0.065 13.869 0.000 0.897 0.835
## EE3 0.859 0.070 12.354 0.000 0.859 0.789
## EE4 0.673 0.094 7.154 0.000 0.673 0.543
## EE5 0.859 0.073 11.784 0.000 0.859 0.729
## EE6 0.826 0.078 10.540 0.000 0.826 0.686
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.489 0.106 4.602 0.000 0.489 0.359
## SI 0.124 0.100 1.245 0.213 0.124 0.091
## FC 0.724 0.300 2.410 0.016 0.724 0.531
## EE -0.142 0.287 -0.495 0.621 -0.142 -0.104
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## SI 0.664 0.053 12.536 0.000 0.664 0.664
## FC 0.550 0.066 8.327 0.000 0.550 0.550
## EE 0.533 0.069 7.687 0.000 0.533 0.533
## SI ~~
## FC 0.476 0.067 7.059 0.000 0.476 0.476
## EE 0.398 0.076 5.213 0.000 0.398 0.398
## FC ~~
## EE 0.891 0.034 26.200 0.000 0.891 0.891
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 5.205 0.090 58.043 0.000 5.205 4.157
## .PE2 4.626 0.095 48.656 0.000 4.626 3.484
## .PE3 4.374 0.090 48.473 0.000 4.374 3.471
## .PE4 4.974 0.079 62.761 0.000 4.974 4.494
## .PE5 4.887 0.081 60.574 0.000 4.887 4.338
## .PE6 4.738 0.086 54.862 0.000 4.738 3.929
## .PE7 5.103 0.086 59.048 0.000 5.103 4.229
## .PE8 4.815 0.090 53.736 0.000 4.815 3.848
## .PE9 4.651 0.089 52.516 0.000 4.651 3.761
## .SI1 4.015 0.084 47.568 0.000 4.015 3.406
## .SI2 4.692 0.092 50.870 0.000 4.692 3.643
## .SI3 3.867 0.095 40.740 0.000 3.867 2.917
## .SI4 4.990 0.075 66.207 0.000 4.990 4.741
## .SI5 3.908 0.088 44.415 0.000 3.908 3.181
## .FC1 4.518 0.111 40.869 0.000 4.518 2.927
## .FC2 4.728 0.093 50.863 0.000 4.728 3.642
## .FC4 4.785 0.085 56.063 0.000 4.785 4.015
## .EE1 4.800 0.077 62.651 0.000 4.800 4.487
## .EE2 5.185 0.077 67.347 0.000 5.185 4.823
## .EE3 4.985 0.078 63.959 0.000 4.985 4.580
## .EE4 4.200 0.089 47.348 0.000 4.200 3.391
## .EE5 4.933 0.084 58.531 0.000 4.933 4.191
## .EE6 4.708 0.086 54.633 0.000 4.708 3.912
## .B1 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
## EE 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.718 0.149 4.827 0.000 0.718 0.458
## .PE2 0.471 0.074 6.399 0.000 0.471 0.267
## .PE3 0.425 0.053 8.097 0.000 0.425 0.268
## .PE4 0.446 0.057 7.820 0.000 0.446 0.364
## .PE5 0.511 0.065 7.850 0.000 0.511 0.403
## .PE6 0.289 0.044 6.634 0.000 0.289 0.199
## .PE7 0.479 0.070 6.836 0.000 0.479 0.329
## .PE8 0.448 0.080 5.573 0.000 0.448 0.286
## .PE9 0.440 0.055 7.991 0.000 0.440 0.288
## .SI1 0.390 0.054 7.217 0.000 0.390 0.281
## .SI2 1.019 0.119 8.581 0.000 1.019 0.614
## .SI3 0.377 0.071 5.307 0.000 0.377 0.215
## .SI4 0.639 0.071 8.973 0.000 0.639 0.577
## .SI5 1.082 0.135 8.018 0.000 1.082 0.717
## .FC1 1.520 0.168 9.059 0.000 1.520 0.638
## .FC2 0.656 0.117 5.625 0.000 0.656 0.389
## .FC4 0.388 0.084 4.638 0.000 0.388 0.273
## .EE1 0.422 0.055 7.617 0.000 0.422 0.369
## .EE2 0.351 0.051 6.845 0.000 0.351 0.303
## .EE3 0.446 0.056 8.011 0.000 0.446 0.377
## .EE4 1.081 0.126 8.597 0.000 1.081 0.705
## .EE5 0.648 0.111 5.842 0.000 0.648 0.468
## .EE6 0.766 0.107 7.153 0.000 0.766 0.529
## .B1 0.772 0.098 7.859 0.000 0.772 0.416
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
## EE 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.542
## PE2 0.733
## PE3 0.732
## PE4 0.636
## PE5 0.597
## PE6 0.801
## PE7 0.671
## PE8 0.714
## PE9 0.712
## SI1 0.719
## SI2 0.386
## SI3 0.785
## SI4 0.423
## SI5 0.283
## FC1 0.362
## FC2 0.611
## FC4 0.727
## EE1 0.631
## EE2 0.697
## EE3 0.623
## EE4 0.295
## EE5 0.532
## EE6 0.471
## B1 0.584
##
##
## Group 3 [2]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.872 0.096 9.115 0.000 0.872 0.709
## PE2 0.909 0.078 11.579 0.000 0.909 0.807
## PE3 0.835 0.071 11.742 0.000 0.835 0.806
## PE4 0.856 0.090 9.488 0.000 0.856 0.731
## PE5 0.797 0.090 8.806 0.000 0.797 0.703
## PE6 0.972 0.075 12.883 0.000 0.972 0.856
## PE7 0.810 0.097 8.363 0.000 0.810 0.688
## PE8 1.033 0.076 13.678 0.000 1.033 0.869
## PE9 0.962 0.071 13.589 0.000 0.962 0.833
## SI =~
## SI1 1.242 0.073 16.951 0.000 1.242 0.908
## SI2 0.789 0.103 7.679 0.000 0.789 0.562
## SI3 1.230 0.084 14.701 0.000 1.230 0.890
## SI4 0.567 0.095 5.991 0.000 0.567 0.462
## SI5 0.703 0.091 7.689 0.000 0.703 0.553
## FC =~
## FC1 0.804 0.115 7.000 0.000 0.804 0.491
## FC2 0.978 0.083 11.847 0.000 0.978 0.780
## FC4 1.035 0.074 14.045 0.000 1.035 0.875
## EE =~
## EE1 0.732 0.075 9.775 0.000 0.732 0.744
## EE2 0.865 0.073 11.907 0.000 0.865 0.799
## EE3 0.837 0.069 12.065 0.000 0.837 0.774
## EE4 0.648 0.096 6.787 0.000 0.648 0.569
## EE5 0.807 0.081 9.984 0.000 0.807 0.690
## EE6 0.747 0.085 8.750 0.000 0.747 0.664
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.350 0.179 1.961 0.050 0.350 0.232
## SI 0.134 0.098 1.371 0.170 0.134 0.089
## FC 0.806 0.273 2.953 0.003 0.806 0.533
## EE 0.046 0.186 0.246 0.805 0.046 0.030
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## SI 0.559 0.052 10.728 0.000 0.559 0.559
## FC 0.745 0.048 15.608 0.000 0.745 0.745
## EE 0.575 0.052 11.158 0.000 0.575 0.575
## SI ~~
## FC 0.413 0.089 4.629 0.000 0.413 0.413
## EE 0.373 0.073 5.086 0.000 0.373 0.373
## FC ~~
## EE 0.801 0.045 17.762 0.000 0.801 0.801
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 4.530 0.090 50.072 0.000 4.530 3.681
## .PE2 3.811 0.083 46.050 0.000 3.811 3.386
## .PE3 3.751 0.076 49.251 0.000 3.751 3.621
## .PE4 4.530 0.086 52.572 0.000 4.530 3.865
## .PE5 4.573 0.083 54.923 0.000 4.573 4.038
## .PE6 4.049 0.083 48.493 0.000 4.049 3.565
## .PE7 4.859 0.087 56.150 0.000 4.859 4.128
## .PE8 4.308 0.087 49.292 0.000 4.308 3.624
## .PE9 4.178 0.085 49.174 0.000 4.178 3.615
## .SI1 3.465 0.101 34.459 0.000 3.465 2.533
## .SI2 4.157 0.103 40.281 0.000 4.157 2.962
## .SI3 3.308 0.102 32.553 0.000 3.308 2.393
## .SI4 4.530 0.090 50.252 0.000 4.530 3.695
## .SI5 3.773 0.093 40.403 0.000 3.773 2.970
## .FC1 4.211 0.120 34.951 0.000 4.211 2.570
## .FC2 4.362 0.092 47.329 0.000 4.362 3.480
## .FC4 4.276 0.087 49.156 0.000 4.276 3.614
## .EE1 4.065 0.072 56.172 0.000 4.065 4.130
## .EE2 4.422 0.080 55.515 0.000 4.422 4.082
## .EE3 4.605 0.079 57.945 0.000 4.605 4.260
## .EE4 3.778 0.084 45.128 0.000 3.778 3.318
## .EE5 4.373 0.086 50.835 0.000 4.373 3.737
## .EE6 4.141 0.083 50.038 0.000 4.141 3.679
## .B1 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
## EE 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.753 0.110 6.833 0.000 0.753 0.498
## .PE2 0.441 0.064 6.859 0.000 0.441 0.348
## .PE3 0.377 0.049 7.736 0.000 0.377 0.351
## .PE4 0.640 0.076 8.456 0.000 0.640 0.466
## .PE5 0.648 0.079 8.191 0.000 0.648 0.505
## .PE6 0.346 0.044 7.817 0.000 0.346 0.268
## .PE7 0.729 0.087 8.361 0.000 0.729 0.526
## .PE8 0.346 0.047 7.291 0.000 0.346 0.245
## .PE9 0.410 0.071 5.742 0.000 0.410 0.307
## .SI1 0.328 0.077 4.241 0.000 0.328 0.176
## .SI2 1.348 0.150 8.979 0.000 1.348 0.684
## .SI3 0.397 0.117 3.391 0.001 0.397 0.208
## .SI4 1.182 0.120 9.864 0.000 1.182 0.786
## .SI5 1.119 0.138 8.088 0.000 1.119 0.694
## .FC1 2.039 0.216 9.430 0.000 2.039 0.759
## .FC2 0.615 0.111 5.552 0.000 0.615 0.391
## .FC4 0.328 0.083 3.942 0.000 0.328 0.234
## .EE1 0.433 0.057 7.625 0.000 0.433 0.447
## .EE2 0.425 0.076 5.592 0.000 0.425 0.362
## .EE3 0.468 0.077 6.091 0.000 0.468 0.400
## .EE4 0.876 0.119 7.346 0.000 0.876 0.676
## .EE5 0.718 0.119 6.043 0.000 0.718 0.524
## .EE6 0.709 0.098 7.204 0.000 0.709 0.559
## .B1 0.849 0.106 8.007 0.000 0.849 0.371
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
## EE 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.502
## PE2 0.652
## PE3 0.649
## PE4 0.534
## PE5 0.495
## PE6 0.732
## PE7 0.474
## PE8 0.755
## PE9 0.693
## SI1 0.824
## SI2 0.316
## SI3 0.792
## SI4 0.214
## SI5 0.306
## FC1 0.241
## FC2 0.609
## FC4 0.766
## EE1 0.553
## EE2 0.638
## EE3 0.600
## EE4 0.324
## EE5 0.476
## EE6 0.441
## B1 0.629#covariance matrices
inspect(fitoverall, "cov.lv")## $`3`
## PE SI FC EE
## PE 1.000
## SI 0.510 1.000
## FC 0.688 0.497 1.000
## EE 0.510 0.332 0.826 1.000
##
## $`1`
## PE SI FC EE
## PE 1.000
## SI 0.664 1.000
## FC 0.550 0.476 1.000
## EE 0.533 0.398 0.891 1.000
##
## $`2`
## PE SI FC EE
## PE 1.000
## SI 0.559 1.000
## FC 0.745 0.413 1.000
## EE 0.575 0.373 0.801 1.000#modificiation indices
modificationindices(fitoverall, sort = TRUE)## lhs op rhs block group level mi epc sepc.lv sepc.all sepc.nox
## 610 EE5 ~~ EE6 1 1 1 283.083 0.527 0.527 0.842 0.842
## 403 PE4 ~~ PE5 1 1 1 252.232 0.637 0.637 0.650 0.650
## 592 EE1 ~~ EE2 1 1 1 155.661 0.305 0.305 0.668 0.668
## 509 SI1 ~~ SI3 1 1 1 134.923 0.687 0.687 1.372 1.372
## 971 EE5 ~~ EE6 2 2 1 122.253 0.633 0.633 0.898 0.898
## 764 PE4 ~~ PE5 2 2 1 97.986 0.369 0.369 0.772 0.772
## 601 EE2 ~~ EE6 1 1 1 86.009 -0.253 -0.253 -0.462 -0.462
## 596 EE1 ~~ EE6 1 1 1 84.812 -0.289 -0.289 -0.470 -0.470
## 360 PE2 ~~ PE3 1 1 1 83.111 0.301 0.301 0.418 0.418
## 1332 EE5 ~~ EE6 3 3 1 74.147 0.518 0.518 0.727 0.727
## 1125 PE4 ~~ PE5 3 3 1 72.700 0.433 0.433 0.672 0.672
## 342 PE1 ~~ PE7 1 1 1 69.395 0.238 0.238 0.361 0.361
## 364 PE2 ~~ PE7 1 1 1 69.348 -0.242 -0.242 -0.382 -0.382
## 608 EE4 ~~ EE6 1 1 1 65.927 0.326 0.326 0.379 0.379
## 1231 SI1 ~~ SI3 3 3 1 63.688 1.049 1.049 2.905 2.905
## 595 EE1 ~~ EE5 1 1 1 57.949 -0.214 -0.214 -0.410 -0.410
## 300 FC =~ PE1 1 1 1 51.170 0.410 0.410 0.347 0.347
## 523 SI2 ~~ SI4 1 1 1 50.808 0.274 0.274 0.307 0.307
## 280 PE =~ EE5 1 1 1 45.195 -0.273 -0.273 -0.223 -0.223
## 275 PE =~ FC4 1 1 1 44.992 0.416 0.416 0.334 0.334
## 285 SI =~ PE4 1 1 1 44.887 0.349 0.349 0.292 0.292
## 968 EE4 ~~ EE5 2 2 1 40.323 0.416 0.416 0.497 0.497
## 721 PE2 ~~ PE3 2 2 1 39.691 0.238 0.238 0.532 0.532
## 568 FC1 ~~ FC2 1 1 1 38.633 0.154 0.154 0.314 0.314
## 318 FC =~ EE5 1 1 1 37.768 -0.477 -0.477 -0.391 -0.391
## 599 EE2 ~~ EE4 1 1 1 36.241 -0.186 -0.186 -0.291 -0.291
## 320 EE =~ PE1 1 1 1 35.598 0.270 0.270 0.228 0.228
## 607 EE4 ~~ EE5 1 1 1 35.462 0.211 0.211 0.289 0.289
## 273 PE =~ FC1 1 1 1 34.477 -0.290 -0.290 -0.315 -0.315
## 969 EE4 ~~ EE6 2 2 1 33.159 0.404 0.404 0.444 0.444
## 286 SI =~ PE5 1 1 1 31.406 0.284 0.284 0.238 0.238
## 547 SI4 ~~ SI5 1 1 1 31.246 0.249 0.249 0.235 0.235
## 1082 PE2 ~~ PE3 3 3 1 31.213 0.192 0.192 0.471 0.471
## 746 PE3 ~~ PE7 2 2 1 28.625 -0.198 -0.198 -0.440 -0.440
## 929 FC1 ~~ FC2 2 2 1 28.473 0.460 0.460 0.461 0.461
## 956 EE1 ~~ EE5 2 2 1 28.161 -0.242 -0.242 -0.462 -0.462
## 953 EE1 ~~ EE2 2 2 1 27.872 0.201 0.201 0.523 0.523
## 1330 EE4 ~~ EE6 3 3 1 27.561 0.335 0.335 0.425 0.425
## 598 EE2 ~~ EE3 1 1 1 27.465 0.127 0.127 0.245 0.245
## 673 FC =~ SI4 2 2 1 26.826 0.390 0.390 0.371 0.371
## 312 FC =~ SI4 1 1 1 25.396 0.239 0.239 0.230 0.230
## 1245 SI2 ~~ SI4 3 3 1 25.269 0.485 0.485 0.385 0.385
## 405 PE4 ~~ PE7 1 1 1 25.034 0.160 0.160 0.213 0.213
## 281 PE =~ EE6 1 1 1 24.018 -0.227 -0.227 -0.172 -0.172
## 1329 EE4 ~~ EE5 3 3 1 23.954 0.317 0.317 0.400 0.400
## 510 SI1 ~~ SI4 1 1 1 23.839 -0.165 -0.165 -0.281 -0.281
## 282 SI =~ PE1 1 1 1 23.767 0.225 0.225 0.191 0.191
## 476 PE7 ~~ B1 1 1 1 23.704 0.141 0.141 0.211 0.211
## 604 EE3 ~~ EE5 1 1 1 23.376 -0.135 -0.135 -0.227 -0.227
## 412 PE4 ~~ SI5 1 1 1 23.288 0.232 0.232 0.199 0.199
## 636 PE =~ FC4 2 2 1 23.252 0.424 0.424 0.356 0.356
## 385 PE3 ~~ PE7 1 1 1 22.879 -0.137 -0.137 -0.214 -0.214
## 535 SI3 ~~ SI4 1 1 1 22.865 -0.176 -0.176 -0.246 -0.246
## 870 SI1 ~~ SI3 2 2 1 22.623 0.351 0.351 0.916 0.916
## 332 EE =~ SI4 1 1 1 22.074 0.198 0.198 0.190 0.190
## 278 PE =~ EE3 1 1 1 21.803 0.196 0.196 0.181 0.181
## 603 EE3 ~~ EE4 1 1 1 21.396 -0.167 -0.167 -0.205 -0.205
## 343 PE1 ~~ PE8 1 1 1 21.387 -0.124 -0.124 -0.215 -0.215
## 569 FC1 ~~ FC4 1 1 1 21.383 -0.124 -0.124 -0.241 -0.241
## 431 PE5 ~~ SI5 1 1 1 21.204 0.215 0.215 0.191 0.191
## 443 PE6 ~~ PE8 1 1 1 21.121 0.110 0.110 0.246 0.246
## 361 PE2 ~~ PE4 1 1 1 21.085 -0.169 -0.169 -0.199 -0.199
## 605 EE3 ~~ EE6 1 1 1 20.926 -0.145 -0.145 -0.208 -0.208
## 430 PE5 ~~ SI4 1 1 1 20.783 0.167 0.167 0.187 0.187
## 693 EE =~ SI4 2 2 1 20.729 0.321 0.321 0.305 0.305
## 609 EE4 ~~ B1 1 1 1 20.516 0.176 0.176 0.198 0.198
## 1083 PE2 ~~ PE4 3 3 1 20.441 -0.196 -0.196 -0.369 -0.369
## 785 PE5 ~~ PE7 2 2 1 20.400 0.176 0.176 0.356 0.356
## 434 PE5 ~~ FC4 1 1 1 20.306 -0.141 -0.141 -0.210 -0.210
## 287 SI =~ PE6 1 1 1 19.965 -0.173 -0.173 -0.131 -0.131
## 952 FC4 ~~ B1 2 2 1 19.777 0.286 0.286 0.523 0.523
## 358 PE1 ~~ EE6 1 1 1 19.489 0.145 0.145 0.192 0.192
## 600 EE2 ~~ EE5 1 1 1 19.488 -0.107 -0.107 -0.231 -0.231
## 593 EE1 ~~ EE3 1 1 1 19.166 0.122 0.122 0.209 0.209
## 298 SI =~ EE5 1 1 1 18.449 -0.161 -0.161 -0.132 -0.132
## 960 EE2 ~~ EE4 2 2 1 18.243 -0.223 -0.223 -0.362 -0.362
## 316 FC =~ EE3 1 1 1 18.053 0.335 0.335 0.310 0.310
## 536 SI3 ~~ SI5 1 1 1 17.749 -0.205 -0.205 -0.226 -0.226
## 406 PE4 ~~ PE8 1 1 1 17.630 -0.126 -0.126 -0.190 -0.190
## 424 PE5 ~~ PE7 1 1 1 17.574 0.131 0.131 0.179 0.179
## 276 PE =~ EE1 1 1 1 17.041 0.167 0.167 0.135 0.135
## 310 FC =~ SI2 1 1 1 16.907 0.216 0.216 0.170 0.170
## 1107 PE3 ~~ PE7 3 3 1 16.727 -0.173 -0.173 -0.330 -0.330
## 1269 SI4 ~~ SI5 3 3 1 16.724 0.360 0.360 0.313 0.313
## 957 EE1 ~~ EE6 2 2 1 16.633 -0.197 -0.197 -0.347 -0.347
## 725 PE2 ~~ PE7 2 2 1 16.625 -0.159 -0.159 -0.335 -0.335
## 641 PE =~ EE5 2 2 1 16.581 -0.317 -0.317 -0.269 -0.269
## 1290 FC1 ~~ FC2 3 3 1 16.358 0.384 0.384 0.343 0.343
## 671 FC =~ SI2 2 2 1 15.934 0.376 0.376 0.292 0.292
## 930 FC1 ~~ FC4 2 2 1 15.906 -0.309 -0.309 -0.403 -0.403
## 1323 EE2 ~~ EE6 3 3 1 15.853 -0.203 -0.203 -0.369 -0.369
## 314 FC =~ EE1 1 1 1 15.841 0.310 0.310 0.250 0.250
## 585 FC4 ~~ EE1 1 1 1 15.741 0.102 0.102 0.207 0.207
## 1042 EE =~ PE1 3 3 1 15.704 0.357 0.357 0.290 0.290
## 1195 PE7 ~~ EE4 3 3 1 15.644 -0.245 -0.245 -0.307 -0.307
## 522 SI2 ~~ SI3 1 1 1 15.556 -0.177 -0.177 -0.232 -0.232
## 423 PE5 ~~ PE6 1 1 1 15.516 -0.117 -0.117 -0.178 -0.178
## 691 EE =~ SI2 2 2 1 15.494 0.347 0.347 0.270 0.270
## 363 PE2 ~~ PE6 1 1 1 15.410 0.111 0.111 0.195 0.195
## 736 PE2 ~~ EE1 2 2 1 15.367 0.145 0.145 0.325 0.325
## 1314 EE1 ~~ EE2 3 3 1 15.189 0.166 0.166 0.388 0.388
## 655 SI =~ EE1 2 2 1 15.052 0.241 0.241 0.225 0.225
## 1040 FC =~ EE5 3 3 1 14.876 -0.572 -0.572 -0.489 -0.489
## 268 PE =~ SI1 1 1 1 14.829 -0.177 -0.177 -0.137 -0.137
## 634 PE =~ FC1 2 2 1 14.485 -0.460 -0.460 -0.298 -0.298
## 723 PE2 ~~ PE5 2 2 1 14.484 -0.150 -0.150 -0.306 -0.306
## 506 PE9 ~~ EE6 1 1 1 14.437 -0.116 -0.116 -0.171 -0.171
## 296 SI =~ EE3 1 1 1 14.139 0.146 0.146 0.135 0.135
## 659 SI =~ EE5 2 2 1 14.066 -0.275 -0.275 -0.234 -0.234
## 661 FC =~ PE1 2 2 1 13.904 0.308 0.308 0.246 0.246
## 404 PE4 ~~ PE6 1 1 1 13.874 -0.114 -0.114 -0.167 -0.167
## 681 EE =~ PE1 2 2 1 13.856 0.297 0.297 0.237 0.237
## 1038 FC =~ EE3 3 3 1 13.674 0.479 0.479 0.443 0.443
## 1118 PE3 ~~ EE1 3 3 1 13.646 0.125 0.125 0.309 0.309
## 327 EE =~ PE8 1 1 1 13.492 -0.137 -0.137 -0.104 -0.104
## 637 PE =~ EE1 2 2 1 13.337 0.240 0.240 0.225 0.225
## 937 FC1 ~~ B1 2 2 1 13.225 -0.319 -0.319 -0.294 -0.294
## 962 EE2 ~~ EE6 2 2 1 13.163 -0.168 -0.168 -0.324 -0.324
## 642 PE =~ EE6 2 2 1 12.974 -0.299 -0.299 -0.248 -0.248
## 1313 FC4 ~~ B1 3 3 1 12.832 0.264 0.264 0.500 0.500
## 411 PE4 ~~ SI4 1 1 1 12.736 0.135 0.135 0.146 0.146
## 359 PE1 ~~ B1 1 1 1 12.641 0.117 0.117 0.150 0.150
## 766 PE4 ~~ PE7 2 2 1 12.293 0.129 0.129 0.278 0.278
## 437 PE5 ~~ EE3 1 1 1 12.179 0.115 0.115 0.146 0.146
## 492 PE8 ~~ B1 1 1 1 12.090 -0.094 -0.094 -0.161 -0.161
## 994 PE =~ SI5 3 3 1 12.049 0.356 0.356 0.280 0.280
## 565 SI5 ~~ EE5 1 1 1 12.016 -0.130 -0.130 -0.155 -0.155
## 1146 PE5 ~~ PE7 3 3 1 12.011 0.186 0.186 0.271 0.271
## 528 SI2 ~~ EE1 1 1 1 11.668 0.109 0.109 0.157 0.157
## 341 PE1 ~~ PE6 1 1 1 11.649 -0.093 -0.093 -0.157 -0.157
## 1199 PE8 ~~ PE9 3 3 1 11.462 0.117 0.117 0.310 0.310
## 309 FC =~ SI1 1 1 1 11.113 -0.156 -0.156 -0.121 -0.121
## 502 PE9 ~~ EE2 1 1 1 11.023 0.077 0.077 0.152 0.152
## 660 SI =~ EE6 2 2 1 11.022 -0.260 -0.260 -0.216 -0.216
## 415 PE4 ~~ FC4 1 1 1 10.909 -0.106 -0.106 -0.154 -0.154
## 334 EE =~ FC1 1 1 1 10.842 0.242 0.242 0.263 0.263
## 1318 EE1 ~~ EE6 3 3 1 10.779 -0.159 -0.159 -0.287 -0.287
## 362 PE2 ~~ PE5 1 1 1 10.690 -0.117 -0.117 -0.142 -0.142
## 1306 FC2 ~~ B1 3 3 1 10.609 -0.236 -0.236 -0.326 -0.326
## 481 PE8 ~~ SI4 1 1 1 10.605 -0.088 -0.088 -0.146 -0.146
## 993 PE =~ SI4 3 3 1 10.589 0.339 0.339 0.277 0.277
## 1152 PE5 ~~ SI4 3 3 1 10.551 0.217 0.217 0.248 0.248
## 346 PE1 ~~ SI2 1 1 1 10.352 0.117 0.117 0.137 0.137
## 602 EE2 ~~ B1 1 1 1 10.325 -0.083 -0.083 -0.147 -0.147
## 1244 SI2 ~~ SI3 3 3 1 10.295 -0.257 -0.257 -0.351 -0.351
## 670 FC =~ SI1 2 2 1 10.263 -0.224 -0.224 -0.190 -0.190
## 1156 PE5 ~~ FC4 3 3 1 10.250 -0.138 -0.138 -0.300 -0.300
## 594 EE1 ~~ EE4 1 1 1 10.164 -0.113 -0.113 -0.157 -0.157
## 1325 EE3 ~~ EE4 3 3 1 10.141 -0.176 -0.176 -0.275 -0.275
## 1295 FC1 ~~ EE4 3 3 1 9.796 -0.322 -0.322 -0.241 -0.241
## 990 PE =~ SI1 3 3 1 9.757 -0.265 -0.265 -0.194 -0.194
## 574 FC1 ~~ EE5 1 1 1 9.701 0.076 0.076 0.140 0.140
## 575 FC1 ~~ EE6 1 1 1 9.634 0.088 0.088 0.136 0.136
## 589 FC4 ~~ EE5 1 1 1 9.527 -0.079 -0.079 -0.159 -0.159
## 307 FC =~ PE8 1 1 1 9.445 -0.146 -0.146 -0.111 -0.111
## 1133 PE4 ~~ SI4 3 3 1 9.436 0.205 0.205 0.236 0.236
## 745 PE3 ~~ PE6 2 2 1 9.434 0.096 0.096 0.273 0.273
## 632 PE =~ SI4 2 2 1 9.379 0.272 0.272 0.258 0.258
## 928 SI5 ~~ B1 2 2 1 9.343 0.214 0.214 0.235 0.235
## 1068 PE1 ~~ SI2 3 3 1 9.092 0.235 0.235 0.233 0.233
## 572 FC1 ~~ EE3 1 1 1 9.059 0.078 0.078 0.128 0.128
## 1084 PE2 ~~ PE5 3 3 1 9.050 -0.130 -0.130 -0.244 -0.244
## 539 SI3 ~~ FC4 1 1 1 9.025 -0.088 -0.088 -0.164 -0.164
## 497 PE9 ~~ SI5 1 1 1 9.009 0.119 0.119 0.130 0.130
## 1031 FC =~ SI1 3 3 1 9.004 -0.225 -0.225 -0.164 -0.164
## 485 PE8 ~~ FC4 1 1 1 8.974 0.069 0.069 0.153 0.153
## 1321 EE2 ~~ EE4 3 3 1 8.913 -0.162 -0.162 -0.265 -0.265
## 551 SI4 ~~ EE1 1 1 1 8.908 0.087 0.087 0.133 0.133
## 1106 PE3 ~~ PE6 3 3 1 8.898 0.095 0.095 0.262 0.262
## 1232 SI1 ~~ SI4 3 3 1 8.891 -0.205 -0.205 -0.330 -0.330
## 1160 PE5 ~~ EE4 3 3 1 8.735 -0.173 -0.173 -0.230 -0.230
## 274 PE =~ FC2 1 1 1 8.717 -0.166 -0.166 -0.146 -0.146
## 272 PE =~ SI5 1 1 1 8.683 0.175 0.175 0.126 0.126
## 1000 PE =~ EE3 3 3 1 8.599 0.226 0.226 0.209 0.209
## 951 FC4 ~~ EE6 2 2 1 8.540 -0.144 -0.144 -0.264 -0.264
## 524 SI2 ~~ SI5 1 1 1 8.481 0.144 0.144 0.127 0.127
## 606 EE3 ~~ B1 1 1 1 8.465 -0.090 -0.090 -0.124 -0.124
## 288 SI =~ PE7 1 1 1 8.405 0.118 0.118 0.099 0.099
## 1105 PE3 ~~ PE5 3 3 1 8.351 -0.116 -0.116 -0.234 -0.234
## 527 SI2 ~~ FC4 1 1 1 8.322 0.093 0.093 0.139 0.139
## 1209 PE8 ~~ EE2 3 3 1 8.235 -0.099 -0.099 -0.258 -0.258
## 784 PE5 ~~ PE6 2 2 1 8.176 -0.092 -0.092 -0.241 -0.241
## 871 SI1 ~~ SI4 2 2 1 8.117 -0.141 -0.141 -0.283 -0.283
## 1023 FC =~ PE2 3 3 1 8.116 0.264 0.264 0.235 0.235
## 508 SI1 ~~ SI2 1 1 1 8.049 -0.119 -0.119 -0.191 -0.191
## 796 PE5 ~~ EE1 2 2 1 8.009 -0.106 -0.106 -0.228 -0.228
## 724 PE2 ~~ PE6 2 2 1 7.995 0.093 0.093 0.252 0.252
## 1065 PE1 ~~ PE8 3 3 1 7.983 -0.123 -0.123 -0.241 -0.241
## 926 SI5 ~~ EE5 2 2 1 7.969 -0.182 -0.182 -0.218 -0.218
## 1043 EE =~ PE2 3 3 1 7.957 0.201 0.201 0.178 0.178
## 1090 PE2 ~~ SI2 3 3 1 7.956 -0.172 -0.172 -0.224 -0.224
## 271 PE =~ SI4 1 1 1 7.930 0.131 0.131 0.126 0.126
## 998 PE =~ EE1 3 3 1 7.861 0.202 0.202 0.205 0.205
## 709 PE1 ~~ SI4 2 2 1 7.845 0.145 0.145 0.214 0.214
## 1089 PE2 ~~ SI1 3 3 1 7.824 0.109 0.109 0.286 0.286
## 348 PE1 ~~ SI4 1 1 1 7.742 0.093 0.093 0.115 0.115
## 1192 PE7 ~~ EE1 3 3 1 7.640 -0.126 -0.126 -0.224 -0.224
## 330 EE =~ SI2 1 1 1 7.624 0.128 0.128 0.101 0.101
## 900 SI3 ~~ FC4 2 2 1 7.623 -0.116 -0.116 -0.304 -0.304
## 955 EE1 ~~ EE4 2 2 1 7.496 -0.151 -0.151 -0.223 -0.223
## 1052 EE =~ SI2 3 3 1 7.463 0.279 0.279 0.199 0.199
## 752 PE3 ~~ SI4 2 2 1 7.346 -0.112 -0.112 -0.215 -0.215
## 1022 FC =~ PE1 3 3 1 7.285 0.316 0.316 0.257 0.257
## 1127 PE4 ~~ PE7 3 3 1 7.245 0.145 0.145 0.212 0.212
## 372 PE2 ~~ FC1 1 1 1 7.243 -0.074 -0.074 -0.117 -0.117
## 425 PE5 ~~ PE8 1 1 1 7.214 -0.079 -0.079 -0.122 -0.122
## 703 PE1 ~~ PE7 2 2 1 7.202 0.123 0.123 0.209 0.209
## 787 PE5 ~~ PE9 2 2 1 7.191 -0.102 -0.102 -0.214 -0.214
## 1072 PE1 ~~ FC1 3 3 1 7.150 0.255 0.255 0.206 0.206
## 1122 PE3 ~~ EE5 3 3 1 7.145 -0.114 -0.114 -0.219 -0.219
## 612 EE6 ~~ B1 1 1 1 7.145 0.091 0.091 0.119 0.119
## 1317 EE1 ~~ EE5 3 3 1 7.081 -0.132 -0.132 -0.236 -0.236
## 702 PE1 ~~ PE6 2 2 1 7.052 -0.101 -0.101 -0.221 -0.221
## 1104 PE3 ~~ PE4 3 3 1 6.947 -0.106 -0.106 -0.215 -0.215
## 1003 PE =~ EE6 3 3 1 6.945 -0.232 -0.232 -0.206 -0.206
## 1187 PE7 ~~ SI4 3 3 1 6.903 0.186 0.186 0.201 0.201
## 1016 SI =~ EE1 3 3 1 6.862 0.162 0.162 0.165 0.165
## 765 PE4 ~~ PE6 2 2 1 6.836 -0.080 -0.080 -0.222 -0.222
## 1035 FC =~ SI5 3 3 1 6.829 0.248 0.248 0.196 0.196
## 991 PE =~ SI2 3 3 1 6.812 0.294 0.294 0.210 0.210
## 319 FC =~ EE6 1 1 1 6.724 -0.228 -0.228 -0.172 -0.172
## 675 FC =~ EE1 2 2 1 6.718 0.478 0.478 0.447 0.447
## 911 SI4 ~~ FC4 2 2 1 6.683 0.114 0.114 0.229 0.229
## 942 FC2 ~~ EE4 2 2 1 6.583 -0.174 -0.174 -0.207 -0.207
## 350 PE1 ~~ FC1 1 1 1 6.559 0.071 0.071 0.107 0.107
## 903 SI3 ~~ EE3 2 2 1 6.526 -0.103 -0.103 -0.251 -0.251
## 1257 SI3 ~~ SI4 3 3 1 6.519 -0.178 -0.178 -0.259 -0.259
## 573 FC1 ~~ EE4 1 1 1 6.507 -0.083 -0.083 -0.110 -0.110
## 722 PE2 ~~ PE4 2 2 1 6.493 -0.095 -0.095 -0.207 -0.207
## 283 SI =~ PE2 1 1 1 6.474 -0.118 -0.118 -0.082 -0.082
## 690 EE =~ SI1 2 2 1 6.464 -0.165 -0.165 -0.140 -0.140
## 1064 PE1 ~~ PE7 3 3 1 6.440 0.147 0.147 0.199 0.199
## 277 PE =~ EE2 1 1 1 6.369 0.089 0.089 0.084 0.084
## 779 PE4 ~~ EE3 2 2 1 6.329 0.091 0.091 0.203 0.203
## 1320 EE2 ~~ EE3 3 3 1 6.322 0.117 0.117 0.261 0.261
## 839 PE8 ~~ SI1 2 2 1 6.294 -0.093 -0.093 -0.222 -0.222
## 374 PE2 ~~ FC4 1 1 1 6.256 0.071 0.071 0.123 0.123
## 811 PE6 ~~ FC1 2 2 1 6.217 -0.135 -0.135 -0.203 -0.203
## 501 PE9 ~~ EE1 1 1 1 6.209 0.066 0.066 0.116 0.116
## 1130 PE4 ~~ SI1 3 3 1 6.195 -0.114 -0.114 -0.249 -0.249
## 1302 FC2 ~~ EE3 3 3 1 6.194 0.120 0.120 0.223 0.223
## 1291 FC1 ~~ FC4 3 3 1 6.193 -0.210 -0.210 -0.257 -0.257
## 767 PE4 ~~ PE8 2 2 1 6.191 -0.090 -0.090 -0.201 -0.201
## 1077 PE1 ~~ EE3 3 3 1 6.099 0.122 0.122 0.205 0.205
## 562 SI5 ~~ EE2 1 1 1 6.090 0.081 0.081 0.110 0.110
## 1002 PE =~ EE5 3 3 1 6.038 -0.220 -0.220 -0.188 -0.188
## 1034 FC =~ SI4 3 3 1 5.950 0.236 0.236 0.192 0.192
## 1086 PE2 ~~ PE7 3 3 1 5.939 -0.112 -0.112 -0.197 -0.197
## 311 FC =~ SI3 1 1 1 5.922 -0.124 -0.124 -0.088 -0.088
## 831 PE7 ~~ EE1 2 2 1 5.871 -0.089 -0.089 -0.197 -0.197
## 1248 SI2 ~~ FC2 3 3 1 5.868 -0.181 -0.181 -0.199 -0.199
## 635 PE =~ FC2 2 2 1 5.831 -0.224 -0.224 -0.172 -0.172
## 544 SI3 ~~ EE5 1 1 1 5.788 0.070 0.070 0.122 0.122
## 672 FC =~ SI3 2 2 1 5.773 -0.186 -0.186 -0.140 -0.140
## 1070 PE1 ~~ SI4 3 3 1 5.742 0.173 0.173 0.183 0.183
## 597 EE1 ~~ B1 1 1 1 5.691 -0.071 -0.071 -0.111 -0.111
## 680 FC =~ EE6 2 2 1 5.685 -0.539 -0.539 -0.448 -0.448
## 1115 PE3 ~~ FC1 3 3 1 5.683 -0.165 -0.165 -0.188 -0.188
## 392 PE3 ~~ SI5 1 1 1 5.676 -0.101 -0.101 -0.102 -0.102
## 590 FC4 ~~ EE6 1 1 1 5.612 -0.070 -0.070 -0.118 -0.118
## 487 PE8 ~~ EE2 1 1 1 5.591 -0.048 -0.048 -0.113 -0.113
## 379 PE2 ~~ EE5 1 1 1 5.584 -0.067 -0.067 -0.109 -0.109
## 269 PE =~ SI2 1 1 1 5.575 0.121 0.121 0.095 0.095
## 1032 FC =~ SI2 3 3 1 5.535 0.246 0.246 0.175 0.175
## 380 PE2 ~~ EE6 1 1 1 5.528 -0.077 -0.077 -0.106 -0.106
## 591 FC4 ~~ B1 1 1 1 5.503 0.082 0.082 0.135 0.135
## 1085 PE2 ~~ PE6 3 3 1 5.497 0.081 0.081 0.206 0.206
## 477 PE8 ~~ PE9 1 1 1 5.473 0.061 0.061 0.116 0.116
## 532 SI2 ~~ EE5 1 1 1 5.464 -0.075 -0.075 -0.106 -0.106
## 378 PE2 ~~ EE4 1 1 1 5.417 0.088 0.088 0.103 0.103
## 649 SI =~ PE7 2 2 1 5.408 0.183 0.183 0.151 0.151
## 475 PE7 ~~ EE6 1 1 1 5.407 0.067 0.067 0.103 0.103
## 813 PE6 ~~ FC4 2 2 1 5.325 0.073 0.073 0.217 0.217
## 554 SI4 ~~ EE4 1 1 1 5.278 -0.090 -0.090 -0.098 -0.098
## 294 SI =~ EE1 1 1 1 5.204 0.085 0.085 0.069 0.069
## 688 EE =~ PE8 2 2 1 5.168 0.148 0.148 0.119 0.119
## 647 SI =~ PE5 2 2 1 5.167 0.182 0.182 0.161 0.161
## 1176 PE6 ~~ EE2 3 3 1 5.151 -0.077 -0.077 -0.202 -0.202
## 1087 PE2 ~~ PE8 3 3 1 5.137 -0.079 -0.079 -0.203 -0.203
## 692 EE =~ SI3 2 2 1 5.134 -0.163 -0.163 -0.123 -0.123
## 401 PE3 ~~ EE6 1 1 1 5.105 -0.074 -0.074 -0.100 -0.100
## 355 PE1 ~~ EE3 1 1 1 5.100 -0.068 -0.068 -0.095 -0.095
## 564 SI5 ~~ EE4 1 1 1 5.071 -0.112 -0.112 -0.097 -0.097
## 442 PE6 ~~ PE7 1 1 1 5.032 -0.055 -0.055 -0.108 -0.108
## 302 FC =~ PE3 1 1 1 5.021 -0.128 -0.128 -0.096 -0.096
## 1051 EE =~ SI1 3 3 1 5.015 -0.160 -0.160 -0.117 -0.117
## 846 PE8 ~~ FC4 2 2 1 5.005 0.084 0.084 0.202 0.202
## 1190 PE7 ~~ FC2 3 3 1 4.994 0.124 0.124 0.185 0.185
## 936 FC1 ~~ EE6 2 2 1 4.980 0.186 0.186 0.173 0.173
## 1076 PE1 ~~ EE2 3 3 1 4.911 0.106 0.106 0.187 0.187
## 1205 PE8 ~~ FC1 3 3 1 4.907 -0.153 -0.153 -0.182 -0.182
## 1211 PE8 ~~ EE4 3 3 1 4.903 0.101 0.101 0.183 0.183
## 663 FC =~ PE3 2 2 1 4.793 -0.145 -0.145 -0.115 -0.115
## 1149 PE5 ~~ SI1 3 3 1 4.737 -0.100 -0.100 -0.217 -0.217
## 480 PE8 ~~ SI3 1 1 1 4.714 0.058 0.058 0.112 0.112
## 995 PE =~ FC1 3 3 1 4.680 -0.409 -0.409 -0.250 -0.250
## 734 PE2 ~~ FC2 2 2 1 4.658 -0.101 -0.101 -0.181 -0.181
## 829 PE7 ~~ FC2 2 2 1 4.654 0.100 0.100 0.178 0.178
## 1236 SI1 ~~ FC4 3 3 1 4.608 -0.086 -0.086 -0.263 -0.263
## 465 PE7 ~~ SI4 1 1 1 4.594 0.062 0.062 0.091 0.091
## 1137 PE4 ~~ FC4 3 3 1 4.535 -0.092 -0.092 -0.201 -0.201
## 531 SI2 ~~ EE4 1 1 1 4.515 -0.091 -0.091 -0.093 -0.093
## 757 PE3 ~~ EE1 2 2 1 4.508 0.075 0.075 0.176 0.176
## 862 PE9 ~~ EE1 2 2 1 4.499 0.075 0.075 0.175 0.175
## 945 FC2 ~~ B1 2 2 1 4.468 -0.143 -0.143 -0.201 -0.201
## 1119 PE3 ~~ EE2 3 3 1 4.454 0.073 0.073 0.183 0.183
## 284 SI =~ PE3 1 1 1 4.437 -0.097 -0.097 -0.072 -0.072
## 566 SI5 ~~ EE6 1 1 1 4.420 -0.091 -0.091 -0.092 -0.092
## 961 EE2 ~~ EE5 2 2 1 4.378 -0.092 -0.092 -0.193 -0.193
## 365 PE2 ~~ PE8 1 1 1 4.370 0.058 0.058 0.105 0.105
## 322 EE =~ PE3 1 1 1 4.342 -0.094 -0.094 -0.070 -0.070
## 498 PE9 ~~ FC1 1 1 1 4.340 -0.054 -0.054 -0.090 -0.090
## 448 PE6 ~~ SI4 1 1 1 4.326 -0.057 -0.057 -0.092 -0.092
## 1120 PE3 ~~ EE3 3 3 1 4.314 -0.074 -0.074 -0.176 -0.176
## 1178 PE6 ~~ EE4 3 3 1 4.298 0.093 0.093 0.170 0.170
## 428 PE5 ~~ SI2 1 1 1 4.287 0.083 0.083 0.087 0.087
## 548 SI4 ~~ FC1 1 1 1 4.282 0.059 0.059 0.086 0.086
## 768 PE4 ~~ PE9 2 2 1 4.250 -0.074 -0.074 -0.166 -0.166
## 744 PE3 ~~ PE5 2 2 1 4.215 -0.077 -0.077 -0.165 -0.165
## 581 FC2 ~~ EE4 1 1 1 4.183 -0.064 -0.064 -0.098 -0.098
## 1078 PE1 ~~ EE4 3 3 1 4.126 -0.128 -0.128 -0.158 -0.158
## 483 PE8 ~~ FC1 1 1 1 4.090 -0.045 -0.045 -0.092 -0.092
## 304 FC =~ PE5 1 1 1 4.065 -0.126 -0.126 -0.106 -0.106
## 1326 EE3 ~~ EE5 3 3 1 4.043 -0.107 -0.107 -0.184 -0.184
## 1036 FC =~ EE1 3 3 1 4.043 0.242 0.242 0.246 0.246
## 648 SI =~ PE6 2 2 1 4.033 -0.130 -0.130 -0.108 -0.108
## 511 SI1 ~~ SI5 1 1 1 4.026 -0.090 -0.090 -0.122 -0.122
## 1217 PE9 ~~ SI3 3 3 1 4.012 -0.078 -0.078 -0.194 -0.194
## 329 EE =~ SI1 1 1 1 3.993 -0.080 -0.080 -0.062 -0.062
## 1254 SI2 ~~ EE5 3 3 1 3.981 0.155 0.155 0.158 0.158
## 695 EE =~ FC1 2 2 1 3.965 0.650 0.650 0.421 0.421
## 402 PE3 ~~ B1 1 1 1 3.949 -0.065 -0.065 -0.086 -0.086
## 391 PE3 ~~ SI4 1 1 1 3.945 -0.066 -0.066 -0.084 -0.084
## 1041 FC =~ EE6 3 3 1 3.940 -0.288 -0.288 -0.256 -0.256
## 898 SI3 ~~ FC1 2 2 1 3.926 0.141 0.141 0.186 0.186
## 337 PE1 ~~ PE2 1 1 1 3.911 -0.065 -0.065 -0.087 -0.087
## 338 PE1 ~~ PE3 1 1 1 3.834 -0.064 -0.064 -0.085 -0.085
## 1334 EE6 ~~ B1 3 3 1 3.819 0.125 0.125 0.161 0.161
## 668 FC =~ PE8 2 2 1 3.804 0.132 0.132 0.105 0.105
## 996 PE =~ FC2 3 3 1 3.802 0.256 0.256 0.204 0.204
## 324 EE =~ PE5 1 1 1 3.772 -0.096 -0.096 -0.081 -0.081
## 400 PE3 ~~ EE5 1 1 1 3.770 -0.055 -0.055 -0.088 -0.088
## 965 EE3 ~~ EE5 2 2 1 3.755 -0.090 -0.090 -0.168 -0.168
## 685 EE =~ PE5 2 2 1 3.735 -0.131 -0.131 -0.116 -0.116
## 397 PE3 ~~ EE2 1 1 1 3.726 0.048 0.048 0.088 0.088
## 650 SI =~ PE8 2 2 1 3.726 -0.149 -0.149 -0.119 -0.119
## 1304 FC2 ~~ EE5 3 3 1 3.717 -0.110 -0.110 -0.165 -0.165
## 712 PE1 ~~ FC2 2 2 1 3.714 0.107 0.107 0.156 0.156
## 683 EE =~ PE3 2 2 1 3.649 -0.122 -0.122 -0.097 -0.097
## 1271 SI4 ~~ FC2 3 3 1 3.642 -0.133 -0.133 -0.155 -0.155
## 850 PE8 ~~ EE4 2 2 1 3.624 0.102 0.102 0.147 0.147
## 344 PE1 ~~ PE9 1 1 1 3.608 -0.058 -0.058 -0.083 -0.083
## 679 FC =~ EE5 2 2 1 3.594 -0.405 -0.405 -0.344 -0.344
## 559 SI5 ~~ FC2 1 1 1 3.521 0.066 0.066 0.087 0.087
## 1311 FC4 ~~ EE5 3 3 1 3.521 -0.089 -0.089 -0.183 -0.183
## 540 SI3 ~~ EE1 1 1 1 3.504 -0.054 -0.054 -0.096 -0.096
## 639 PE =~ EE3 2 2 1 3.498 0.126 0.126 0.116 0.116
## 1170 PE6 ~~ SI4 3 3 1 3.486 -0.096 -0.096 -0.151 -0.151
## 1131 PE4 ~~ SI2 3 3 1 3.450 0.134 0.134 0.144 0.144
## 1328 EE3 ~~ B1 3 3 1 3.428 -0.103 -0.103 -0.163 -0.163
## 970 EE4 ~~ B1 2 2 1 3.423 0.130 0.130 0.142 0.142
## 1158 PE5 ~~ EE2 3 3 1 3.422 0.082 0.082 0.156 0.156
## 299 SI =~ EE6 1 1 1 3.418 -0.079 -0.079 -0.060 -0.060
## 1113 PE3 ~~ SI4 3 3 1 3.405 -0.097 -0.097 -0.145 -0.145
## 1235 SI1 ~~ FC2 3 3 1 3.390 0.088 0.088 0.197 0.197
## 371 PE2 ~~ SI5 1 1 1 3.388 -0.078 -0.078 -0.080 -0.080
## 825 PE7 ~~ SI3 2 2 1 3.384 0.074 0.074 0.174 0.174
## 438 PE5 ~~ EE4 1 1 1 3.362 -0.076 -0.076 -0.078 -0.078
## 1287 SI5 ~~ EE5 3 3 1 3.349 -0.130 -0.130 -0.145 -0.145
## 845 PE8 ~~ FC2 2 2 1 3.334 -0.083 -0.083 -0.152 -0.152
## 315 FC =~ EE2 1 1 1 3.322 0.123 0.123 0.116 0.116
## 714 PE1 ~~ EE1 2 2 1 3.311 -0.080 -0.080 -0.145 -0.145
## 883 SI2 ~~ SI3 2 2 1 3.303 -0.124 -0.124 -0.200 -0.200
## 761 PE3 ~~ EE5 2 2 1 3.297 -0.077 -0.077 -0.146 -0.146
## 390 PE3 ~~ SI3 1 1 1 3.294 0.059 0.059 0.088 0.088
## 1224 PE9 ~~ EE2 3 3 1 3.294 -0.066 -0.066 -0.159 -0.159
## 1185 PE7 ~~ SI2 3 3 1 3.262 0.138 0.138 0.139 0.139
## 718 PE1 ~~ EE5 2 2 1 3.259 0.096 0.096 0.140 0.140
## 743 PE3 ~~ PE4 2 2 1 3.254 -0.064 -0.064 -0.147 -0.147
## 816 PE6 ~~ EE3 2 2 1 3.246 -0.055 -0.055 -0.154 -0.154
## 1272 SI4 ~~ FC4 3 3 1 3.244 0.103 0.103 0.166 0.166
## 552 SI4 ~~ EE2 1 1 1 3.216 0.046 0.046 0.079 0.079
## 1157 PE5 ~~ EE1 3 3 1 3.198 -0.077 -0.077 -0.146 -0.146
## 828 PE7 ~~ FC1 2 2 1 3.180 0.118 0.118 0.138 0.138
## 1101 PE2 ~~ EE5 3 3 1 3.130 -0.081 -0.081 -0.145 -0.145
## 964 EE3 ~~ EE4 2 2 1 3.128 -0.100 -0.100 -0.143 -0.143
## 534 SI2 ~~ B1 1 1 1 3.110 -0.066 -0.066 -0.076 -0.076
## 387 PE3 ~~ PE9 1 1 1 3.107 -0.054 -0.054 -0.080 -0.080
## 906 SI3 ~~ EE6 2 2 1 3.078 0.089 0.089 0.166 0.166
## 1233 SI1 ~~ SI5 3 3 1 3.051 -0.126 -0.126 -0.207 -0.207
## 863 PE9 ~~ EE2 2 2 1 3.041 -0.058 -0.058 -0.148 -0.148
## 740 PE2 ~~ EE5 2 2 1 3.039 -0.078 -0.078 -0.140 -0.140
## 851 PE8 ~~ EE5 2 2 1 3.032 0.075 0.075 0.139 0.139
## 1015 SI =~ FC4 3 3 1 3.029 -0.146 -0.146 -0.124 -0.124
## 325 EE =~ PE6 1 1 1 3.026 0.066 0.066 0.050 0.050
## 331 EE =~ SI3 1 1 1 3.016 -0.076 -0.076 -0.054 -0.054
## 1056 EE =~ FC1 3 3 1 3.008 0.411 0.411 0.251 0.251
## 1063 PE1 ~~ PE6 3 3 1 2.997 -0.074 -0.074 -0.146 -0.146
## 1092 PE2 ~~ SI4 3 3 1 2.979 -0.098 -0.098 -0.136 -0.136
## 789 PE5 ~~ SI2 2 2 1 2.971 0.095 0.095 0.132 0.132
## 449 PE6 ~~ SI5 1 1 1 2.963 -0.060 -0.060 -0.077 -0.077
## 514 SI1 ~~ FC4 1 1 1 2.957 -0.045 -0.045 -0.102 -0.102
## 1073 PE1 ~~ FC2 3 3 1 2.926 -0.096 -0.096 -0.142 -0.142
## 1186 PE7 ~~ SI3 3 3 1 2.879 -0.085 -0.085 -0.158 -0.158
## 700 PE1 ~~ PE4 2 2 1 2.870 0.074 0.074 0.131 0.131
## 716 PE1 ~~ EE3 2 2 1 2.868 0.076 0.076 0.135 0.135
## 1220 PE9 ~~ FC1 3 3 1 2.854 0.123 0.123 0.135 0.135
## 631 PE =~ SI3 2 2 1 2.853 -0.165 -0.165 -0.125 -0.125
## 571 FC1 ~~ EE2 1 1 1 2.840 -0.036 -0.036 -0.075 -0.075
## 932 FC1 ~~ EE2 2 2 1 2.823 0.103 0.103 0.141 0.141
## 698 PE1 ~~ PE2 2 2 1 2.823 -0.078 -0.078 -0.134 -0.134
## 461 PE7 ~~ PE9 1 1 1 2.816 0.045 0.045 0.076 0.076
## 777 PE4 ~~ EE1 2 2 1 2.792 -0.059 -0.059 -0.135 -0.135
## 452 PE6 ~~ FC4 1 1 1 2.785 0.039 0.039 0.085 0.085
## 1212 PE8 ~~ EE5 3 3 1 2.769 0.071 0.071 0.142 0.142
## 1014 SI =~ FC2 3 3 1 2.760 0.138 0.138 0.110 0.110
## 1145 PE5 ~~ PE6 3 3 1 2.740 -0.066 -0.066 -0.139 -0.139
## 1172 PE6 ~~ FC1 3 3 1 2.730 -0.113 -0.113 -0.134 -0.134
## 934 FC1 ~~ EE4 2 2 1 2.723 -0.160 -0.160 -0.125 -0.125
## 541 SI3 ~~ EE2 1 1 1 2.717 -0.042 -0.042 -0.084 -0.084
## 1096 PE2 ~~ FC4 3 3 1 2.709 0.060 0.060 0.159 0.159
## 413 PE4 ~~ FC1 1 1 1 2.686 0.051 0.051 0.068 0.068
## 611 EE5 ~~ B1 1 1 1 2.662 0.048 0.048 0.075 0.075
## 665 FC =~ PE5 2 2 1 2.652 -0.114 -0.114 -0.101 -0.101
## 1079 PE1 ~~ EE5 3 3 1 2.646 0.095 0.095 0.130 0.130
## 382 PE3 ~~ PE4 1 1 1 2.641 -0.059 -0.059 -0.069 -0.069
## 881 SI1 ~~ EE6 2 2 1 2.635 -0.077 -0.077 -0.141 -0.141
## 1293 FC1 ~~ EE2 3 3 1 2.623 0.126 0.126 0.136 0.136
## 466 PE7 ~~ SI5 1 1 1 2.614 0.060 0.060 0.069 0.069
## 798 PE5 ~~ EE3 2 2 1 2.612 0.062 0.062 0.130 0.130
## 949 FC4 ~~ EE4 2 2 1 2.612 0.092 0.092 0.142 0.142
## 1163 PE5 ~~ B1 3 3 1 2.582 0.095 0.095 0.129 0.129
## 1181 PE6 ~~ B1 3 3 1 2.576 -0.074 -0.074 -0.137 -0.137
## 912 SI4 ~~ EE1 2 2 1 2.554 0.067 0.067 0.129 0.129
## 1021 SI =~ EE6 3 3 1 2.550 -0.121 -0.121 -0.108 -0.108
## 313 FC =~ SI5 1 1 1 2.546 0.097 0.097 0.070 0.070
## 1322 EE2 ~~ EE5 3 3 1 2.521 -0.083 -0.083 -0.150 -0.150
## 1194 PE7 ~~ EE3 3 3 1 2.521 0.077 0.077 0.131 0.131
## 963 EE2 ~~ B1 2 2 1 2.520 -0.073 -0.073 -0.140 -0.140
## 899 SI3 ~~ FC2 2 2 1 2.514 0.079 0.079 0.160 0.160
## 580 FC2 ~~ EE3 1 1 1 2.508 0.040 0.040 0.075 0.075
## 1045 EE =~ PE4 3 3 1 2.497 -0.132 -0.132 -0.112 -0.112
## 1001 PE =~ EE4 3 3 1 2.494 -0.150 -0.150 -0.132 -0.132
## 468 PE7 ~~ FC2 1 1 1 2.477 -0.036 -0.036 -0.075 -0.075
## 1285 SI5 ~~ EE3 3 3 1 2.476 0.094 0.094 0.129 0.129
## 875 SI1 ~~ FC4 2 2 1 2.471 -0.061 -0.061 -0.158 -0.158
## 455 PE6 ~~ EE3 1 1 1 2.435 0.039 0.039 0.070 0.070
## 959 EE2 ~~ EE3 2 2 1 2.407 0.060 0.060 0.153 0.153
## 576 FC1 ~~ B1 1 1 1 2.398 -0.045 -0.045 -0.067 -0.067
## 526 SI2 ~~ FC2 1 1 1 2.385 0.046 0.046 0.073 0.073
## 1168 PE6 ~~ SI2 3 3 1 2.381 -0.086 -0.086 -0.126 -0.126
## 376 PE2 ~~ EE2 1 1 1 2.372 0.038 0.038 0.071 0.071
## 418 PE4 ~~ EE3 1 1 1 2.364 0.052 0.052 0.064 0.064
## 1280 SI5 ~~ FC1 3 3 1 2.348 -0.177 -0.177 -0.117 -0.117
## 351 PE1 ~~ FC2 1 1 1 2.337 0.041 0.041 0.071 0.071
## 1039 FC =~ EE4 3 3 1 2.332 -0.237 -0.237 -0.208 -0.208
## 646 SI =~ PE4 2 2 1 2.290 0.114 0.114 0.103 0.103
## 1154 PE5 ~~ FC1 3 3 1 2.256 0.133 0.133 0.115 0.115
## 890 SI2 ~~ EE2 2 2 1 2.248 0.074 0.074 0.124 0.124
## 1136 PE4 ~~ FC2 3 3 1 2.235 0.078 0.078 0.124 0.124
## 1155 PE5 ~~ FC2 3 3 1 2.233 0.078 0.078 0.124 0.124
## 966 EE3 ~~ EE6 2 2 1 2.202 -0.073 -0.073 -0.126 -0.126
## 804 PE6 ~~ PE8 2 2 1 2.199 0.047 0.047 0.130 0.130
## 645 SI =~ PE3 2 2 1 2.196 -0.112 -0.112 -0.089 -0.089
## 306 FC =~ PE7 1 1 1 2.196 0.074 0.074 0.063 0.063
## 1093 PE2 ~~ SI5 3 3 1 2.192 -0.082 -0.082 -0.117 -0.117
## 1197 PE7 ~~ EE6 3 3 1 2.166 -0.084 -0.084 -0.116 -0.116
## 1327 EE3 ~~ EE6 3 3 1 2.164 -0.076 -0.076 -0.132 -0.132
## 518 SI1 ~~ EE4 1 1 1 2.144 0.050 0.050 0.077 0.077
## 1258 SI3 ~~ SI5 3 3 1 2.139 -0.106 -0.106 -0.159 -0.159
## 729 PE2 ~~ SI2 2 2 1 2.137 -0.080 -0.080 -0.115 -0.115
## 1278 SI4 ~~ EE6 3 3 1 2.118 -0.104 -0.104 -0.113 -0.113
## 493 PE9 ~~ SI1 1 1 1 2.118 -0.039 -0.039 -0.078 -0.078
## 545 SI3 ~~ EE6 1 1 1 2.107 0.048 0.048 0.072 0.072
## 1054 EE =~ SI4 3 3 1 2.107 0.137 0.137 0.112 0.112
## 1020 SI =~ EE5 3 3 1 2.094 -0.112 -0.112 -0.096 -0.096
## 710 PE1 ~~ SI5 2 2 1 2.083 -0.095 -0.095 -0.108 -0.108
## 656 SI =~ EE2 2 2 1 2.060 0.085 0.085 0.079 0.079
## 429 PE5 ~~ SI3 1 1 1 2.051 -0.051 -0.051 -0.068 -0.068
## 786 PE5 ~~ PE8 2 2 1 2.048 -0.055 -0.055 -0.114 -0.114
## 326 EE =~ PE7 1 1 1 2.031 0.056 0.056 0.048 0.048
## 505 PE9 ~~ EE5 1 1 1 2.018 -0.038 -0.038 -0.065 -0.065
## 336 EE =~ FC4 1 1 1 2.016 -0.138 -0.138 -0.111 -0.111
## 1144 PE4 ~~ B1 3 3 1 2.011 0.084 0.084 0.114 0.114
## 408 PE4 ~~ SI1 1 1 1 2.008 0.046 0.046 0.072 0.072
## 708 PE1 ~~ SI3 2 2 1 1.999 -0.068 -0.068 -0.131 -0.131
## 1150 PE5 ~~ SI2 3 3 1 1.987 0.102 0.102 0.109 0.109
## 577 FC2 ~~ FC4 1 1 1 1.975 -0.064 -0.064 -0.142 -0.142
## 293 SI =~ FC4 1 1 1 1.957 -0.069 -0.069 -0.055 -0.055
## 584 FC2 ~~ B1 1 1 1 1.956 -0.045 -0.045 -0.077 -0.077
## 630 PE =~ SI2 2 2 1 1.955 0.155 0.155 0.120 0.120
## 821 PE7 ~~ PE8 2 2 1 1.932 0.052 0.052 0.113 0.113
## 1126 PE4 ~~ PE6 3 3 1 1.923 -0.055 -0.055 -0.117 -0.117
## 896 SI3 ~~ SI4 2 2 1 1.902 -0.077 -0.077 -0.156 -0.156
## 762 PE3 ~~ EE6 2 2 1 1.898 -0.062 -0.062 -0.110 -0.110
## 292 SI =~ FC2 1 1 1 1.889 0.061 0.061 0.054 0.054
## 781 PE4 ~~ EE5 2 2 1 1.883 -0.058 -0.058 -0.108 -0.108
## 512 SI1 ~~ FC1 1 1 1 1.879 0.034 0.034 0.071 0.071
## 849 PE8 ~~ EE3 2 2 1 1.878 -0.050 -0.050 -0.113 -0.113
## 409 PE4 ~~ SI2 1 1 1 1.855 0.056 0.056 0.057 0.057
## 696 EE =~ FC2 2 2 1 1.845 -0.391 -0.391 -0.301 -0.301
## 778 PE4 ~~ EE2 2 2 1 1.834 0.045 0.045 0.113 0.113
## 1307 FC4 ~~ EE1 3 3 1 1.830 0.051 0.051 0.136 0.136
## 479 PE8 ~~ SI2 1 1 1 1.818 -0.040 -0.040 -0.062 -0.062
## 1188 PE7 ~~ SI5 3 3 1 1.786 0.093 0.093 0.103 0.103
## 383 PE3 ~~ PE5 1 1 1 1.776 -0.047 -0.047 -0.057 -0.057
## 279 PE =~ EE4 1 1 1 1.750 0.070 0.070 0.048 0.048
## 866 PE9 ~~ EE5 2 2 1 1.746 -0.056 -0.056 -0.106 -0.106
## 422 PE4 ~~ B1 1 1 1 1.744 0.049 0.049 0.055 0.055
## 1312 FC4 ~~ EE6 3 3 1 1.738 -0.061 -0.061 -0.127 -0.127
## 570 FC1 ~~ EE1 1 1 1 1.734 -0.032 -0.032 -0.060 -0.060
## 1019 SI =~ EE4 3 3 1 1.731 -0.108 -0.108 -0.095 -0.095
## 586 FC4 ~~ EE2 1 1 1 1.728 0.029 0.029 0.067 0.067
## 1048 EE =~ PE7 3 3 1 1.727 -0.116 -0.116 -0.098 -0.098
## 935 FC1 ~~ EE5 2 2 1 1.721 0.102 0.102 0.103 0.103
## 563 SI5 ~~ EE3 1 1 1 1.713 0.052 0.052 0.055 0.055
## 356 PE1 ~~ EE4 1 1 1 1.707 0.049 0.049 0.056 0.056
## 295 SI =~ EE2 1 1 1 1.699 0.043 0.043 0.040 0.040
## 1215 PE9 ~~ SI1 3 3 1 1.689 0.049 0.049 0.135 0.135
## 889 SI2 ~~ EE1 2 2 1 1.673 -0.068 -0.068 -0.104 -0.104
## 494 PE9 ~~ SI2 1 1 1 1.642 -0.044 -0.044 -0.056 -0.056
## 1289 SI5 ~~ B1 3 3 1 1.628 0.099 0.099 0.101 0.101
## 1005 SI =~ PE2 3 3 1 1.623 0.087 0.087 0.077 0.077
## 1050 EE =~ PE9 3 3 1 1.622 -0.089 -0.089 -0.077 -0.077
## 783 PE4 ~~ B1 2 2 1 1.612 -0.058 -0.058 -0.099 -0.099
## 381 PE2 ~~ B1 1 1 1 1.610 -0.042 -0.042 -0.056 -0.056
## 664 FC =~ PE4 2 2 1 1.604 -0.084 -0.084 -0.076 -0.076
## 1319 EE1 ~~ B1 3 3 1 1.597 -0.066 -0.066 -0.109 -0.109
## 908 SI4 ~~ SI5 2 2 1 1.593 0.081 0.081 0.098 0.098
## 701 PE1 ~~ PE5 2 2 1 1.592 0.059 0.059 0.097 0.097
## 918 SI4 ~~ B1 2 2 1 1.592 0.070 0.070 0.099 0.099
## 556 SI4 ~~ EE6 1 1 1 1.577 -0.043 -0.043 -0.054 -0.054
## 395 PE3 ~~ FC4 1 1 1 1.574 0.036 0.036 0.061 0.061
## 549 SI4 ~~ FC2 1 1 1 1.574 0.034 0.034 0.058 0.058
## 1175 PE6 ~~ EE1 3 3 1 1.571 0.042 0.042 0.108 0.108
## 1171 PE6 ~~ SI5 3 3 1 1.566 0.063 0.063 0.102 0.102
## 1169 PE6 ~~ SI3 3 3 1 1.559 0.046 0.046 0.123 0.123
## 741 PE2 ~~ EE6 2 2 1 1.541 -0.059 -0.059 -0.099 -0.099
## 1165 PE6 ~~ PE8 3 3 1 1.531 0.040 0.040 0.117 0.117
## 882 SI1 ~~ B1 2 2 1 1.530 -0.062 -0.062 -0.113 -0.113
## 754 PE3 ~~ FC1 2 2 1 1.527 -0.078 -0.078 -0.097 -0.097
## 907 SI3 ~~ B1 2 2 1 1.524 -0.068 -0.068 -0.126 -0.126
## 464 PE7 ~~ SI3 1 1 1 1.523 -0.035 -0.035 -0.060 -0.060
## 289 SI =~ PE8 1 1 1 1.512 -0.047 -0.047 -0.036 -0.036
## 788 PE5 ~~ SI1 2 2 1 1.495 0.047 0.047 0.105 0.105
## 1213 PE8 ~~ EE6 3 3 1 1.494 0.051 0.051 0.103 0.103
## 891 SI2 ~~ EE3 2 2 1 1.480 0.066 0.066 0.098 0.098
## 1100 PE2 ~~ EE4 3 3 1 1.475 0.060 0.060 0.097 0.097
## 1116 PE3 ~~ FC2 3 3 1 1.458 -0.049 -0.049 -0.103 -0.103
## 885 SI2 ~~ SI5 2 2 1 1.457 -0.097 -0.097 -0.093 -0.093
## 427 PE5 ~~ SI1 1 1 1 1.446 0.038 0.038 0.061 0.061
## 868 PE9 ~~ B1 2 2 1 1.438 0.056 0.056 0.096 0.096
## 339 PE1 ~~ PE4 1 1 1 1.434 0.044 0.044 0.050 0.050
## 1297 FC1 ~~ EE6 3 3 1 1.408 0.112 0.112 0.093 0.093
## 1138 PE4 ~~ EE1 3 3 1 1.404 -0.051 -0.051 -0.097 -0.097
## 731 PE2 ~~ SI4 2 2 1 1.384 -0.051 -0.051 -0.093 -0.093
## 1193 PE7 ~~ EE2 3 3 1 1.381 0.055 0.055 0.099 0.099
## 587 FC4 ~~ EE3 1 1 1 1.377 -0.032 -0.032 -0.056 -0.056
## 290 SI =~ PE9 1 1 1 1.376 -0.051 -0.051 -0.038 -0.038
## 838 PE8 ~~ PE9 2 2 1 1.373 0.043 0.043 0.097 0.097
## 837 PE7 ~~ B1 2 2 1 1.365 -0.056 -0.056 -0.092 -0.092
## 1179 PE6 ~~ EE5 3 3 1 1.360 -0.049 -0.049 -0.098 -0.098
## 453 PE6 ~~ EE1 1 1 1 1.359 0.027 0.027 0.056 0.056
## 1027 FC =~ PE6 3 3 1 1.352 -0.099 -0.099 -0.087 -0.087
## 1275 SI4 ~~ EE3 3 3 1 1.350 0.070 0.070 0.095 0.095
## 876 SI1 ~~ EE1 2 2 1 1.344 0.043 0.043 0.105 0.105
## 826 PE7 ~~ SI4 2 2 1 1.320 0.050 0.050 0.090 0.090
## 776 PE4 ~~ FC4 2 2 1 1.307 -0.042 -0.042 -0.101 -0.101
## 707 PE1 ~~ SI2 2 2 1 1.294 0.074 0.074 0.086 0.086
## 799 PE5 ~~ EE4 2 2 1 1.289 -0.064 -0.064 -0.086 -0.086
## 884 SI2 ~~ SI4 2 2 1 1.288 0.072 0.072 0.090 0.090
## 1324 EE2 ~~ B1 3 3 1 1.287 0.062 0.062 0.103 0.103
## 1288 SI5 ~~ EE6 3 3 1 1.281 -0.079 -0.079 -0.089 -0.089
## 515 SI1 ~~ EE1 1 1 1 1.278 -0.029 -0.029 -0.063 -0.063
## 1059 PE1 ~~ PE2 3 3 1 1.254 0.052 0.052 0.091 0.091
## 684 EE =~ PE4 2 2 1 1.251 -0.071 -0.071 -0.064 -0.064
## 782 PE4 ~~ EE6 2 2 1 1.245 -0.051 -0.051 -0.087 -0.087
## 1088 PE2 ~~ PE9 3 3 1 1.240 -0.041 -0.041 -0.096 -0.096
## 747 PE3 ~~ PE8 2 2 1 1.234 -0.041 -0.041 -0.093 -0.093
## 553 SI4 ~~ EE3 1 1 1 1.225 0.035 0.035 0.046 0.046
## 809 PE6 ~~ SI4 2 2 1 1.220 -0.039 -0.039 -0.090 -0.090
## 1047 EE =~ PE6 3 3 1 1.212 -0.072 -0.072 -0.063 -0.063
## 1069 PE1 ~~ SI3 3 3 1 1.202 -0.056 -0.056 -0.102 -0.102
## 458 PE6 ~~ EE6 1 1 1 1.188 -0.029 -0.029 -0.051 -0.051
## 738 PE2 ~~ EE3 2 2 1 1.187 0.041 0.041 0.090 0.090
## 1276 SI4 ~~ EE4 3 3 1 1.182 -0.085 -0.085 -0.083 -0.083
## 1024 FC =~ PE3 3 3 1 1.173 -0.093 -0.093 -0.090 -0.090
## 943 FC2 ~~ EE5 2 2 1 1.159 -0.059 -0.059 -0.091 -0.091
## 915 SI4 ~~ EE4 2 2 1 1.144 -0.067 -0.067 -0.081 -0.081
## 1282 SI5 ~~ FC4 3 3 1 1.140 0.060 0.060 0.099 0.099
## 384 PE3 ~~ PE6 1 1 1 1.137 0.030 0.030 0.051 0.051
## 927 SI5 ~~ EE6 2 2 1 1.133 -0.074 -0.074 -0.081 -0.081
## 629 PE =~ SI1 2 2 1 1.130 -0.092 -0.092 -0.078 -0.078
## 1164 PE6 ~~ PE7 3 3 1 1.123 -0.044 -0.044 -0.089 -0.089
## 739 PE2 ~~ EE4 2 2 1 1.122 -0.059 -0.059 -0.082 -0.082
## 1025 FC =~ PE4 3 3 1 1.109 -0.114 -0.114 -0.097 -0.097
## 1098 PE2 ~~ EE2 3 3 1 1.091 0.039 0.039 0.090 0.090
## 1182 PE7 ~~ PE8 3 3 1 1.076 0.044 0.044 0.088 0.088
## 651 SI =~ PE9 2 2 1 1.063 0.079 0.079 0.064 0.064
## 1097 PE2 ~~ EE1 3 3 1 1.061 0.038 0.038 0.086 0.086
## 1111 PE3 ~~ SI2 3 3 1 1.045 -0.058 -0.058 -0.081 -0.081
## 561 SI5 ~~ EE1 1 1 1 1.042 0.038 0.038 0.046 0.046
## 791 PE5 ~~ SI4 2 2 1 1.020 0.044 0.044 0.078 0.078
## 433 PE5 ~~ FC2 1 1 1 1.019 0.029 0.029 0.046 0.046
## 396 PE3 ~~ EE1 1 1 1 1.012 0.028 0.028 0.046 0.046
## 857 PE9 ~~ SI4 2 2 1 1.012 0.042 0.042 0.079 0.079
## 1055 EE =~ SI5 3 3 1 1.001 0.093 0.093 0.073 0.073
## 301 FC =~ PE2 1 1 1 0.979 -0.057 -0.057 -0.039 -0.039
## 578 FC2 ~~ EE1 1 1 1 0.966 -0.023 -0.023 -0.050 -0.050
## 699 PE1 ~~ PE3 2 2 1 0.964 -0.043 -0.043 -0.078 -0.078
## 1007 SI =~ PE4 3 3 1 0.957 -0.078 -0.078 -0.067 -0.067
## 1315 EE1 ~~ EE3 3 3 1 0.955 -0.042 -0.042 -0.094 -0.094
## 992 PE =~ SI3 3 3 1 0.950 -0.083 -0.083 -0.060 -0.060
## 354 PE1 ~~ EE2 1 1 1 0.938 -0.024 -0.024 -0.043 -0.043
## 972 EE5 ~~ B1 2 2 1 0.930 0.055 0.055 0.078 0.078
## 748 PE3 ~~ PE9 2 2 1 0.923 0.035 0.035 0.080 0.080
## 491 PE8 ~~ EE6 1 1 1 0.912 -0.025 -0.025 -0.045 -0.045
## 855 PE9 ~~ SI2 2 2 1 0.911 -0.050 -0.050 -0.075 -0.075
## 1109 PE3 ~~ PE9 3 3 1 0.910 -0.032 -0.032 -0.082 -0.082
## 842 PE8 ~~ SI4 2 2 1 0.885 0.040 0.040 0.074 0.074
## 504 PE9 ~~ EE4 1 1 1 0.884 -0.033 -0.033 -0.042 -0.042
## 1141 PE4 ~~ EE4 3 3 1 0.882 -0.055 -0.055 -0.073 -0.073
## 1026 FC =~ PE5 3 3 1 0.879 -0.102 -0.102 -0.090 -0.090
## 1296 FC1 ~~ EE5 3 3 1 0.872 0.089 0.089 0.074 0.074
## 1180 PE6 ~~ EE6 3 3 1 0.872 0.039 0.039 0.078 0.078
## 802 PE5 ~~ B1 2 2 1 0.870 -0.046 -0.046 -0.072 -0.072
## 917 SI4 ~~ EE6 2 2 1 0.866 -0.051 -0.051 -0.072 -0.072
## 1200 PE8 ~~ SI1 3 3 1 0.859 -0.033 -0.033 -0.099 -0.099
## 973 EE6 ~~ B1 2 2 1 0.857 0.056 0.056 0.073 0.073
## 1203 PE8 ~~ SI4 3 3 1 0.856 -0.048 -0.048 -0.076 -0.076
## 1249 SI2 ~~ FC4 3 3 1 0.852 0.057 0.057 0.086 0.086
## 880 SI1 ~~ EE5 2 2 1 0.841 -0.041 -0.041 -0.081 -0.081
## 1094 PE2 ~~ FC1 3 3 1 0.841 -0.069 -0.069 -0.072 -0.072
## 328 EE =~ PE9 1 1 1 0.834 0.039 0.039 0.029 0.029
## 1057 EE =~ FC2 3 3 1 0.834 -0.152 -0.152 -0.121 -0.121
## 1112 PE3 ~~ SI3 3 3 1 0.833 0.034 0.034 0.087 0.087
## 1159 PE5 ~~ EE3 3 3 1 0.831 0.042 0.042 0.076 0.076
## 894 SI2 ~~ EE6 2 2 1 0.830 -0.062 -0.062 -0.070 -0.070
## 1299 FC2 ~~ FC4 3 3 1 0.829 -0.093 -0.093 -0.208 -0.208
## 439 PE5 ~~ EE5 1 1 1 0.828 -0.028 -0.028 -0.040 -0.040
## 394 PE3 ~~ FC2 1 1 1 0.827 -0.024 -0.024 -0.043 -0.043
## 386 PE3 ~~ PE8 1 1 1 0.821 0.025 0.025 0.044 0.044
## 860 PE9 ~~ FC2 2 2 1 0.819 -0.041 -0.041 -0.075 -0.075
## 803 PE6 ~~ PE7 2 2 1 0.805 -0.029 -0.029 -0.077 -0.077
## 1143 PE4 ~~ EE6 3 3 1 0.800 -0.048 -0.048 -0.071 -0.071
## 407 PE4 ~~ PE9 1 1 1 0.788 -0.030 -0.030 -0.038 -0.038
## 583 FC2 ~~ EE6 1 1 1 0.782 0.024 0.024 0.043 0.043
## 939 FC2 ~~ EE1 2 2 1 0.778 0.041 0.041 0.077 0.077
## 445 PE6 ~~ SI1 1 1 1 0.778 -0.021 -0.021 -0.049 -0.049
## 810 PE6 ~~ SI5 2 2 1 0.765 -0.039 -0.039 -0.070 -0.070
## 1060 PE1 ~~ PE3 3 3 1 0.760 0.038 0.038 0.071 0.071
## 517 SI1 ~~ EE3 1 1 1 0.759 0.024 0.024 0.045 0.045
## 769 PE4 ~~ SI1 2 2 1 0.759 0.032 0.032 0.076 0.076
## 432 PE5 ~~ FC1 1 1 1 0.757 0.026 0.026 0.036 0.036
## 1004 SI =~ PE1 3 3 1 0.755 0.075 0.075 0.061 0.061
## 872 SI1 ~~ SI5 2 2 1 0.754 -0.052 -0.052 -0.080 -0.080
## 770 PE4 ~~ SI2 2 2 1 0.750 0.045 0.045 0.067 0.067
## 921 SI5 ~~ FC4 2 2 1 0.746 0.049 0.049 0.075 0.075
## 488 PE8 ~~ EE3 1 1 1 0.746 0.021 0.021 0.039 0.039
## 555 SI4 ~~ EE5 1 1 1 0.743 -0.025 -0.025 -0.038 -0.038
## 513 SI1 ~~ FC2 1 1 1 0.741 -0.021 -0.021 -0.050 -0.050
## 892 SI2 ~~ EE4 2 2 1 0.738 0.068 0.068 0.065 0.065
## 1153 PE5 ~~ SI5 3 3 1 0.735 0.056 0.056 0.066 0.066
## 450 PE6 ~~ FC1 1 1 1 0.735 -0.020 -0.020 -0.039 -0.039
## 582 FC2 ~~ EE5 1 1 1 0.732 -0.020 -0.020 -0.043 -0.043
## 1166 PE6 ~~ PE9 3 3 1 0.724 -0.029 -0.029 -0.077 -0.077
## 924 SI5 ~~ EE3 2 2 1 0.714 0.046 0.046 0.067 0.067
## 662 FC =~ PE2 2 2 1 0.712 -0.059 -0.059 -0.044 -0.044
## 1011 SI =~ PE8 3 3 1 0.702 -0.053 -0.053 -0.045 -0.045
## 321 EE =~ PE2 1 1 1 0.697 -0.038 -0.038 -0.026 -0.026
## 500 PE9 ~~ FC4 1 1 1 0.695 0.022 0.022 0.041 0.041
## 1298 FC1 ~~ B1 3 3 1 0.694 -0.089 -0.089 -0.068 -0.068
## 473 PE7 ~~ EE4 1 1 1 0.693 -0.027 -0.027 -0.036 -0.036
## 1222 PE9 ~~ FC4 3 3 1 0.689 0.030 0.030 0.081 0.081
## 1099 PE2 ~~ EE3 3 3 1 0.687 0.032 0.032 0.070 0.070
## 1046 EE =~ PE5 3 3 1 0.685 -0.069 -0.069 -0.061 -0.061
## 469 PE7 ~~ FC4 1 1 1 0.685 -0.021 -0.021 -0.040 -0.040
## 335 EE =~ FC2 1 1 1 0.681 -0.073 -0.073 -0.064 -0.064
## 1239 SI1 ~~ EE3 3 3 1 0.677 -0.034 -0.034 -0.088 -0.088
## 1251 SI2 ~~ EE2 3 3 1 0.675 0.052 0.052 0.069 0.069
## 1284 SI5 ~~ EE2 3 3 1 0.664 -0.047 -0.047 -0.068 -0.068
## 1161 PE5 ~~ EE5 3 3 1 0.662 0.044 0.044 0.065 0.065
## 733 PE2 ~~ FC1 2 2 1 0.662 -0.054 -0.054 -0.064 -0.064
## 644 SI =~ PE2 2 2 1 0.659 -0.065 -0.065 -0.049 -0.049
## 419 PE4 ~~ EE4 1 1 1 0.652 -0.034 -0.034 -0.034 -0.034
## 1117 PE3 ~~ FC4 3 3 1 0.648 0.027 0.027 0.078 0.078
## 375 PE2 ~~ EE1 1 1 1 0.648 0.023 0.023 0.038 0.038
## 1309 FC4 ~~ EE3 3 3 1 0.646 0.032 0.032 0.083 0.083
## 1218 PE9 ~~ SI4 3 3 1 0.642 0.044 0.044 0.064 0.064
## 503 PE9 ~~ EE3 1 1 1 0.642 0.023 0.023 0.035 0.035
## 447 PE6 ~~ SI3 1 1 1 0.641 -0.022 -0.022 -0.041 -0.041
## 1262 SI3 ~~ EE1 3 3 1 0.634 0.032 0.032 0.078 0.078
## 305 FC =~ PE6 1 1 1 0.631 0.038 0.038 0.029 0.029
## 1301 FC2 ~~ EE2 3 3 1 0.630 -0.037 -0.037 -0.073 -0.073
## 1018 SI =~ EE3 3 3 1 0.625 0.052 0.052 0.048 0.048
## 388 PE3 ~~ SI1 1 1 1 0.624 -0.023 -0.023 -0.042 -0.042
## 1204 PE8 ~~ SI5 3 3 1 0.622 0.040 0.040 0.065 0.065
## 938 FC2 ~~ FC4 2 2 1 0.617 -0.065 -0.065 -0.129 -0.129
## 893 SI2 ~~ EE5 2 2 1 0.613 0.050 0.050 0.061 0.061
## 410 PE4 ~~ SI3 1 1 1 0.613 -0.029 -0.029 -0.037 -0.037
## 790 PE5 ~~ SI3 2 2 1 0.607 -0.032 -0.032 -0.073 -0.073
## 919 SI5 ~~ FC1 2 2 1 0.601 -0.075 -0.075 -0.059 -0.059
## 832 PE7 ~~ EE2 2 2 1 0.600 0.027 0.027 0.065 0.065
## 1198 PE7 ~~ B1 3 3 1 0.597 0.049 0.049 0.062 0.062
## 1228 PE9 ~~ EE6 3 3 1 0.596 -0.034 -0.034 -0.063 -0.063
## 579 FC2 ~~ EE2 1 1 1 0.583 0.016 0.016 0.038 0.038
## 948 FC4 ~~ EE3 2 2 1 0.582 0.030 0.030 0.073 0.073
## 819 PE6 ~~ EE6 2 2 1 0.578 0.029 0.029 0.062 0.062
## 792 PE5 ~~ SI5 2 2 1 0.578 0.043 0.043 0.057 0.057
## 1252 SI2 ~~ EE3 3 3 1 0.573 0.049 0.049 0.062 0.062
## 1162 PE5 ~~ EE6 3 3 1 0.570 -0.040 -0.040 -0.060 -0.060
## 1243 SI1 ~~ B1 3 3 1 0.555 -0.043 -0.043 -0.081 -0.081
## 546 SI3 ~~ B1 1 1 1 0.552 0.026 0.026 0.038 0.038
## 482 PE8 ~~ SI5 1 1 1 0.546 -0.025 -0.025 -0.033 -0.033
## 1216 PE9 ~~ SI2 3 3 1 0.545 0.044 0.044 0.059 0.059
## 1102 PE2 ~~ EE6 3 3 1 0.537 -0.033 -0.033 -0.060 -0.060
## 1259 SI3 ~~ FC1 3 3 1 0.536 0.061 0.061 0.068 0.068
## 823 PE7 ~~ SI1 2 2 1 0.533 -0.028 -0.028 -0.064 -0.064
## 797 PE5 ~~ EE2 2 2 1 0.533 0.026 0.026 0.061 0.061
## 827 PE7 ~~ SI5 2 2 1 0.532 0.040 0.040 0.056 0.056
## 858 PE9 ~~ SI5 2 2 1 0.523 -0.039 -0.039 -0.056 -0.056
## 763 PE3 ~~ B1 2 2 1 0.521 0.033 0.033 0.058 0.058
## 1184 PE7 ~~ SI1 3 3 1 0.518 -0.035 -0.035 -0.071 -0.071
## 1237 SI1 ~~ EE1 3 3 1 0.518 0.028 0.028 0.075 0.075
## 451 PE6 ~~ FC2 1 1 1 0.517 -0.016 -0.016 -0.036 -0.036
## 717 PE1 ~~ EE4 2 2 1 0.512 0.047 0.047 0.054 0.054
## 1274 SI4 ~~ EE2 3 3 1 0.512 0.042 0.042 0.059 0.059
## 833 PE7 ~~ EE3 2 2 1 0.510 -0.027 -0.027 -0.058 -0.058
## 1071 PE1 ~~ SI5 3 3 1 0.505 -0.050 -0.050 -0.055 -0.055
## 367 PE2 ~~ SI1 1 1 1 0.505 -0.021 -0.021 -0.038 -0.038
## 677 FC =~ EE3 2 2 1 0.502 0.134 0.134 0.123 0.123
## 1247 SI2 ~~ FC1 3 3 1 0.500 0.090 0.090 0.054 0.054
## 728 PE2 ~~ SI1 2 2 1 0.496 0.027 0.027 0.063 0.063
## 1006 SI =~ PE3 3 3 1 0.495 0.044 0.044 0.043 0.043
## 558 SI5 ~~ FC1 1 1 1 0.486 -0.025 -0.025 -0.029 -0.029
## 760 PE3 ~~ EE4 2 2 1 0.485 -0.037 -0.037 -0.054 -0.054
## 824 PE7 ~~ SI2 2 2 1 0.480 -0.038 -0.038 -0.054 -0.054
## 997 PE =~ FC4 3 3 1 0.478 -0.093 -0.093 -0.079 -0.079
## 1250 SI2 ~~ EE1 3 3 1 0.477 -0.043 -0.043 -0.056 -0.056
## 643 SI =~ PE1 2 2 1 0.475 0.065 0.065 0.052 0.052
## 808 PE6 ~~ SI3 2 2 1 0.472 -0.023 -0.023 -0.069 -0.069
## 1080 PE1 ~~ EE6 3 3 1 0.469 -0.040 -0.040 -0.054 -0.054
## 946 FC4 ~~ EE1 2 2 1 0.465 0.027 0.027 0.066 0.066
## 1310 FC4 ~~ EE4 3 3 1 0.462 0.034 0.034 0.064 0.064
## 916 SI4 ~~ EE5 2 2 1 0.459 -0.034 -0.034 -0.053 -0.053
## 844 PE8 ~~ FC1 2 2 1 0.454 -0.044 -0.044 -0.053 -0.053
## 470 PE7 ~~ EE1 1 1 1 0.447 -0.017 -0.017 -0.031 -0.031
## 638 PE =~ EE2 2 2 1 0.440 0.042 0.042 0.039 0.039
## 834 PE7 ~~ EE4 2 2 1 0.437 -0.036 -0.036 -0.051 -0.051
## 1173 PE6 ~~ FC2 3 3 1 0.437 0.027 0.027 0.058 0.058
## 463 PE7 ~~ SI2 1 1 1 0.435 0.021 0.021 0.029 0.029
## 705 PE1 ~~ PE9 2 2 1 0.432 -0.029 -0.029 -0.052 -0.052
## 888 SI2 ~~ FC4 2 2 1 0.425 0.036 0.036 0.057 0.057
## 1123 PE3 ~~ EE6 3 3 1 0.424 -0.027 -0.027 -0.053 -0.053
## 486 PE8 ~~ EE1 1 1 1 0.422 -0.015 -0.015 -0.032 -0.032
## 1124 PE3 ~~ B1 3 3 1 0.421 -0.030 -0.030 -0.054 -0.054
## 954 EE1 ~~ EE3 2 2 1 0.417 0.026 0.026 0.059 0.059
## 1196 PE7 ~~ EE5 3 3 1 0.416 0.037 0.037 0.051 0.051
## 1264 SI3 ~~ EE3 3 3 1 0.413 -0.028 -0.028 -0.064 -0.064
## 474 PE7 ~~ EE5 1 1 1 0.411 0.016 0.016 0.029 0.029
## 340 PE1 ~~ PE5 1 1 1 0.408 0.023 0.023 0.027 0.027
## 1223 PE9 ~~ EE1 3 3 1 0.406 0.023 0.023 0.054 0.054
## 931 FC1 ~~ EE1 2 2 1 0.406 -0.041 -0.041 -0.052 -0.052
## 1221 PE9 ~~ FC2 3 3 1 0.404 -0.028 -0.028 -0.055 -0.055
## 399 PE3 ~~ EE4 1 1 1 0.404 -0.024 -0.024 -0.028 -0.028
## 377 PE2 ~~ EE3 1 1 1 0.403 -0.019 -0.019 -0.028 -0.028
## 793 PE5 ~~ FC1 2 2 1 0.401 0.043 0.043 0.048 0.048
## 749 PE3 ~~ SI1 2 2 1 0.399 0.023 0.023 0.056 0.056
## 795 PE5 ~~ FC4 2 2 1 0.396 -0.025 -0.025 -0.055 -0.055
## 1294 FC1 ~~ EE3 3 3 1 0.393 0.050 0.050 0.052 0.052
## 773 PE4 ~~ SI5 2 2 1 0.392 0.033 0.033 0.048 0.048
## 1110 PE3 ~~ SI1 3 3 1 0.388 0.022 0.022 0.064 0.064
## 805 PE6 ~~ PE9 2 2 1 0.379 0.019 0.019 0.054 0.054
## 417 PE4 ~~ EE2 1 1 1 0.376 0.017 0.017 0.027 0.027
## 755 PE3 ~~ FC2 2 2 1 0.376 -0.027 -0.027 -0.051 -0.051
## 444 PE6 ~~ PE9 1 1 1 0.371 -0.016 -0.016 -0.030 -0.030
## 1277 SI4 ~~ EE5 3 3 1 0.369 -0.044 -0.044 -0.048 -0.048
## 368 PE2 ~~ SI2 1 1 1 0.366 -0.022 -0.022 -0.027 -0.027
## 467 PE7 ~~ FC1 1 1 1 0.365 0.015 0.015 0.026 0.026
## 666 FC =~ PE6 2 2 1 0.361 0.034 0.034 0.028 0.028
## 1305 FC2 ~~ EE6 3 3 1 0.361 -0.034 -0.034 -0.051 -0.051
## 1148 PE5 ~~ PE9 3 3 1 0.355 -0.025 -0.025 -0.049 -0.049
## 905 SI3 ~~ EE5 2 2 1 0.350 0.028 0.028 0.057 0.057
## 895 SI2 ~~ B1 2 2 1 0.349 0.041 0.041 0.046 0.046
## 950 FC4 ~~ EE5 2 2 1 0.348 -0.027 -0.027 -0.054 -0.054
## 652 SI =~ FC1 2 2 1 0.346 -0.069 -0.069 -0.045 -0.045
## 1260 SI3 ~~ FC2 3 3 1 0.346 0.029 0.029 0.059 0.059
## 507 PE9 ~~ B1 1 1 1 0.344 0.018 0.018 0.026 0.026
## 689 EE =~ PE9 2 2 1 0.341 -0.038 -0.038 -0.030 -0.030
## 457 PE6 ~~ EE5 1 1 1 0.340 0.014 0.014 0.028 0.028
## 1108 PE3 ~~ PE8 3 3 1 0.336 -0.019 -0.019 -0.052 -0.052
## 878 SI1 ~~ EE3 2 2 1 0.334 0.022 0.022 0.052 0.052
## 713 PE1 ~~ FC4 2 2 1 0.331 -0.027 -0.027 -0.050 -0.050
## 560 SI5 ~~ FC4 1 1 1 0.330 0.022 0.022 0.027 0.027
## 484 PE8 ~~ FC2 1 1 1 0.324 -0.012 -0.012 -0.029 -0.029
## 654 SI =~ FC4 2 2 1 0.323 0.048 0.048 0.040 0.040
## 1135 PE4 ~~ FC1 3 3 1 0.322 0.050 0.050 0.044 0.044
## 947 FC4 ~~ EE2 2 2 1 0.317 -0.021 -0.021 -0.057 -0.057
## 886 SI2 ~~ FC1 2 2 1 0.312 0.053 0.053 0.043 0.043
## 317 FC =~ EE4 1 1 1 0.311 -0.056 -0.056 -0.039 -0.039
## 818 PE6 ~~ EE5 2 2 1 0.306 0.020 0.020 0.046 0.046
## 1029 FC =~ PE8 3 3 1 0.298 -0.047 -0.047 -0.040 -0.040
## 774 PE4 ~~ FC1 2 2 1 0.297 0.035 0.035 0.042 0.042
## 1183 PE7 ~~ PE9 3 3 1 0.294 -0.024 -0.024 -0.044 -0.044
## 441 PE5 ~~ B1 1 1 1 0.293 -0.020 -0.020 -0.023 -0.023
## 780 PE4 ~~ EE4 2 2 1 0.291 -0.028 -0.028 -0.041 -0.041
## 308 FC =~ PE9 1 1 1 0.290 0.029 0.029 0.022 0.022
## 852 PE8 ~~ EE6 2 2 1 0.286 0.025 0.025 0.042 0.042
## 533 SI2 ~~ EE6 1 1 1 0.282 -0.020 -0.020 -0.024 -0.024
## 923 SI5 ~~ EE2 2 2 1 0.279 0.027 0.027 0.043 0.043
## 694 EE =~ SI5 2 2 1 0.278 -0.047 -0.047 -0.038 -0.038
## 489 PE8 ~~ EE4 1 1 1 0.275 0.016 0.016 0.024 0.024
## 1286 SI5 ~~ EE4 3 3 1 0.272 -0.040 -0.040 -0.040 -0.040
## 1010 SI =~ PE7 3 3 1 0.270 -0.044 -0.044 -0.037 -0.037
## 853 PE8 ~~ B1 2 2 1 0.270 0.024 0.024 0.042 0.042
## 967 EE3 ~~ B1 2 2 1 0.266 -0.025 -0.025 -0.043 -0.043
## 525 SI2 ~~ FC1 1 1 1 0.264 0.016 0.016 0.022 0.022
## 877 SI1 ~~ EE2 2 2 1 0.264 0.018 0.018 0.048 0.048
## 687 EE =~ PE7 2 2 1 0.261 -0.034 -0.034 -0.028 -0.028
## 416 PE4 ~~ EE1 1 1 1 0.261 -0.016 -0.016 -0.023 -0.023
## 874 SI1 ~~ FC2 2 2 1 0.256 -0.024 -0.024 -0.047 -0.047
## 1225 PE9 ~~ EE3 3 3 1 0.254 -0.019 -0.019 -0.043 -0.043
## 1201 PE8 ~~ SI2 3 3 1 0.253 0.028 0.028 0.041 0.041
## 856 PE9 ~~ SI3 2 2 1 0.253 0.020 0.020 0.048 0.048
## 472 PE7 ~~ EE3 1 1 1 0.247 -0.013 -0.013 -0.021 -0.021
## 1129 PE4 ~~ PE9 3 3 1 0.243 0.021 0.021 0.041 0.041
## 345 PE1 ~~ SI1 1 1 1 0.239 -0.014 -0.014 -0.025 -0.025
## 516 SI1 ~~ EE2 1 1 1 0.234 0.011 0.011 0.027 0.027
## 270 PE =~ SI3 1 1 1 0.233 -0.024 -0.024 -0.017 -0.017
## 1167 PE6 ~~ SI1 3 3 1 0.229 -0.017 -0.017 -0.050 -0.050
## 1227 PE9 ~~ EE5 3 3 1 0.222 0.021 0.021 0.039 0.039
## 1292 FC1 ~~ EE1 3 3 1 0.219 -0.036 -0.036 -0.038 -0.038
## 1075 PE1 ~~ EE1 3 3 1 0.215 -0.022 -0.022 -0.038 -0.038
## 719 PE1 ~~ EE6 2 2 1 0.214 0.026 0.026 0.035 0.035
## 1267 SI3 ~~ EE6 3 3 1 0.214 0.023 0.023 0.044 0.044
## 759 PE3 ~~ EE3 2 2 1 0.204 0.016 0.016 0.037 0.037
## 686 EE =~ PE6 2 2 1 0.202 0.025 0.025 0.020 0.020
## 459 PE6 ~~ B1 1 1 1 0.199 -0.012 -0.012 -0.020 -0.020
## 854 PE9 ~~ SI1 2 2 1 0.197 0.016 0.016 0.039 0.039
## 999 PE =~ EE2 3 3 1 0.194 -0.033 -0.033 -0.031 -0.031
## 1253 SI2 ~~ EE4 3 3 1 0.194 -0.037 -0.037 -0.034 -0.034
## 352 PE1 ~~ FC4 1 1 1 0.193 -0.013 -0.013 -0.021 -0.021
## 1270 SI4 ~~ FC1 3 3 1 0.189 0.051 0.051 0.033 0.033
## 667 FC =~ PE7 2 2 1 0.188 0.030 0.030 0.025 0.025
## 1095 PE2 ~~ FC2 3 3 1 0.180 0.019 0.019 0.036 0.036
## 353 PE1 ~~ EE1 1 1 1 0.180 -0.012 -0.012 -0.019 -0.019
## 1142 PE4 ~~ EE5 3 3 1 0.179 0.023 0.023 0.034 0.034
## 366 PE2 ~~ PE9 1 1 1 0.177 -0.013 -0.013 -0.020 -0.020
## 727 PE2 ~~ PE9 2 2 1 0.174 0.016 0.016 0.035 0.035
## 1174 PE6 ~~ FC4 3 3 1 0.174 0.014 0.014 0.041 0.041
## 297 SI =~ EE4 1 1 1 0.168 -0.020 -0.020 -0.014 -0.014
## 1030 FC =~ PE9 3 3 1 0.167 -0.037 -0.037 -0.032 -0.032
## 567 SI5 ~~ B1 1 1 1 0.166 0.018 0.018 0.017 0.017
## 1066 PE1 ~~ PE9 3 3 1 0.165 -0.019 -0.019 -0.034 -0.034
## 373 PE2 ~~ FC2 1 1 1 0.165 -0.011 -0.011 -0.020 -0.020
## 478 PE8 ~~ SI1 1 1 1 0.163 0.009 0.009 0.022 0.022
## 812 PE6 ~~ FC2 2 2 1 0.158 0.015 0.015 0.034 0.034
## 914 SI4 ~~ EE3 2 2 1 0.155 0.017 0.017 0.032 0.032
## 537 SI3 ~~ FC1 1 1 1 0.153 -0.011 -0.011 -0.019 -0.019
## 446 PE6 ~~ SI2 1 1 1 0.151 -0.012 -0.012 -0.018 -0.018
## 557 SI4 ~~ B1 1 1 1 0.149 0.013 0.013 0.016 0.016
## 1128 PE4 ~~ PE8 3 3 1 0.147 0.016 0.016 0.033 0.033
## 1103 PE2 ~~ B1 3 3 1 0.146 -0.019 -0.019 -0.032 -0.032
## 1226 PE9 ~~ EE4 3 3 1 0.145 0.018 0.018 0.031 0.031
## 730 PE2 ~~ SI3 2 2 1 0.144 0.015 0.015 0.037 0.037
## 861 PE9 ~~ FC4 2 2 1 0.144 0.014 0.014 0.034 0.034
## 815 PE6 ~~ EE2 2 2 1 0.141 -0.011 -0.011 -0.033 -0.033
## 676 FC =~ EE2 2 2 1 0.140 0.068 0.068 0.063 0.063
## 1333 EE5 ~~ B1 3 3 1 0.137 0.024 0.024 0.031 0.031
## 902 SI3 ~~ EE2 2 2 1 0.136 -0.014 -0.014 -0.038 -0.038
## 357 PE1 ~~ EE5 1 1 1 0.133 0.010 0.010 0.016 0.016
## 393 PE3 ~~ FC1 1 1 1 0.132 -0.010 -0.010 -0.016 -0.016
## 817 PE6 ~~ EE4 2 2 1 0.129 0.016 0.016 0.029 0.029
## 454 PE6 ~~ EE2 1 1 1 0.128 -0.007 -0.007 -0.017 -0.017
## 1191 PE7 ~~ FC4 3 3 1 0.121 -0.016 -0.016 -0.033 -0.033
## 1147 PE5 ~~ PE8 3 3 1 0.120 -0.014 -0.014 -0.030 -0.030
## 1140 PE4 ~~ EE3 3 3 1 0.119 0.016 0.016 0.029 0.029
## 756 PE3 ~~ FC4 2 2 1 0.119 -0.013 -0.013 -0.031 -0.031
## 1300 FC2 ~~ EE1 3 3 1 0.118 -0.016 -0.016 -0.030 -0.030
## 901 SI3 ~~ EE1 2 2 1 0.113 0.013 0.013 0.033 0.033
## 940 FC2 ~~ EE2 2 2 1 0.110 0.015 0.015 0.030 0.030
## 925 SI5 ~~ EE4 2 2 1 0.109 -0.027 -0.027 -0.025 -0.025
## 859 PE9 ~~ FC1 2 2 1 0.109 0.021 0.021 0.026 0.026
## 830 PE7 ~~ FC4 2 2 1 0.108 -0.013 -0.013 -0.029 -0.029
## 807 PE6 ~~ SI2 2 2 1 0.104 -0.014 -0.014 -0.026 -0.026
## 711 PE1 ~~ FC1 2 2 1 0.103 0.025 0.025 0.024 0.024
## 772 PE4 ~~ SI4 2 2 1 0.102 0.013 0.013 0.025 0.025
## 462 PE7 ~~ SI1 1 1 1 0.102 0.008 0.008 0.017 0.017
## 1210 PE8 ~~ EE3 3 3 1 0.097 0.011 0.011 0.028 0.028
## 822 PE7 ~~ PE9 2 2 1 0.096 0.012 0.012 0.025 0.025
## 1261 SI3 ~~ FC4 3 3 1 0.096 -0.013 -0.013 -0.035 -0.035
## 495 PE9 ~~ SI3 1 1 1 0.095 -0.009 -0.009 -0.015 -0.015
## 1219 PE9 ~~ SI5 3 3 1 0.095 0.017 0.017 0.025 0.025
## 347 PE1 ~~ SI3 1 1 1 0.094 -0.010 -0.010 -0.015 -0.015
## 897 SI3 ~~ SI5 2 2 1 0.094 0.020 0.020 0.032 0.032
## 490 PE8 ~~ EE5 1 1 1 0.093 -0.007 -0.007 -0.015 -0.015
## 1177 PE6 ~~ EE3 3 3 1 0.093 -0.011 -0.011 -0.027 -0.027
## 398 PE3 ~~ EE3 1 1 1 0.091 0.009 0.009 0.013 0.013
## 865 PE9 ~~ EE4 2 2 1 0.091 0.016 0.016 0.023 0.023
## 1062 PE1 ~~ PE5 3 3 1 0.090 -0.016 -0.016 -0.024 -0.024
## 1240 SI1 ~~ EE4 3 3 1 0.090 0.016 0.016 0.030 0.030
## 869 SI1 ~~ SI2 2 2 1 0.090 0.018 0.018 0.029 0.029
## 1013 SI =~ FC1 3 3 1 0.088 0.038 0.038 0.023 0.023
## 1281 SI5 ~~ FC2 3 3 1 0.087 0.020 0.020 0.024 0.024
## 1273 SI4 ~~ EE1 3 3 1 0.086 -0.017 -0.017 -0.023 -0.023
## 1316 EE1 ~~ EE4 3 3 1 0.085 -0.015 -0.015 -0.025 -0.025
## 1234 SI1 ~~ FC1 3 3 1 0.084 0.023 0.023 0.028 0.028
## 1091 PE2 ~~ SI3 3 3 1 0.084 0.012 0.012 0.028 0.028
## 800 PE5 ~~ EE5 2 2 1 0.081 -0.013 -0.013 -0.022 -0.022
## 1208 PE8 ~~ EE1 3 3 1 0.081 -0.010 -0.010 -0.025 -0.025
## 1266 SI3 ~~ EE5 3 3 1 0.080 -0.014 -0.014 -0.027 -0.027
## 460 PE7 ~~ PE8 1 1 1 0.078 -0.007 -0.007 -0.014 -0.014
## 814 PE6 ~~ EE1 2 2 1 0.077 0.008 0.008 0.024 0.024
## 958 EE1 ~~ B1 2 2 1 0.075 -0.013 -0.013 -0.023 -0.023
## 1067 PE1 ~~ SI1 3 3 1 0.072 -0.013 -0.013 -0.027 -0.027
## 742 PE2 ~~ B1 2 2 1 0.072 0.013 0.013 0.022 0.022
## 887 SI2 ~~ FC2 2 2 1 0.071 0.018 0.018 0.022 0.022
## 1189 PE7 ~~ FC1 3 3 1 0.071 0.025 0.025 0.020 0.020
## 678 FC =~ EE4 2 2 1 0.070 -0.068 -0.068 -0.055 -0.055
## 369 PE2 ~~ SI3 1 1 1 0.070 0.009 0.009 0.013 0.013
## 1028 FC =~ PE7 3 3 1 0.070 0.030 0.030 0.026 0.026
## 909 SI4 ~~ FC1 2 2 1 0.069 0.020 0.020 0.020 0.020
## 720 PE1 ~~ B1 2 2 1 0.068 0.015 0.015 0.020 0.020
## 835 PE7 ~~ EE5 2 2 1 0.068 0.011 0.011 0.021 0.021
## 657 SI =~ EE3 2 2 1 0.066 0.016 0.016 0.015 0.015
## 1229 PE9 ~~ B1 3 3 1 0.066 -0.013 -0.013 -0.022 -0.022
## 538 SI3 ~~ FC2 1 1 1 0.065 0.007 0.007 0.014 0.014
## 697 EE =~ FC4 2 2 1 0.060 -0.070 -0.070 -0.058 -0.058
## 414 PE4 ~~ FC2 1 1 1 0.060 0.007 0.007 0.011 0.011
## 1121 PE3 ~~ EE4 3 3 1 0.059 -0.011 -0.011 -0.019 -0.019
## 519 SI1 ~~ EE5 1 1 1 0.058 -0.006 -0.006 -0.013 -0.013
## 1279 SI4 ~~ B1 3 3 1 0.057 0.019 0.019 0.019 0.019
## 726 PE2 ~~ PE8 2 2 1 0.056 0.009 0.009 0.020 0.020
## 420 PE4 ~~ EE5 1 1 1 0.055 -0.008 -0.008 -0.010 -0.010
## 323 EE =~ PE4 1 1 1 0.054 -0.012 -0.012 -0.010 -0.010
## 1009 SI =~ PE6 3 3 1 0.054 -0.014 -0.014 -0.013 -0.013
## 1044 EE =~ PE3 3 3 1 0.051 -0.015 -0.015 -0.014 -0.014
## 737 PE2 ~~ EE2 2 2 1 0.047 0.008 0.008 0.019 0.019
## 1037 FC =~ EE2 3 3 1 0.047 0.028 0.028 0.026 0.026
## 1061 PE1 ~~ PE4 3 3 1 0.047 0.012 0.012 0.017 0.017
## 735 PE2 ~~ FC4 2 2 1 0.046 -0.008 -0.008 -0.019 -0.019
## 669 FC =~ PE9 2 2 1 0.045 -0.014 -0.014 -0.011 -0.011
## 775 PE4 ~~ FC2 2 2 1 0.042 0.009 0.009 0.017 0.017
## 867 PE9 ~~ EE6 2 2 1 0.041 -0.009 -0.009 -0.016 -0.016
## 944 FC2 ~~ EE6 2 2 1 0.040 0.012 0.012 0.017 0.017
## 674 FC =~ SI5 2 2 1 0.040 0.019 0.019 0.015 0.015
## 633 PE =~ SI5 2 2 1 0.039 -0.022 -0.022 -0.018 -0.018
## 471 PE7 ~~ EE2 1 1 1 0.036 0.004 0.004 0.009 0.009
## 653 SI =~ FC2 2 2 1 0.036 -0.017 -0.017 -0.013 -0.013
## 303 FC =~ PE4 1 1 1 0.036 0.012 0.012 0.010 0.010
## 543 SI3 ~~ EE4 1 1 1 0.034 0.007 0.007 0.009 0.009
## 349 PE1 ~~ SI5 1 1 1 0.033 -0.008 -0.008 -0.008 -0.008
## 1081 PE1 ~~ B1 3 3 1 0.032 0.011 0.011 0.014 0.014
## 920 SI5 ~~ FC2 2 2 1 0.031 -0.012 -0.012 -0.014 -0.014
## 1303 FC2 ~~ EE4 3 3 1 0.030 -0.011 -0.011 -0.014 -0.014
## 794 PE5 ~~ FC2 2 2 1 0.026 0.008 0.008 0.013 0.013
## 1238 SI1 ~~ EE2 3 3 1 0.024 -0.006 -0.006 -0.017 -0.017
## 1255 SI2 ~~ EE6 3 3 1 0.024 -0.012 -0.012 -0.012 -0.012
## 421 PE4 ~~ EE6 1 1 1 0.023 0.006 0.006 0.007 0.007
## 1268 SI3 ~~ B1 3 3 1 0.023 0.009 0.009 0.015 0.015
## 542 SI3 ~~ EE3 1 1 1 0.023 0.005 0.005 0.007 0.007
## 913 SI4 ~~ EE2 2 2 1 0.022 0.006 0.006 0.012 0.012
## 801 PE5 ~~ EE6 2 2 1 0.022 -0.007 -0.007 -0.011 -0.011
## 758 PE3 ~~ EE2 2 2 1 0.018 -0.004 -0.004 -0.012 -0.012
## 1230 SI1 ~~ SI2 3 3 1 0.017 -0.010 -0.010 -0.016 -0.016
## 941 FC2 ~~ EE3 2 2 1 0.016 0.006 0.006 0.011 0.011
## 1246 SI2 ~~ SI5 3 3 1 0.016 0.012 0.012 0.010 0.010
## 771 PE4 ~~ SI3 2 2 1 0.015 -0.005 -0.005 -0.012 -0.012
## 904 SI3 ~~ EE4 2 2 1 0.015 0.007 0.007 0.011 0.011
## 1214 PE8 ~~ B1 3 3 1 0.015 0.006 0.006 0.011 0.011
## 530 SI2 ~~ EE3 1 1 1 0.013 -0.004 -0.004 -0.005 -0.005
## 588 FC4 ~~ EE4 1 1 1 0.013 -0.004 -0.004 -0.006 -0.006
## 456 PE6 ~~ EE4 1 1 1 0.012 0.003 0.003 0.005 0.005
## 753 PE3 ~~ SI5 2 2 1 0.012 -0.006 -0.006 -0.008 -0.008
## 1012 SI =~ PE9 3 3 1 0.012 -0.007 -0.007 -0.006 -0.006
## 370 PE2 ~~ SI4 1 1 1 0.012 0.004 0.004 0.005 0.005
## 1202 PE8 ~~ SI3 3 3 1 0.011 0.004 0.004 0.010 0.010
## 840 PE8 ~~ SI2 2 2 1 0.011 0.005 0.005 0.008 0.008
## 1033 FC =~ SI3 3 3 1 0.010 -0.008 -0.008 -0.006 -0.006
## 436 PE5 ~~ EE2 1 1 1 0.010 0.003 0.003 0.004 0.004
## 426 PE5 ~~ PE9 1 1 1 0.010 0.003 0.003 0.004 0.004
## 1053 EE =~ SI3 3 3 1 0.008 0.007 0.007 0.005 0.005
## 333 EE =~ SI5 1 1 1 0.008 -0.005 -0.005 -0.003 -0.003
## 704 PE1 ~~ PE8 2 2 1 0.008 -0.004 -0.004 -0.007 -0.007
## 1151 PE5 ~~ SI3 3 3 1 0.007 0.004 0.004 0.008 0.008
## 499 PE9 ~~ FC2 1 1 1 0.007 0.002 0.002 0.004 0.004
## 1058 EE =~ FC4 3 3 1 0.007 -0.014 -0.014 -0.012 -0.012
## 910 SI4 ~~ FC2 2 2 1 0.007 -0.004 -0.004 -0.007 -0.007
## 1049 EE =~ PE8 3 3 1 0.007 -0.006 -0.006 -0.005 -0.005
## 841 PE8 ~~ SI3 2 2 1 0.006 -0.003 -0.003 -0.008 -0.008
## 879 SI1 ~~ EE4 2 2 1 0.006 0.004 0.004 0.007 0.007
## 1132 PE4 ~~ SI3 3 3 1 0.006 0.004 0.004 0.007 0.007
## 1008 SI =~ PE5 3 3 1 0.006 -0.006 -0.006 -0.006 -0.006
## 435 PE5 ~~ EE1 1 1 1 0.006 -0.002 -0.002 -0.004 -0.004
## 806 PE6 ~~ SI1 2 2 1 0.006 0.002 0.002 0.007 0.007
## 1114 PE3 ~~ SI5 3 3 1 0.006 -0.004 -0.004 -0.006 -0.006
## 750 PE3 ~~ SI2 2 2 1 0.006 0.004 0.004 0.006 0.006
## 751 PE3 ~~ SI3 2 2 1 0.005 -0.003 -0.003 -0.007 -0.007
## 1139 PE4 ~~ EE2 3 3 1 0.005 0.003 0.003 0.006 0.006
## 1265 SI3 ~~ EE4 3 3 1 0.005 -0.004 -0.004 -0.007 -0.007
## 843 PE8 ~~ SI5 2 2 1 0.005 0.004 0.004 0.005 0.005
## 847 PE8 ~~ EE1 2 2 1 0.005 0.002 0.002 0.006 0.006
## 922 SI5 ~~ EE1 2 2 1 0.005 -0.004 -0.004 -0.006 -0.006
## 529 SI2 ~~ EE2 1 1 1 0.005 0.002 0.002 0.003 0.003
## 1283 SI5 ~~ EE1 3 3 1 0.005 0.004 0.004 0.006 0.006
## 658 SI =~ EE4 2 2 1 0.005 0.006 0.006 0.005 0.005
## 873 SI1 ~~ FC1 2 2 1 0.003 -0.004 -0.004 -0.005 -0.005
## 291 SI =~ FC1 1 1 1 0.003 0.002 0.002 0.003 0.003
## 732 PE2 ~~ SI5 2 2 1 0.003 -0.003 -0.003 -0.004 -0.004
## 933 FC1 ~~ EE3 2 2 1 0.003 -0.004 -0.004 -0.005 -0.005
## 520 SI1 ~~ EE6 1 1 1 0.003 -0.002 -0.002 -0.003 -0.003
## 1308 FC4 ~~ EE2 3 3 1 0.003 0.002 0.002 0.006 0.006
## 1206 PE8 ~~ FC2 3 3 1 0.003 -0.002 -0.002 -0.005 -0.005
## 682 EE =~ PE2 2 2 1 0.002 0.003 0.003 0.002 0.002
## 640 PE =~ EE4 2 2 1 0.002 0.005 0.005 0.004 0.004
## 706 PE1 ~~ SI1 2 2 1 0.002 0.002 0.002 0.004 0.004
## 1256 SI2 ~~ B1 3 3 1 0.002 -0.004 -0.004 -0.004 -0.004
## 1207 PE8 ~~ FC4 3 3 1 0.002 -0.002 -0.002 -0.005 -0.005
## 864 PE9 ~~ EE3 2 2 1 0.002 0.002 0.002 0.004 0.004
## 440 PE5 ~~ EE6 1 1 1 0.002 -0.002 -0.002 -0.002 -0.002
## 1241 SI1 ~~ EE5 3 3 1 0.001 -0.002 -0.002 -0.004 -0.004
## 389 PE3 ~~ SI2 1 1 1 0.001 0.001 0.001 0.001 0.001
## 848 PE8 ~~ EE2 2 2 1 0.001 0.001 0.001 0.003 0.003
## 1242 SI1 ~~ EE6 3 3 1 0.001 0.002 0.002 0.003 0.003
## 820 PE6 ~~ B1 2 2 1 0.001 -0.001 -0.001 -0.003 -0.003
## 550 SI4 ~~ FC4 1 1 1 0.001 -0.001 -0.001 -0.001 -0.001
## 521 SI1 ~~ B1 1 1 1 0.001 0.001 0.001 0.002 0.002
## 715 PE1 ~~ EE2 2 2 1 0.001 0.001 0.001 0.002 0.002
## 1331 EE4 ~~ B1 3 3 1 0.000 0.001 0.001 0.002 0.002
## 496 PE9 ~~ SI4 1 1 1 0.000 0.001 0.001 0.001 0.001
## 1017 SI =~ EE2 3 3 1 0.000 0.001 0.001 0.001 0.001
## 836 PE7 ~~ EE6 2 2 1 0.000 -0.001 -0.001 -0.001 -0.001
## 1263 SI3 ~~ EE2 3 3 1 0.000 0.000 0.000 0.001 0.001
## 1134 PE4 ~~ SI5 3 3 1 0.000 0.001 0.001 0.001 0.001
## 1074 PE1 ~~ FC4 3 3 1 0.000 0.000 0.000 0.001 0.001overallmod2.2 <- 'PE =~ PE1 + PE2 + PE3 + PE4 + PE5 + PE6 + PE7 + PE8 + PE9
SI =~ SI1 + SI2 + SI3 + SI4 + SI5
FC =~ FC1 + FC2 + FC4
EE =~ EE1 + EE2 + EE3 + EE4 + EE5 + EE6
B1 ~ PE + SI + FC + EE
EE5 ~~ EE6
EE5 ~~ EE4
EE6 ~~ EE4
PE4 ~~ PE5
'
#fit the model
overallmod2.2 <- cfa(model = overallmod2.2, data = likertscollapsed,
std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", group = "STROBEFamiliarity")
#display the summary output
summary(overallmod2.2, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 82 iterations
##
## Optimization method NLMINB
## Number of free parameters 255
##
## Number of observations per group
## 3 635
## 1 195
## 2 185
##
## Estimator ML Robust
## Model Fit Test Statistic 2359.764 1931.539
## Degrees of freedom 717 717
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.222
## for the Satorra-Bentler correction
##
## Chi-square for each group:
##
## 3 1181.456 967.058
## 1 574.773 470.469
## 2 603.535 494.012
##
## Model test baseline model:
##
## Minimum Function Test Statistic 17527.768 12160.318
## Degrees of freedom 828 828
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.902 0.893
## Tucker-Lewis Index (TLI) 0.886 0.876
##
## Robust Comparative Fit Index (CFI) 0.909
## Robust Tucker-Lewis Index (TLI) 0.895
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -31989.467 -31989.467
## Loglikelihood unrestricted model (H1) -30809.585 -30809.585
##
## Number of free parameters 255 255
## Akaike (AIC) 64488.934 64488.934
## Bayesian (BIC) 65744.208 65744.208
## Sample-size adjusted Bayesian (BIC) 64934.306 64934.306
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.082 0.071
## 90 Percent Confidence Interval 0.079 0.086 0.067 0.074
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.078
## 90 Percent Confidence Interval 0.074 0.082
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.072 0.072
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
##
## Group 1 [3]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.786 0.058 13.451 0.000 0.786 0.665
## PE2 1.185 0.041 28.953 0.000 1.185 0.818
## PE3 1.040 0.044 23.652 0.000 1.040 0.775
## PE4 0.611 0.055 11.102 0.000 0.611 0.511
## PE5 0.659 0.053 12.383 0.000 0.659 0.553
## PE6 1.138 0.043 26.154 0.000 1.138 0.864
## PE7 0.908 0.056 16.339 0.000 0.908 0.767
## PE8 1.148 0.044 26.362 0.000 1.148 0.870
## PE9 1.067 0.047 22.917 0.000 1.067 0.804
## SI =~
## SI1 1.125 0.044 25.406 0.000 1.125 0.870
## SI2 0.812 0.053 15.228 0.000 0.812 0.639
## SI3 1.168 0.050 23.504 0.000 1.168 0.831
## SI4 0.492 0.051 9.605 0.000 0.492 0.473
## SI5 0.762 0.060 12.803 0.000 0.762 0.549
## FC =~
## FC1 0.522 0.047 11.190 0.000 0.522 0.567
## FC2 0.932 0.050 18.748 0.000 0.932 0.817
## FC4 1.050 0.043 24.254 0.000 1.050 0.843
## EE =~
## EE1 1.101 0.046 23.850 0.000 1.101 0.887
## EE2 0.917 0.046 19.731 0.000 0.917 0.866
## EE3 0.749 0.050 15.004 0.000 0.749 0.693
## EE4 0.870 0.051 16.922 0.000 0.870 0.604
## EE5 0.818 0.054 15.277 0.000 0.818 0.671
## EE6 0.790 0.055 14.236 0.000 0.790 0.598
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.428 0.091 4.729 0.000 0.428 0.326
## SI 0.262 0.059 4.443 0.000 0.262 0.199
## FC 0.569 0.169 3.362 0.001 0.569 0.433
## EE -0.158 0.122 -1.298 0.194 -0.158 -0.120
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EE5 ~~
## .EE6 0.667 0.103 6.475 0.000 0.667 0.696
## .EE4 ~~
## .EE5 0.441 0.089 4.978 0.000 0.441 0.425
## .EE6 0.586 0.094 6.266 0.000 0.586 0.483
## .PE4 ~~
## .PE5 0.639 0.069 9.330 0.000 0.639 0.627
## PE ~~
## SI 0.497 0.038 12.937 0.000 0.497 0.497
## FC 0.693 0.038 18.147 0.000 0.693 0.693
## EE 0.549 0.038 14.585 0.000 0.549 0.549
## SI ~~
## FC 0.495 0.040 12.283 0.000 0.495 0.495
## EE 0.355 0.045 7.882 0.000 0.355 0.355
## FC ~~
## EE 0.822 0.030 27.600 0.000 0.822 0.822
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 5.636 0.047 120.173 0.000 5.636 4.769
## .PE2 4.430 0.057 77.086 0.000 4.430 3.059
## .PE3 4.113 0.053 77.163 0.000 4.113 3.062
## .PE4 5.302 0.047 111.864 0.000 5.302 4.439
## .PE5 5.117 0.047 108.097 0.000 5.117 4.290
## .PE6 4.806 0.052 91.972 0.000 4.806 3.650
## .PE7 5.576 0.047 118.758 0.000 5.576 4.713
## .PE8 4.789 0.052 91.452 0.000 4.789 3.629
## .PE9 4.631 0.053 87.888 0.000 4.631 3.488
## .SI1 4.613 0.051 89.849 0.000 4.613 3.566
## .SI2 5.112 0.050 101.385 0.000 5.112 4.023
## .SI3 4.452 0.056 79.855 0.000 4.452 3.169
## .SI4 5.625 0.041 136.300 0.000 5.625 5.409
## .SI5 4.476 0.055 81.287 0.000 4.476 3.226
## .FC1 5.890 0.037 161.200 0.000 5.890 6.397
## .FC2 5.469 0.045 120.830 0.000 5.469 4.795
## .FC4 5.164 0.049 104.479 0.000 5.164 4.146
## .EE1 5.213 0.049 105.826 0.000 5.213 4.200
## .EE2 5.504 0.042 130.913 0.000 5.504 5.195
## .EE3 5.351 0.043 124.855 0.000 5.351 4.955
## .EE4 4.699 0.057 82.271 0.000 4.699 3.265
## .EE5 5.506 0.048 113.741 0.000 5.506 4.514
## .EE6 5.394 0.052 102.914 0.000 5.394 4.084
## .B1 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
## EE 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.779 0.080 9.707 0.000 0.779 0.558
## .PE2 0.692 0.051 13.706 0.000 0.692 0.330
## .PE3 0.722 0.057 12.726 0.000 0.722 0.400
## .PE4 1.054 0.080 13.108 0.000 1.054 0.739
## .PE5 0.988 0.071 13.939 0.000 0.988 0.694
## .PE6 0.440 0.035 12.619 0.000 0.440 0.254
## .PE7 0.576 0.040 14.492 0.000 0.576 0.412
## .PE8 0.423 0.035 12.193 0.000 0.423 0.243
## .PE9 0.625 0.054 11.510 0.000 0.625 0.354
## .SI1 0.407 0.046 8.784 0.000 0.407 0.243
## .SI2 0.954 0.078 12.188 0.000 0.954 0.591
## .SI3 0.610 0.079 7.683 0.000 0.610 0.309
## .SI4 0.840 0.072 11.707 0.000 0.840 0.776
## .SI5 1.344 0.097 13.916 0.000 1.344 0.698
## .FC1 0.575 0.047 12.353 0.000 0.575 0.679
## .FC2 0.433 0.064 6.720 0.000 0.433 0.333
## .FC4 0.449 0.047 9.571 0.000 0.449 0.290
## .EE1 0.329 0.038 8.603 0.000 0.329 0.214
## .EE2 0.281 0.032 8.854 0.000 0.281 0.251
## .EE3 0.606 0.049 12.321 0.000 0.606 0.519
## .EE4 1.315 0.094 13.968 0.000 1.315 0.635
## .EE5 0.819 0.102 7.990 0.000 0.819 0.550
## .EE6 1.121 0.112 10.039 0.000 1.121 0.643
## .B1 0.783 0.063 12.430 0.000 0.783 0.453
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
## EE 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.442
## PE2 0.670
## PE3 0.600
## PE4 0.261
## PE5 0.306
## PE6 0.746
## PE7 0.588
## PE8 0.757
## PE9 0.646
## SI1 0.757
## SI2 0.409
## SI3 0.691
## SI4 0.224
## SI5 0.302
## FC1 0.321
## FC2 0.667
## FC4 0.710
## EE1 0.786
## EE2 0.749
## EE3 0.481
## EE4 0.365
## EE5 0.450
## EE6 0.357
## B1 0.547
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.912 0.094 9.712 0.000 0.912 0.728
## PE2 1.153 0.078 14.829 0.000 1.153 0.868
## PE3 1.090 0.073 15.018 0.000 1.090 0.865
## PE4 0.848 0.079 10.674 0.000 0.848 0.766
## PE5 0.830 0.088 9.429 0.000 0.830 0.737
## PE6 1.089 0.072 15.170 0.000 1.089 0.903
## PE7 0.969 0.084 11.555 0.000 0.969 0.803
## PE8 1.062 0.081 13.046 0.000 1.062 0.849
## PE9 1.051 0.082 12.802 0.000 1.051 0.850
## SI =~
## SI1 1.000 0.075 13.303 0.000 1.000 0.848
## SI2 0.800 0.095 8.401 0.000 0.800 0.621
## SI3 1.175 0.072 16.354 0.000 1.175 0.887
## SI4 0.683 0.081 8.452 0.000 0.683 0.649
## SI5 0.652 0.092 7.117 0.000 0.652 0.531
## FC =~
## FC1 0.924 0.100 9.222 0.000 0.924 0.599
## FC2 1.019 0.083 12.304 0.000 1.019 0.785
## FC4 1.015 0.073 13.835 0.000 1.015 0.852
## EE =~
## EE1 0.900 0.067 13.439 0.000 0.900 0.841
## EE2 0.934 0.064 14.544 0.000 0.934 0.869
## EE3 0.863 0.070 12.376 0.000 0.863 0.793
## EE4 0.542 0.107 5.083 0.000 0.542 0.437
## EE5 0.732 0.087 8.397 0.000 0.732 0.622
## EE6 0.685 0.093 7.398 0.000 0.685 0.569
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.523 0.108 4.833 0.000 0.523 0.384
## SI 0.127 0.096 1.328 0.184 0.127 0.093
## FC 0.836 0.299 2.791 0.005 0.836 0.614
## EE -0.292 0.300 -0.973 0.330 -0.292 -0.215
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EE5 ~~
## .EE6 0.700 0.126 5.533 0.000 0.700 0.767
## .EE4 ~~
## .EE5 0.530 0.122 4.328 0.000 0.530 0.516
## .EE6 0.533 0.117 4.552 0.000 0.533 0.484
## .PE4 ~~
## .PE5 0.376 0.065 5.797 0.000 0.376 0.693
## PE ~~
## SI 0.652 0.055 11.861 0.000 0.652 0.652
## FC 0.552 0.066 8.429 0.000 0.552 0.552
## EE 0.577 0.066 8.789 0.000 0.577 0.577
## SI ~~
## FC 0.476 0.067 7.050 0.000 0.476 0.476
## EE 0.444 0.073 6.083 0.000 0.444 0.444
## FC ~~
## EE 0.892 0.032 27.624 0.000 0.892 0.892
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 5.205 0.090 58.043 0.000 5.205 4.157
## .PE2 4.626 0.095 48.656 0.000 4.626 3.484
## .PE3 4.374 0.090 48.473 0.000 4.374 3.471
## .PE4 4.974 0.079 62.761 0.000 4.974 4.494
## .PE5 4.887 0.081 60.574 0.000 4.887 4.338
## .PE6 4.738 0.086 54.862 0.000 4.738 3.929
## .PE7 5.103 0.086 59.048 0.000 5.103 4.228
## .PE8 4.815 0.090 53.736 0.000 4.815 3.848
## .PE9 4.651 0.089 52.516 0.000 4.651 3.761
## .SI1 4.015 0.084 47.568 0.000 4.015 3.406
## .SI2 4.692 0.092 50.870 0.000 4.692 3.643
## .SI3 3.867 0.095 40.740 0.000 3.867 2.917
## .SI4 4.990 0.075 66.207 0.000 4.990 4.741
## .SI5 3.908 0.088 44.415 0.000 3.908 3.181
## .FC1 4.518 0.111 40.869 0.000 4.518 2.927
## .FC2 4.728 0.093 50.863 0.000 4.728 3.642
## .FC4 4.785 0.085 56.063 0.000 4.785 4.015
## .EE1 4.800 0.077 62.651 0.000 4.800 4.487
## .EE2 5.185 0.077 67.347 0.000 5.185 4.823
## .EE3 4.985 0.078 63.959 0.000 4.985 4.580
## .EE4 4.200 0.089 47.348 0.000 4.200 3.391
## .EE5 4.933 0.084 58.531 0.000 4.933 4.191
## .EE6 4.708 0.086 54.633 0.000 4.708 3.912
## .B1 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
## EE 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.737 0.156 4.719 0.000 0.737 0.470
## .PE2 0.434 0.073 5.944 0.000 0.434 0.246
## .PE3 0.400 0.051 7.794 0.000 0.400 0.252
## .PE4 0.507 0.066 7.702 0.000 0.507 0.414
## .PE5 0.580 0.073 7.927 0.000 0.580 0.457
## .PE6 0.268 0.041 6.504 0.000 0.268 0.184
## .PE7 0.516 0.079 6.555 0.000 0.516 0.355
## .PE8 0.438 0.079 5.531 0.000 0.438 0.280
## .PE9 0.425 0.055 7.722 0.000 0.425 0.278
## .SI1 0.390 0.054 7.166 0.000 0.390 0.280
## .SI2 1.019 0.119 8.590 0.000 1.019 0.614
## .SI3 0.375 0.072 5.231 0.000 0.375 0.214
## .SI4 0.641 0.072 8.960 0.000 0.641 0.579
## .SI5 1.084 0.135 8.013 0.000 1.084 0.718
## .FC1 1.529 0.166 9.204 0.000 1.529 0.641
## .FC2 0.647 0.114 5.656 0.000 0.647 0.384
## .FC4 0.389 0.086 4.541 0.000 0.389 0.274
## .EE1 0.335 0.051 6.604 0.000 0.335 0.293
## .EE2 0.283 0.049 5.785 0.000 0.283 0.245
## .EE3 0.440 0.057 7.670 0.000 0.440 0.371
## .EE4 1.241 0.137 9.039 0.000 1.241 0.809
## .EE5 0.850 0.136 6.247 0.000 0.850 0.614
## .EE6 0.978 0.130 7.530 0.000 0.978 0.676
## .B1 0.756 0.103 7.341 0.000 0.756 0.408
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
## EE 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.530
## PE2 0.754
## PE3 0.748
## PE4 0.586
## PE5 0.543
## PE6 0.816
## PE7 0.645
## PE8 0.720
## PE9 0.722
## SI1 0.720
## SI2 0.386
## SI3 0.786
## SI4 0.421
## SI5 0.282
## FC1 0.359
## FC2 0.616
## FC4 0.726
## EE1 0.707
## EE2 0.755
## EE3 0.629
## EE4 0.191
## EE5 0.386
## EE6 0.324
## B1 0.592
##
##
## Group 3 [2]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.873 0.096 9.077 0.000 0.873 0.710
## PE2 0.924 0.078 11.816 0.000 0.924 0.821
## PE3 0.846 0.071 11.922 0.000 0.846 0.817
## PE4 0.820 0.092 8.886 0.000 0.820 0.699
## PE5 0.758 0.093 8.178 0.000 0.758 0.670
## PE6 0.978 0.076 12.834 0.000 0.978 0.861
## PE7 0.795 0.097 8.190 0.000 0.795 0.675
## PE8 1.031 0.076 13.548 0.000 1.031 0.867
## PE9 0.961 0.072 13.431 0.000 0.961 0.831
## SI =~
## SI1 1.243 0.073 17.026 0.000 1.243 0.909
## SI2 0.788 0.103 7.669 0.000 0.788 0.562
## SI3 1.230 0.083 14.732 0.000 1.230 0.890
## SI4 0.566 0.095 5.972 0.000 0.566 0.461
## SI5 0.702 0.091 7.690 0.000 0.702 0.553
## FC =~
## FC1 0.803 0.115 6.995 0.000 0.803 0.490
## FC2 0.974 0.083 11.777 0.000 0.974 0.777
## FC4 1.039 0.074 14.092 0.000 1.039 0.878
## EE =~
## EE1 0.759 0.073 10.355 0.000 0.759 0.771
## EE2 0.902 0.069 13.135 0.000 0.902 0.833
## EE3 0.861 0.070 12.372 0.000 0.861 0.797
## EE4 0.528 0.104 5.074 0.000 0.528 0.464
## EE5 0.678 0.099 6.855 0.000 0.678 0.579
## EE6 0.610 0.099 6.182 0.000 0.610 0.542
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.323 0.184 1.754 0.079 0.323 0.213
## SI 0.148 0.101 1.461 0.144 0.148 0.098
## FC 0.894 0.305 2.935 0.003 0.894 0.591
## EE -0.044 0.221 -0.200 0.842 -0.044 -0.029
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EE5 ~~
## .EE6 0.583 0.136 4.273 0.000 0.583 0.646
## .EE4 ~~
## .EE5 0.422 0.126 3.353 0.001 0.422 0.439
## .EE6 0.439 0.122 3.613 0.000 0.439 0.460
## .PE4 ~~
## .PE5 0.437 0.074 5.915 0.000 0.437 0.620
## PE ~~
## SI 0.561 0.052 10.759 0.000 0.561 0.561
## FC 0.749 0.047 15.808 0.000 0.749 0.749
## EE 0.615 0.047 13.016 0.000 0.615 0.615
## SI ~~
## FC 0.411 0.089 4.613 0.000 0.411 0.411
## EE 0.400 0.074 5.412 0.000 0.400 0.400
## FC ~~
## EE 0.828 0.044 18.764 0.000 0.828 0.828
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 4.530 0.090 50.072 0.000 4.530 3.681
## .PE2 3.811 0.083 46.050 0.000 3.811 3.386
## .PE3 3.751 0.076 49.251 0.000 3.751 3.621
## .PE4 4.530 0.086 52.572 0.000 4.530 3.865
## .PE5 4.573 0.083 54.923 0.000 4.573 4.038
## .PE6 4.049 0.083 48.493 0.000 4.049 3.565
## .PE7 4.859 0.087 56.150 0.000 4.859 4.128
## .PE8 4.308 0.087 49.292 0.000 4.308 3.624
## .PE9 4.178 0.085 49.174 0.000 4.178 3.615
## .SI1 3.465 0.101 34.459 0.000 3.465 2.534
## .SI2 4.157 0.103 40.281 0.000 4.157 2.962
## .SI3 3.308 0.102 32.553 0.000 3.308 2.393
## .SI4 4.530 0.090 50.252 0.000 4.530 3.695
## .SI5 3.773 0.093 40.403 0.000 3.773 2.970
## .FC1 4.211 0.120 34.951 0.000 4.211 2.570
## .FC2 4.362 0.092 47.329 0.000 4.362 3.480
## .FC4 4.276 0.087 49.156 0.000 4.276 3.614
## .EE1 4.065 0.072 56.172 0.000 4.065 4.130
## .EE2 4.422 0.080 55.515 0.000 4.422 4.082
## .EE3 4.605 0.079 57.945 0.000 4.605 4.260
## .EE4 3.778 0.084 45.128 0.000 3.778 3.318
## .EE5 4.373 0.086 50.835 0.000 4.373 3.737
## .EE6 4.141 0.083 50.038 0.000 4.141 3.679
## .B1 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## FC 0.000 0.000 0.000
## EE 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.751 0.110 6.826 0.000 0.751 0.496
## .PE2 0.413 0.065 6.335 0.000 0.413 0.326
## .PE3 0.357 0.048 7.452 0.000 0.357 0.333
## .PE4 0.701 0.081 8.647 0.000 0.701 0.511
## .PE5 0.708 0.082 8.609 0.000 0.708 0.552
## .PE6 0.334 0.044 7.546 0.000 0.334 0.259
## .PE7 0.754 0.087 8.710 0.000 0.754 0.544
## .PE8 0.350 0.048 7.258 0.000 0.350 0.248
## .PE9 0.413 0.073 5.674 0.000 0.413 0.309
## .SI1 0.326 0.077 4.250 0.000 0.326 0.174
## .SI2 1.349 0.150 8.977 0.000 1.349 0.685
## .SI3 0.398 0.116 3.417 0.001 0.398 0.208
## .SI4 1.183 0.120 9.866 0.000 1.183 0.787
## .SI5 1.120 0.138 8.103 0.000 1.120 0.694
## .FC1 2.041 0.216 9.452 0.000 2.041 0.760
## .FC2 0.623 0.112 5.587 0.000 0.623 0.397
## .FC4 0.321 0.083 3.876 0.000 0.321 0.229
## .EE1 0.393 0.055 7.104 0.000 0.393 0.406
## .EE2 0.359 0.069 5.224 0.000 0.359 0.306
## .EE3 0.426 0.077 5.507 0.000 0.426 0.365
## .EE4 1.018 0.134 7.575 0.000 1.018 0.785
## .EE5 0.909 0.150 6.079 0.000 0.909 0.664
## .EE6 0.895 0.126 7.094 0.000 0.895 0.707
## .B1 0.853 0.109 7.789 0.000 0.853 0.373
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## FC 1.000 1.000 1.000
## EE 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.504
## PE2 0.674
## PE3 0.667
## PE4 0.489
## PE5 0.448
## PE6 0.741
## PE7 0.456
## PE8 0.752
## PE9 0.691
## SI1 0.826
## SI2 0.315
## SI3 0.792
## SI4 0.213
## SI5 0.306
## FC1 0.240
## FC2 0.603
## FC4 0.771
## EE1 0.594
## EE2 0.694
## EE3 0.635
## EE4 0.215
## EE5 0.336
## EE6 0.293
## B1 0.627#pretty formatted table
library(dplyr)
library(tidyr)
parameterEstimates(overallmod2.2, standardized = TRUE) %>%
filter(op == "=~") %>% # =~ means "is measured by"
select('Latent Factor' = lhs, Indicator = rhs, B = est, SE = se, Z = z, 'p-value' = pvalue, Beta = std.all) %>%
kable(digits = 3, format = "pandoc", caption = "Factor Loadings")| Latent Factor | Indicator | B | SE | Z | p-value | Beta |
|---|---|---|---|---|---|---|
| PE | PE1 | 0.7861589 | 0.0584443 | 13.451424 | 0e+00 | 0.6651877 |
| PE | PE2 | 1.1852444 | 0.0409369 | 28.952965 | 0e+00 | 0.8184718 |
| PE | PE3 | 1.0403916 | 0.0439874 | 23.652017 | 0e+00 | 0.7745031 |
| PE | PE4 | 0.6106173 | 0.0549997 | 11.102201 | 0e+00 | 0.5112165 |
| PE | PE5 | 0.6594793 | 0.0532549 | 12.383452 | 0e+00 | 0.5529097 |
| PE | PE6 | 1.1375637 | 0.0434949 | 26.153980 | 0e+00 | 0.8638444 |
| PE | PE7 | 0.9075298 | 0.0555429 | 16.339249 | 0e+00 | 0.7669844 |
| PE | PE8 | 1.1481829 | 0.0435551 | 26.361626 | 0e+00 | 0.8701134 |
| PE | PE9 | 1.0671299 | 0.0465659 | 22.916577 | 0e+00 | 0.8036012 |
| SI | SI1 | 1.1252441 | 0.0442910 | 25.405698 | 0e+00 | 0.8698194 |
| SI | SI2 | 0.8124929 | 0.0533538 | 15.228408 | 0e+00 | 0.6394882 |
| SI | SI3 | 1.1679115 | 0.0496909 | 23.503518 | 0e+00 | 0.8313283 |
| SI | SI4 | 0.4918978 | 0.0512131 | 9.604918 | 0e+00 | 0.4729857 |
| SI | SI5 | 0.7619749 | 0.0595152 | 12.803023 | 0e+00 | 0.5491945 |
| FC | FC1 | 0.5217274 | 0.0466259 | 11.189642 | 0e+00 | 0.5666638 |
| FC | FC2 | 0.9315049 | 0.0496861 | 18.747815 | 0e+00 | 0.8166634 |
| FC | FC4 | 1.0496157 | 0.0432754 | 24.254303 | 0e+00 | 0.8427665 |
| EE | EE1 | 1.1005950 | 0.0461460 | 23.850290 | 0e+00 | 0.8867057 |
| EE | EE2 | 0.9170188 | 0.0464755 | 19.731242 | 0e+00 | 0.8655665 |
| EE | EE3 | 0.7487378 | 0.0499013 | 15.004386 | 0e+00 | 0.6932662 |
| EE | EE4 | 0.8696976 | 0.0513932 | 16.922413 | 0e+00 | 0.6042297 |
| EE | EE5 | 0.8180571 | 0.0535466 | 15.277489 | 0e+00 | 0.6706825 |
| EE | EE6 | 0.7895919 | 0.0554632 | 14.236321 | 0e+00 | 0.5978657 |
| PE | PE1 | 0.9117168 | 0.0938778 | 9.711744 | 0e+00 | 0.7280463 |
| PE | PE2 | 1.1527361 | 0.0777362 | 14.828825 | 0e+00 | 0.8682999 |
| PE | PE3 | 1.0897878 | 0.0725668 | 15.017714 | 0e+00 | 0.8647742 |
| PE | PE4 | 0.8475573 | 0.0794008 | 10.674412 | 0e+00 | 0.7657723 |
| PE | PE5 | 0.8300229 | 0.0880325 | 9.428601 | 0e+00 | 0.7367159 |
| PE | PE6 | 1.0892449 | 0.0718012 | 15.170286 | 0e+00 | 0.9031018 |
| PE | PE7 | 0.9694328 | 0.0838943 | 11.555410 | 0e+00 | 0.8033596 |
| PE | PE8 | 1.0621238 | 0.0814140 | 13.045967 | 0e+00 | 0.8487618 |
| PE | PE9 | 1.0509524 | 0.0820957 | 12.801553 | 0e+00 | 0.8497244 |
| SI | SI1 | 0.9999448 | 0.0751646 | 13.303393 | 0e+00 | 0.8482840 |
| SI | SI2 | 0.8001837 | 0.0952472 | 8.401122 | 0e+00 | 0.6212133 |
| SI | SI3 | 1.1753518 | 0.0718698 | 16.353906 | 0e+00 | 0.8868070 |
| SI | SI4 | 0.6831630 | 0.0808323 | 8.451610 | 0e+00 | 0.6491301 |
| SI | SI5 | 0.6523923 | 0.0916640 | 7.117210 | 0e+00 | 0.5310072 |
| FC | FC1 | 0.9243039 | 0.1002302 | 9.221812 | 0e+00 | 0.5987559 |
| FC | FC2 | 1.0187831 | 0.0828042 | 12.303513 | 0e+00 | 0.7848132 |
| FC | FC4 | 1.0152867 | 0.0733871 | 13.834667 | 0e+00 | 0.8519214 |
| EE | EE1 | 0.8996865 | 0.0669476 | 13.438666 | 0e+00 | 0.8409286 |
| EE | EE2 | 0.9340280 | 0.0642229 | 14.543536 | 0e+00 | 0.8688442 |
| EE | EE3 | 0.8628838 | 0.0697237 | 12.375764 | 0e+00 | 0.7928754 |
| EE | EE4 | 0.5417877 | 0.1065847 | 5.083165 | 4e-07 | 0.4373858 |
| EE | EE5 | 0.7316915 | 0.0871389 | 8.396846 | 0e+00 | 0.6216638 |
| EE | EE6 | 0.6851633 | 0.0926120 | 7.398212 | 0e+00 | 0.5694119 |
| PE | PE1 | 0.8734886 | 0.0962293 | 9.077160 | 0e+00 | 0.7098997 |
| PE | PE2 | 0.9239095 | 0.0781899 | 11.816230 | 0e+00 | 0.8208369 |
| PE | PE3 | 0.8462776 | 0.0709819 | 11.922439 | 0e+00 | 0.8168660 |
| PE | PE4 | 0.8197510 | 0.0922487 | 8.886313 | 0e+00 | 0.6994820 |
| PE | PE5 | 0.7582293 | 0.0927129 | 8.178253 | 0e+00 | 0.6695284 |
| PE | PE6 | 0.9775232 | 0.0761664 | 12.834039 | 0e+00 | 0.8608195 |
| PE | PE7 | 0.7949269 | 0.0970663 | 8.189523 | 0e+00 | 0.6753040 |
| PE | PE8 | 1.0311071 | 0.0761063 | 13.548244 | 0e+00 | 0.8673728 |
| PE | PE9 | 0.9606084 | 0.0715235 | 13.430668 | 0e+00 | 0.8311595 |
| SI | SI1 | 1.2427749 | 0.0729927 | 17.026005 | 0e+00 | 0.9087149 |
| SI | SI2 | 0.7883181 | 0.1027904 | 7.669180 | 0e+00 | 0.5616557 |
| SI | SI3 | 1.2298401 | 0.0834824 | 14.731726 | 0e+00 | 0.8897722 |
| SI | SI4 | 0.5655734 | 0.0947054 | 5.971925 | 0e+00 | 0.4613022 |
| SI | SI5 | 0.7023117 | 0.0913284 | 7.689963 | 0e+00 | 0.5529311 |
| FC | FC1 | 0.8025856 | 0.1147431 | 6.994630 | 0e+00 | 0.4897727 |
| FC | FC2 | 0.9737908 | 0.0826830 | 11.777402 | 0e+00 | 0.7767866 |
| FC | FC4 | 1.0386049 | 0.0737011 | 14.092116 | 0e+00 | 0.8778779 |
| EE | EE1 | 0.7585117 | 0.0732513 | 10.354919 | 0e+00 | 0.7706389 |
| EE | EE2 | 0.9024457 | 0.0687039 | 13.135300 | 0e+00 | 0.8330331 |
| EE | EE3 | 0.8614792 | 0.0696338 | 12.371565 | 0e+00 | 0.7969032 |
| EE | EE4 | 0.5281102 | 0.1040840 | 5.073883 | 4e-07 | 0.4637454 |
| EE | EE5 | 0.6780270 | 0.0989155 | 6.854606 | 0e+00 | 0.5794831 |
| EE | EE6 | 0.6095176 | 0.0986016 | 6.181618 | 0e+00 | 0.5415499 |
#correlation matrix
library(corrgram)
corrgram(likertscollapsed, order = NULL, lower.panel = panel.shade,
upper.panel = NULL, text.panel = panel.txt, label.srt = TRUE,
main = "Correlation Matrix")
#Get the factor loadings
inspect(overallmod2.2,what = "std")## $`3`
## $`3`$lambda
## PE SI FC EE B1
## PE1 0.665 0.000 0.000 0.000 0
## PE2 0.818 0.000 0.000 0.000 0
## PE3 0.775 0.000 0.000 0.000 0
## PE4 0.511 0.000 0.000 0.000 0
## PE5 0.553 0.000 0.000 0.000 0
## PE6 0.864 0.000 0.000 0.000 0
## PE7 0.767 0.000 0.000 0.000 0
## PE8 0.870 0.000 0.000 0.000 0
## PE9 0.804 0.000 0.000 0.000 0
## SI1 0.000 0.870 0.000 0.000 0
## SI2 0.000 0.639 0.000 0.000 0
## SI3 0.000 0.831 0.000 0.000 0
## SI4 0.000 0.473 0.000 0.000 0
## SI5 0.000 0.549 0.000 0.000 0
## FC1 0.000 0.000 0.567 0.000 0
## FC2 0.000 0.000 0.817 0.000 0
## FC4 0.000 0.000 0.843 0.000 0
## EE1 0.000 0.000 0.000 0.887 0
## EE2 0.000 0.000 0.000 0.866 0
## EE3 0.000 0.000 0.000 0.693 0
## EE4 0.000 0.000 0.000 0.604 0
## EE5 0.000 0.000 0.000 0.671 0
## EE6 0.000 0.000 0.000 0.598 0
## B1 0.000 0.000 0.000 0.000 1
##
## $`3`$theta
## PE1 PE2 PE3 PE4 PE5 PE6 PE7 PE8 PE9 SI1 SI2
## PE1 0.558
## PE2 0.000 0.330
## PE3 0.000 0.000 0.400
## PE4 0.000 0.000 0.000 0.739
## PE5 0.000 0.000 0.000 0.627 0.694
## PE6 0.000 0.000 0.000 0.000 0.000 0.254
## PE7 0.000 0.000 0.000 0.000 0.000 0.000 0.412
## PE8 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.243
## PE9 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.354
## SI1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.243
## SI2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.591
## SI3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE6 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## B1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI3 SI4 SI5 FC1 FC2 FC4 EE1 EE2 EE3 EE4 EE5
## PE1
## PE2
## PE3
## PE4
## PE5
## PE6
## PE7
## PE8
## PE9
## SI1
## SI2
## SI3 0.309
## SI4 0.000 0.776
## SI5 0.000 0.000 0.698
## FC1 0.000 0.000 0.000 0.679
## FC2 0.000 0.000 0.000 0.000 0.333
## FC4 0.000 0.000 0.000 0.000 0.000 0.290
## EE1 0.000 0.000 0.000 0.000 0.000 0.000 0.214
## EE2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.251
## EE3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.519
## EE4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.635
## EE5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.425 0.550
## EE6 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.483 0.696
## B1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE6 B1
## PE1
## PE2
## PE3
## PE4
## PE5
## PE6
## PE7
## PE8
## PE9
## SI1
## SI2
## SI3
## SI4
## SI5
## FC1
## FC2
## FC4
## EE1
## EE2
## EE3
## EE4
## EE5
## EE6 0.643
## B1 0.000 0.000
##
## $`3`$psi
## PE SI FC EE B1
## PE 1.000
## SI 0.497 1.000
## FC 0.693 0.495 1.000
## EE 0.549 0.355 0.822 1.000
## B1 0.000 0.000 0.000 0.000 0.453
##
## $`3`$beta
## PE SI FC EE B1
## PE 0.000 0.000 0.000 0.00 0
## SI 0.000 0.000 0.000 0.00 0
## FC 0.000 0.000 0.000 0.00 0
## EE 0.000 0.000 0.000 0.00 0
## B1 0.326 0.199 0.433 -0.12 0
##
## $`3`$nu
## intrcp
## PE1 4.769
## PE2 3.059
## PE3 3.062
## PE4 4.439
## PE5 4.290
## PE6 3.650
## PE7 4.713
## PE8 3.629
## PE9 3.488
## SI1 3.566
## SI2 4.023
## SI3 3.169
## SI4 5.409
## SI5 3.226
## FC1 6.397
## FC2 4.795
## FC4 4.146
## EE1 4.200
## EE2 5.195
## EE3 4.955
## EE4 3.265
## EE5 4.514
## EE6 4.084
## B1 0.000
##
## $`3`$alpha
## intrcp
## PE 0.00
## SI 0.00
## FC 0.00
## EE 0.00
## B1 4.21
##
##
## $`1`
## $`1`$lambda
## PE SI FC EE B1
## PE1 0.728 0.000 0.000 0.000 0
## PE2 0.868 0.000 0.000 0.000 0
## PE3 0.865 0.000 0.000 0.000 0
## PE4 0.766 0.000 0.000 0.000 0
## PE5 0.737 0.000 0.000 0.000 0
## PE6 0.903 0.000 0.000 0.000 0
## PE7 0.803 0.000 0.000 0.000 0
## PE8 0.849 0.000 0.000 0.000 0
## PE9 0.850 0.000 0.000 0.000 0
## SI1 0.000 0.848 0.000 0.000 0
## SI2 0.000 0.621 0.000 0.000 0
## SI3 0.000 0.887 0.000 0.000 0
## SI4 0.000 0.649 0.000 0.000 0
## SI5 0.000 0.531 0.000 0.000 0
## FC1 0.000 0.000 0.599 0.000 0
## FC2 0.000 0.000 0.785 0.000 0
## FC4 0.000 0.000 0.852 0.000 0
## EE1 0.000 0.000 0.000 0.841 0
## EE2 0.000 0.000 0.000 0.869 0
## EE3 0.000 0.000 0.000 0.793 0
## EE4 0.000 0.000 0.000 0.437 0
## EE5 0.000 0.000 0.000 0.622 0
## EE6 0.000 0.000 0.000 0.569 0
## B1 0.000 0.000 0.000 0.000 1
##
## $`1`$theta
## PE1 PE2 PE3 PE4 PE5 PE6 PE7 PE8 PE9 SI1 SI2
## PE1 0.470
## PE2 0.000 0.246
## PE3 0.000 0.000 0.252
## PE4 0.000 0.000 0.000 0.414
## PE5 0.000 0.000 0.000 0.693 0.457
## PE6 0.000 0.000 0.000 0.000 0.000 0.184
## PE7 0.000 0.000 0.000 0.000 0.000 0.000 0.355
## PE8 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.280
## PE9 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.278
## SI1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.280
## SI2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.614
## SI3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE6 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## B1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI3 SI4 SI5 FC1 FC2 FC4 EE1 EE2 EE3 EE4 EE5
## PE1
## PE2
## PE3
## PE4
## PE5
## PE6
## PE7
## PE8
## PE9
## SI1
## SI2
## SI3 0.214
## SI4 0.000 0.579
## SI5 0.000 0.000 0.718
## FC1 0.000 0.000 0.000 0.641
## FC2 0.000 0.000 0.000 0.000 0.384
## FC4 0.000 0.000 0.000 0.000 0.000 0.274
## EE1 0.000 0.000 0.000 0.000 0.000 0.000 0.293
## EE2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.245
## EE3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.371
## EE4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.809
## EE5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.516 0.614
## EE6 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.484 0.767
## B1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE6 B1
## PE1
## PE2
## PE3
## PE4
## PE5
## PE6
## PE7
## PE8
## PE9
## SI1
## SI2
## SI3
## SI4
## SI5
## FC1
## FC2
## FC4
## EE1
## EE2
## EE3
## EE4
## EE5
## EE6 0.676
## B1 0.000 0.000
##
## $`1`$psi
## PE SI FC EE B1
## PE 1.000
## SI 0.652 1.000
## FC 0.552 0.476 1.000
## EE 0.577 0.444 0.892 1.000
## B1 0.000 0.000 0.000 0.000 0.408
##
## $`1`$beta
## PE SI FC EE B1
## PE 0.000 0.000 0.000 0.000 0
## SI 0.000 0.000 0.000 0.000 0
## FC 0.000 0.000 0.000 0.000 0
## EE 0.000 0.000 0.000 0.000 0
## B1 0.384 0.093 0.614 -0.215 0
##
## $`1`$nu
## intrcp
## PE1 4.157
## PE2 3.484
## PE3 3.471
## PE4 4.494
## PE5 4.338
## PE6 3.929
## PE7 4.228
## PE8 3.848
## PE9 3.761
## SI1 3.406
## SI2 3.643
## SI3 2.917
## SI4 4.741
## SI5 3.181
## FC1 2.927
## FC2 3.642
## FC4 4.015
## EE1 4.487
## EE2 4.823
## EE3 4.580
## EE4 3.391
## EE5 4.191
## EE6 3.912
## B1 0.000
##
## $`1`$alpha
## intrcp
## PE 0.000
## SI 0.000
## FC 0.000
## EE 0.000
## B1 3.423
##
##
## $`2`
## $`2`$lambda
## PE SI FC EE B1
## PE1 0.710 0.000 0.000 0.000 0
## PE2 0.821 0.000 0.000 0.000 0
## PE3 0.817 0.000 0.000 0.000 0
## PE4 0.699 0.000 0.000 0.000 0
## PE5 0.670 0.000 0.000 0.000 0
## PE6 0.861 0.000 0.000 0.000 0
## PE7 0.675 0.000 0.000 0.000 0
## PE8 0.867 0.000 0.000 0.000 0
## PE9 0.831 0.000 0.000 0.000 0
## SI1 0.000 0.909 0.000 0.000 0
## SI2 0.000 0.562 0.000 0.000 0
## SI3 0.000 0.890 0.000 0.000 0
## SI4 0.000 0.461 0.000 0.000 0
## SI5 0.000 0.553 0.000 0.000 0
## FC1 0.000 0.000 0.490 0.000 0
## FC2 0.000 0.000 0.777 0.000 0
## FC4 0.000 0.000 0.878 0.000 0
## EE1 0.000 0.000 0.000 0.771 0
## EE2 0.000 0.000 0.000 0.833 0
## EE3 0.000 0.000 0.000 0.797 0
## EE4 0.000 0.000 0.000 0.464 0
## EE5 0.000 0.000 0.000 0.579 0
## EE6 0.000 0.000 0.000 0.542 0
## B1 0.000 0.000 0.000 0.000 1
##
## $`2`$theta
## PE1 PE2 PE3 PE4 PE5 PE6 PE7 PE8 PE9 SI1 SI2
## PE1 0.496
## PE2 0.000 0.326
## PE3 0.000 0.000 0.333
## PE4 0.000 0.000 0.000 0.511
## PE5 0.000 0.000 0.000 0.620 0.552
## PE6 0.000 0.000 0.000 0.000 0.000 0.259
## PE7 0.000 0.000 0.000 0.000 0.000 0.000 0.544
## PE8 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.248
## PE9 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.309
## SI1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.174
## SI2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.685
## SI3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## FC4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE6 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## B1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## SI3 SI4 SI5 FC1 FC2 FC4 EE1 EE2 EE3 EE4 EE5
## PE1
## PE2
## PE3
## PE4
## PE5
## PE6
## PE7
## PE8
## PE9
## SI1
## SI2
## SI3 0.208
## SI4 0.000 0.787
## SI5 0.000 0.000 0.694
## FC1 0.000 0.000 0.000 0.760
## FC2 0.000 0.000 0.000 0.000 0.397
## FC4 0.000 0.000 0.000 0.000 0.000 0.229
## EE1 0.000 0.000 0.000 0.000 0.000 0.000 0.406
## EE2 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.306
## EE3 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.365
## EE4 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.785
## EE5 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.439 0.664
## EE6 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.460 0.646
## B1 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
## EE6 B1
## PE1
## PE2
## PE3
## PE4
## PE5
## PE6
## PE7
## PE8
## PE9
## SI1
## SI2
## SI3
## SI4
## SI5
## FC1
## FC2
## FC4
## EE1
## EE2
## EE3
## EE4
## EE5
## EE6 0.707
## B1 0.000 0.000
##
## $`2`$psi
## PE SI FC EE B1
## PE 1.000
## SI 0.561 1.000
## FC 0.749 0.411 1.000
## EE 0.615 0.400 0.828 1.000
## B1 0.000 0.000 0.000 0.000 0.373
##
## $`2`$beta
## PE SI FC EE B1
## PE 0.000 0.000 0.000 0.000 0
## SI 0.000 0.000 0.000 0.000 0
## FC 0.000 0.000 0.000 0.000 0
## EE 0.000 0.000 0.000 0.000 0
## B1 0.213 0.098 0.591 -0.029 0
##
## $`2`$nu
## intrcp
## PE1 3.681
## PE2 3.386
## PE3 3.621
## PE4 3.865
## PE5 4.038
## PE6 3.565
## PE7 4.128
## PE8 3.624
## PE9 3.615
## SI1 2.534
## SI2 2.962
## SI3 2.393
## SI4 3.695
## SI5 2.970
## FC1 2.570
## FC2 3.480
## FC4 3.614
## EE1 4.130
## EE2 4.082
## EE3 4.260
## EE4 3.318
## EE5 3.737
## EE6 3.679
## B1 0.000
##
## $`2`$alpha
## intrcp
## PE 0.000
## SI 0.000
## FC 0.000
## EE 0.000
## B1 2.813#If you try to test the measurement invariance on the final model by using the "group.equal" argument to test for equal form, factor loadings, indicator intercepts, and indicator error variances, the group sizes are (n = 185 and 195) are too small to make the comparisons. overalldropFC3collapse <- 'PE =~ PE1 + PE2 + PE3 + PE4 + PE5 + PE6 + PE7 + PE8 + PE9
SI =~ SI1 + SI2 + SI3 + SI4 + SI5
EEFC =~ EE1 + EE2 + EE3 + EE4 + EE5 + EE6 + FC1 + FC2 + FC4
B1 ~ PE + SI + EEFC
'
#fit the model
overalldropFC3collapse <- cfa(model = overalldropFC3collapse, data = likertscollapsed,
std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", group = "STROBEFamiliarity")
#display the summary output
summary(overalldropFC3collapse, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 47 iterations
##
## Optimization method NLMINB
## Number of free parameters 231
##
## Number of observations per group
## 3 635
## 1 195
## 2 185
##
## Estimator ML Robust
## Model Fit Test Statistic 3992.003 3185.510
## Degrees of freedom 741 741
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.253
## for the Satorra-Bentler correction
##
## Chi-square for each group:
##
## 3 2177.347 1737.464
## 1 931.782 743.537
## 2 882.873 704.509
##
## Model test baseline model:
##
## Minimum Function Test Statistic 17527.768 12160.318
## Degrees of freedom 828 828
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.805 0.784
## Tucker-Lewis Index (TLI) 0.782 0.759
##
## Robust Comparative Fit Index (CFI) 0.812
## Robust Tucker-Lewis Index (TLI) 0.790
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -32805.586 -32805.586
## Loglikelihood unrestricted model (H1) -30809.585 -30809.585
##
## Number of free parameters 231 231
## Akaike (AIC) 66073.173 66073.173
## Bayesian (BIC) 67210.303 67210.303
## Sample-size adjusted Bayesian (BIC) 66476.628 66476.628
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.114 0.099
## 90 Percent Confidence Interval 0.110 0.117 0.096 0.102
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.111
## 90 Percent Confidence Interval 0.107 0.115
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.087 0.087
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
##
## Group 1 [3]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.790 0.058 13.588 0.000 0.790 0.668
## PE2 1.176 0.041 28.494 0.000 1.176 0.812
## PE3 1.036 0.044 23.590 0.000 1.036 0.771
## PE4 0.646 0.054 11.878 0.000 0.646 0.541
## PE5 0.691 0.052 13.199 0.000 0.691 0.580
## PE6 1.130 0.044 25.886 0.000 1.130 0.858
## PE7 0.917 0.055 16.582 0.000 0.917 0.775
## PE8 1.142 0.044 26.118 0.000 1.142 0.865
## PE9 1.067 0.046 22.996 0.000 1.067 0.803
## SI =~
## SI1 1.127 0.044 25.383 0.000 1.127 0.871
## SI2 0.809 0.054 15.045 0.000 0.809 0.637
## SI3 1.170 0.050 23.499 0.000 1.170 0.833
## SI4 0.490 0.051 9.529 0.000 0.490 0.471
## SI5 0.760 0.060 12.772 0.000 0.760 0.548
## EEFC =~
## EE1 1.018 0.048 21.051 0.000 1.018 0.820
## EE2 0.843 0.047 17.908 0.000 0.843 0.795
## EE3 0.728 0.049 14.854 0.000 0.728 0.674
## EE4 0.995 0.044 22.573 0.000 0.995 0.691
## EE5 0.918 0.045 20.606 0.000 0.918 0.753
## EE6 0.951 0.046 20.772 0.000 0.951 0.720
## FC1 0.523 0.047 11.146 0.000 0.523 0.568
## FC2 0.849 0.051 16.664 0.000 0.849 0.744
## FC4 0.934 0.046 20.377 0.000 0.934 0.750
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.529 0.067 7.888 0.000 0.529 0.402
## SI 0.302 0.052 5.820 0.000 0.302 0.230
## EEFC 0.320 0.062 5.191 0.000 0.320 0.243
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## SI 0.509 0.037 13.623 0.000 0.509 0.509
## EEFC 0.590 0.034 17.589 0.000 0.590 0.590
## SI ~~
## EEFC 0.401 0.041 9.740 0.000 0.401 0.401
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 5.636 0.047 120.173 0.000 5.636 4.769
## .PE2 4.430 0.057 77.086 0.000 4.430 3.059
## .PE3 4.113 0.053 77.163 0.000 4.113 3.062
## .PE4 5.302 0.047 111.864 0.000 5.302 4.439
## .PE5 5.117 0.047 108.097 0.000 5.117 4.290
## .PE6 4.806 0.052 91.972 0.000 4.806 3.650
## .PE7 5.576 0.047 118.758 0.000 5.576 4.713
## .PE8 4.789 0.052 91.452 0.000 4.789 3.629
## .PE9 4.631 0.053 87.888 0.000 4.631 3.488
## .SI1 4.613 0.051 89.849 0.000 4.613 3.566
## .SI2 5.112 0.050 101.385 0.000 5.112 4.023
## .SI3 4.452 0.056 79.855 0.000 4.452 3.169
## .SI4 5.625 0.041 136.300 0.000 5.625 5.409
## .SI5 4.476 0.055 81.287 0.000 4.476 3.226
## .EE1 5.213 0.049 105.826 0.000 5.213 4.200
## .EE2 5.504 0.042 130.913 0.000 5.504 5.195
## .EE3 5.351 0.043 124.855 0.000 5.351 4.955
## .EE4 4.699 0.057 82.271 0.000 4.699 3.265
## .EE5 5.506 0.048 113.741 0.000 5.506 4.514
## .EE6 5.394 0.052 102.914 0.000 5.394 4.084
## .FC1 5.890 0.037 161.200 0.000 5.890 6.397
## .FC2 5.469 0.045 120.830 0.000 5.469 4.795
## .FC4 5.164 0.049 104.479 0.000 5.164 4.146
## .B1 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.773 0.079 9.750 0.000 0.773 0.553
## .PE2 0.714 0.051 13.887 0.000 0.714 0.341
## .PE3 0.731 0.057 12.918 0.000 0.731 0.405
## .PE4 1.009 0.078 12.979 0.000 1.009 0.707
## .PE5 0.945 0.068 13.820 0.000 0.945 0.664
## .PE6 0.456 0.036 12.852 0.000 0.456 0.263
## .PE7 0.558 0.039 14.419 0.000 0.558 0.399
## .PE8 0.437 0.036 12.292 0.000 0.437 0.251
## .PE9 0.626 0.054 11.659 0.000 0.626 0.355
## .SI1 0.404 0.047 8.689 0.000 0.404 0.242
## .SI2 0.960 0.079 12.170 0.000 0.960 0.595
## .SI3 0.605 0.080 7.574 0.000 0.605 0.306
## .SI4 0.841 0.072 11.708 0.000 0.841 0.778
## .SI5 1.347 0.096 13.958 0.000 1.347 0.700
## .EE1 0.504 0.041 12.211 0.000 0.504 0.327
## .EE2 0.412 0.037 11.132 0.000 0.412 0.367
## .EE3 0.637 0.047 13.576 0.000 0.637 0.546
## .EE4 1.083 0.073 14.896 0.000 1.083 0.523
## .EE5 0.645 0.075 8.548 0.000 0.645 0.434
## .EE6 0.840 0.084 10.043 0.000 0.840 0.482
## .FC1 0.574 0.047 12.176 0.000 0.574 0.677
## .FC2 0.580 0.067 8.621 0.000 0.580 0.446
## .FC4 0.679 0.060 11.335 0.000 0.679 0.437
## .B1 0.816 0.059 13.919 0.000 0.816 0.472
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.447
## PE2 0.659
## PE3 0.595
## PE4 0.293
## PE5 0.336
## PE6 0.737
## PE7 0.601
## PE8 0.749
## PE9 0.645
## SI1 0.758
## SI2 0.405
## SI3 0.694
## SI4 0.222
## SI5 0.300
## EE1 0.673
## EE2 0.633
## EE3 0.454
## EE4 0.477
## EE5 0.566
## EE6 0.518
## FC1 0.323
## FC2 0.554
## FC4 0.563
## B1 0.528
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.922 0.092 10.013 0.000 0.922 0.736
## PE2 1.136 0.078 14.615 0.000 1.136 0.855
## PE3 1.078 0.073 14.822 0.000 1.078 0.855
## PE4 0.882 0.078 11.345 0.000 0.882 0.797
## PE5 0.871 0.086 10.136 0.000 0.871 0.773
## PE6 1.080 0.072 14.983 0.000 1.080 0.895
## PE7 0.989 0.082 12.020 0.000 0.989 0.820
## PE8 1.057 0.081 12.995 0.000 1.057 0.845
## PE9 1.044 0.082 12.770 0.000 1.044 0.844
## SI =~
## SI1 1.001 0.075 13.331 0.000 1.001 0.850
## SI2 0.800 0.095 8.389 0.000 0.800 0.621
## SI3 1.174 0.072 16.356 0.000 1.174 0.886
## SI4 0.682 0.081 8.436 0.000 0.682 0.648
## SI5 0.652 0.092 7.122 0.000 0.652 0.531
## EEFC =~
## EE1 0.853 0.069 12.424 0.000 0.853 0.797
## EE2 0.888 0.065 13.648 0.000 0.888 0.826
## EE3 0.850 0.071 12.057 0.000 0.850 0.781
## EE4 0.656 0.095 6.922 0.000 0.656 0.529
## EE5 0.830 0.075 11.084 0.000 0.830 0.705
## EE6 0.796 0.080 9.899 0.000 0.796 0.662
## FC1 0.925 0.097 9.492 0.000 0.925 0.599
## FC2 0.951 0.083 11.401 0.000 0.951 0.732
## FC4 0.953 0.068 13.976 0.000 0.953 0.800
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.483 0.117 4.116 0.000 0.483 0.355
## SI 0.189 0.097 1.938 0.053 0.189 0.139
## EEFC 0.518 0.107 4.833 0.000 0.518 0.380
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## SI 0.663 0.053 12.527 0.000 0.663 0.663
## EEFC 0.552 0.065 8.432 0.000 0.552 0.552
## SI ~~
## EEFC 0.438 0.069 6.322 0.000 0.438 0.438
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 5.205 0.090 58.043 0.000 5.205 4.157
## .PE2 4.626 0.095 48.656 0.000 4.626 3.484
## .PE3 4.374 0.090 48.473 0.000 4.374 3.471
## .PE4 4.974 0.079 62.761 0.000 4.974 4.494
## .PE5 4.887 0.081 60.574 0.000 4.887 4.338
## .PE6 4.738 0.086 54.862 0.000 4.738 3.929
## .PE7 5.103 0.086 59.048 0.000 5.103 4.229
## .PE8 4.815 0.090 53.736 0.000 4.815 3.848
## .PE9 4.651 0.089 52.516 0.000 4.651 3.761
## .SI1 4.015 0.084 47.568 0.000 4.015 3.406
## .SI2 4.692 0.092 50.870 0.000 4.692 3.643
## .SI3 3.867 0.095 40.740 0.000 3.867 2.917
## .SI4 4.990 0.075 66.207 0.000 4.990 4.741
## .SI5 3.908 0.088 44.415 0.000 3.908 3.181
## .EE1 4.800 0.077 62.651 0.000 4.800 4.487
## .EE2 5.185 0.077 67.347 0.000 5.185 4.823
## .EE3 4.985 0.078 63.959 0.000 4.985 4.580
## .EE4 4.200 0.089 47.348 0.000 4.200 3.391
## .EE5 4.933 0.084 58.531 0.000 4.933 4.191
## .EE6 4.708 0.086 54.633 0.000 4.708 3.912
## .FC1 4.518 0.111 40.869 0.000 4.518 2.927
## .FC2 4.728 0.093 50.863 0.000 4.728 3.642
## .FC4 4.785 0.085 56.063 0.000 4.785 4.015
## .B1 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.718 0.149 4.828 0.000 0.718 0.458
## .PE2 0.473 0.074 6.389 0.000 0.473 0.268
## .PE3 0.426 0.053 8.093 0.000 0.426 0.268
## .PE4 0.446 0.057 7.819 0.000 0.446 0.364
## .PE5 0.511 0.065 7.850 0.000 0.511 0.402
## .PE6 0.289 0.044 6.638 0.000 0.289 0.199
## .PE7 0.477 0.070 6.828 0.000 0.477 0.328
## .PE8 0.449 0.080 5.577 0.000 0.449 0.287
## .PE9 0.440 0.055 7.981 0.000 0.440 0.288
## .SI1 0.387 0.054 7.183 0.000 0.387 0.278
## .SI2 1.019 0.119 8.598 0.000 1.019 0.614
## .SI3 0.377 0.072 5.272 0.000 0.377 0.215
## .SI4 0.642 0.072 8.963 0.000 0.642 0.580
## .SI5 1.084 0.135 8.027 0.000 1.084 0.718
## .EE1 0.417 0.052 8.023 0.000 0.417 0.364
## .EE2 0.368 0.048 7.589 0.000 0.368 0.318
## .EE3 0.461 0.056 8.305 0.000 0.461 0.389
## .EE4 1.104 0.127 8.711 0.000 1.104 0.720
## .EE5 0.697 0.115 6.068 0.000 0.697 0.503
## .EE6 0.814 0.111 7.343 0.000 0.814 0.562
## .FC1 1.528 0.155 9.831 0.000 1.528 0.641
## .FC2 0.781 0.117 6.682 0.000 0.781 0.464
## .FC4 0.512 0.067 7.648 0.000 0.512 0.360
## .B1 0.835 0.085 9.843 0.000 0.835 0.450
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.542
## PE2 0.732
## PE3 0.732
## PE4 0.636
## PE5 0.598
## PE6 0.801
## PE7 0.672
## PE8 0.713
## PE9 0.712
## SI1 0.722
## SI2 0.386
## SI3 0.785
## SI4 0.420
## SI5 0.282
## EE1 0.636
## EE2 0.682
## EE3 0.611
## EE4 0.280
## EE5 0.497
## EE6 0.438
## FC1 0.359
## FC2 0.536
## FC4 0.640
## B1 0.550
##
##
## Group 3 [2]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.875 0.095 9.162 0.000 0.875 0.711
## PE2 0.908 0.079 11.550 0.000 0.908 0.807
## PE3 0.836 0.071 11.755 0.000 0.836 0.807
## PE4 0.857 0.090 9.469 0.000 0.857 0.731
## PE5 0.798 0.090 8.827 0.000 0.798 0.705
## PE6 0.971 0.075 12.872 0.000 0.971 0.855
## PE7 0.808 0.097 8.315 0.000 0.808 0.686
## PE8 1.034 0.075 13.703 0.000 1.034 0.870
## PE9 0.961 0.071 13.547 0.000 0.961 0.831
## SI =~
## SI1 1.241 0.073 16.911 0.000 1.241 0.908
## SI2 0.788 0.103 7.671 0.000 0.788 0.561
## SI3 1.230 0.084 14.709 0.000 1.230 0.890
## SI4 0.567 0.094 6.010 0.000 0.567 0.463
## SI5 0.704 0.091 7.703 0.000 0.704 0.554
## EEFC =~
## EE1 0.721 0.075 9.597 0.000 0.721 0.733
## EE2 0.832 0.073 11.388 0.000 0.832 0.768
## EE3 0.845 0.069 12.256 0.000 0.845 0.782
## EE4 0.583 0.103 5.686 0.000 0.583 0.512
## EE5 0.712 0.089 7.965 0.000 0.712 0.609
## EE6 0.679 0.092 7.369 0.000 0.679 0.603
## FC1 0.822 0.108 7.593 0.000 0.822 0.501
## FC2 0.906 0.080 11.285 0.000 0.906 0.723
## FC4 0.947 0.073 12.930 0.000 0.947 0.801
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.546 0.124 4.414 0.000 0.546 0.361
## SI 0.098 0.102 0.961 0.336 0.098 0.065
## EEFC 0.664 0.123 5.403 0.000 0.664 0.439
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE ~~
## SI 0.559 0.052 10.730 0.000 0.559 0.559
## EEFC 0.680 0.043 15.919 0.000 0.680 0.680
## SI ~~
## EEFC 0.416 0.074 5.619 0.000 0.416 0.416
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 4.530 0.090 50.072 0.000 4.530 3.681
## .PE2 3.811 0.083 46.050 0.000 3.811 3.386
## .PE3 3.751 0.076 49.251 0.000 3.751 3.621
## .PE4 4.530 0.086 52.572 0.000 4.530 3.865
## .PE5 4.573 0.083 54.923 0.000 4.573 4.038
## .PE6 4.049 0.083 48.493 0.000 4.049 3.565
## .PE7 4.859 0.087 56.150 0.000 4.859 4.128
## .PE8 4.308 0.087 49.292 0.000 4.308 3.624
## .PE9 4.178 0.085 49.174 0.000 4.178 3.615
## .SI1 3.465 0.101 34.459 0.000 3.465 2.533
## .SI2 4.157 0.103 40.281 0.000 4.157 2.962
## .SI3 3.308 0.102 32.553 0.000 3.308 2.393
## .SI4 4.530 0.090 50.252 0.000 4.530 3.695
## .SI5 3.773 0.093 40.403 0.000 3.773 2.970
## .EE1 4.065 0.072 56.172 0.000 4.065 4.130
## .EE2 4.422 0.080 55.515 0.000 4.422 4.082
## .EE3 4.605 0.079 57.945 0.000 4.605 4.260
## .EE4 3.778 0.084 45.128 0.000 3.778 3.318
## .EE5 4.373 0.086 50.835 0.000 4.373 3.737
## .EE6 4.141 0.083 50.038 0.000 4.141 3.679
## .FC1 4.211 0.120 34.951 0.000 4.211 2.570
## .FC2 4.362 0.092 47.329 0.000 4.362 3.480
## .FC4 4.276 0.087 49.156 0.000 4.276 3.614
## .B1 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.749 0.109 6.877 0.000 0.749 0.495
## .PE2 0.442 0.065 6.821 0.000 0.442 0.349
## .PE3 0.375 0.049 7.718 0.000 0.375 0.349
## .PE4 0.640 0.076 8.412 0.000 0.640 0.466
## .PE5 0.646 0.079 8.183 0.000 0.646 0.503
## .PE6 0.347 0.044 7.845 0.000 0.347 0.269
## .PE7 0.734 0.088 8.328 0.000 0.734 0.529
## .PE8 0.344 0.048 7.246 0.000 0.344 0.244
## .PE9 0.413 0.072 5.712 0.000 0.413 0.309
## .SI1 0.330 0.078 4.208 0.000 0.330 0.176
## .SI2 1.349 0.150 8.994 0.000 1.349 0.685
## .SI3 0.396 0.117 3.381 0.001 0.396 0.207
## .SI4 1.181 0.120 9.859 0.000 1.181 0.786
## .SI5 1.118 0.138 8.089 0.000 1.118 0.693
## .EE1 0.448 0.056 7.940 0.000 0.448 0.463
## .EE2 0.482 0.074 6.468 0.000 0.482 0.410
## .EE3 0.454 0.071 6.439 0.000 0.454 0.389
## .EE4 0.957 0.128 7.451 0.000 0.957 0.738
## .EE5 0.862 0.129 6.688 0.000 0.862 0.630
## .EE6 0.806 0.112 7.186 0.000 0.806 0.636
## .FC1 2.010 0.203 9.883 0.000 2.010 0.749
## .FC2 0.751 0.113 6.642 0.000 0.751 0.478
## .FC4 0.502 0.084 6.001 0.000 0.502 0.359
## .B1 0.931 0.114 8.151 0.000 0.931 0.407
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.505
## PE2 0.651
## PE3 0.651
## PE4 0.534
## PE5 0.497
## PE6 0.731
## PE7 0.471
## PE8 0.756
## PE9 0.691
## SI1 0.824
## SI2 0.315
## SI3 0.793
## SI4 0.214
## SI5 0.307
## EE1 0.537
## EE2 0.590
## EE3 0.611
## EE4 0.262
## EE5 0.370
## EE6 0.364
## FC1 0.251
## FC2 0.522
## FC4 0.641
## B1 0.593inspect(overalldropFC3collapse, "cov.lv")## $`3`
## PE SI EEFC
## PE 1.000
## SI 0.509 1.000
## EEFC 0.590 0.401 1.000
##
## $`1`
## PE SI EEFC
## PE 1.000
## SI 0.663 1.000
## EEFC 0.552 0.438 1.000
##
## $`2`
## PE SI EEFC
## PE 1.000
## SI 0.559 1.000
## EEFC 0.680 0.416 1.000modificationindices(overalldropFC3collapse, sort = TRUE)## lhs op rhs block group level mi epc sepc.lv sepc.all
## 557 EE5 ~~ EE6 1 1 1 294.519 0.571 0.571 0.776
## 362 PE4 ~~ PE5 1 1 1 251.611 0.635 0.635 0.650
## 527 EE1 ~~ EE2 1 1 1 138.294 0.271 0.271 0.594
## 468 SI1 ~~ SI3 1 1 1 123.979 0.672 0.672 1.358
## 888 EE5 ~~ EE6 2 2 1 119.750 0.644 0.644 0.856
## 263 PE =~ FC4 1 1 1 105.179 0.478 0.478 0.384
## 693 PE4 ~~ PE5 2 2 1 97.967 0.369 0.369 0.772
## 552 EE4 ~~ EE6 1 1 1 92.110 0.403 0.403 0.423
## 319 PE2 ~~ PE3 1 1 1 84.032 0.304 0.304 0.420
## 1219 EE5 ~~ EE6 3 3 1 79.685 0.583 0.583 0.700
## 1024 PE4 ~~ PE5 3 3 1 72.604 0.432 0.432 0.673
## 323 PE2 ~~ PE7 1 1 1 70.393 -0.244 -0.244 -0.386
## 301 PE1 ~~ PE7 1 1 1 69.237 0.237 0.237 0.361
## 551 EE4 ~~ EE5 1 1 1 65.999 0.304 0.304 0.363
## 1130 SI1 ~~ SI3 3 3 1 64.479 1.059 1.059 2.929
## 569 FC2 ~~ FC4 1 1 1 62.596 0.227 0.227 0.361
## 259 PE =~ EE5 1 1 1 62.041 -0.359 -0.359 -0.294
## 482 SI2 ~~ SI4 1 1 1 51.957 0.278 0.278 0.310
## 566 FC1 ~~ FC2 1 1 1 50.639 0.178 0.178 0.308
## 267 SI =~ PE4 1 1 1 44.771 0.348 0.348 0.291
## 260 PE =~ EE6 1 1 1 42.347 -0.334 -0.334 -0.253
## 882 EE4 ~~ EE5 2 2 1 42.145 0.435 0.435 0.496
## 282 EEFC =~ PE1 1 1 1 41.080 0.310 0.310 0.262
## 560 EE5 ~~ FC4 1 1 1 40.758 -0.194 -0.194 -0.293
## 650 PE2 ~~ PE3 2 2 1 39.966 0.239 0.239 0.534
## 883 EE4 ~~ EE6 2 2 1 35.410 0.427 0.427 0.450
## 1214 EE4 ~~ EE6 3 3 1 35.308 0.403 0.403 0.459
## 531 EE1 ~~ EE6 1 1 1 34.260 -0.182 -0.182 -0.279
## 1213 EE4 ~~ EE5 3 3 1 33.027 0.404 0.404 0.445
## 280 SI =~ FC2 1 1 1 32.275 0.218 0.218 0.191
## 539 EE2 ~~ EE6 1 1 1 32.148 -0.155 -0.155 -0.264
## 506 SI4 ~~ SI5 1 1 1 32.039 0.253 0.253 0.238
## 268 SI =~ PE5 1 1 1 31.352 0.283 0.283 0.237
## 981 PE2 ~~ PE3 3 3 1 31.185 0.192 0.192 0.472
## 675 PE3 ~~ PE7 2 2 1 28.848 -0.199 -0.199 -0.442
## 277 SI =~ EE5 1 1 1 28.304 -0.216 -0.216 -0.177
## 897 FC1 ~~ FC2 2 2 1 27.882 0.450 0.450 0.411
## 294 EEFC =~ SI4 1 1 1 25.678 0.220 0.220 0.211
## 1144 SI2 ~~ SI4 3 3 1 25.268 0.486 0.486 0.385
## 858 EE1 ~~ EE2 2 2 1 25.217 0.180 0.180 0.459
## 364 PE4 ~~ PE7 1 1 1 24.292 0.158 0.158 0.210
## 559 EE5 ~~ FC2 1 1 1 23.903 -0.137 -0.137 -0.224
## 344 PE3 ~~ PE7 1 1 1 23.455 -0.139 -0.139 -0.217
## 371 PE4 ~~ SI5 1 1 1 23.424 0.233 0.233 0.200
## 469 SI1 ~~ SI4 1 1 1 23.388 -0.163 -0.163 -0.279
## 264 SI =~ PE1 1 1 1 23.364 0.223 0.223 0.189
## 625 EEFC =~ SI4 2 2 1 23.246 0.346 0.346 0.329
## 494 SI3 ~~ SI4 1 1 1 22.538 -0.175 -0.175 -0.245
## 402 PE6 ~~ PE8 1 1 1 22.348 0.113 0.113 0.253
## 435 PE7 ~~ B1 1 1 1 22.019 0.137 0.137 0.203
## 262 PE =~ FC2 1 1 1 21.978 0.202 0.202 0.177
## 320 PE2 ~~ PE4 1 1 1 21.613 -0.171 -0.171 -0.201
## 799 SI1 ~~ SI3 2 2 1 21.340 0.344 0.344 0.901
## 390 PE5 ~~ SI5 1 1 1 21.308 0.216 0.216 0.191
## 902 FC4 ~~ B1 2 2 1 21.146 0.242 0.242 0.370
## 389 PE5 ~~ SI4 1 1 1 20.771 0.167 0.167 0.187
## 302 PE1 ~~ PE8 1 1 1 20.433 -0.122 -0.122 -0.210
## 982 PE2 ~~ PE4 3 3 1 20.349 -0.196 -0.196 -0.369
## 714 PE5 ~~ PE7 2 2 1 20.263 0.175 0.175 0.355
## 564 EE6 ~~ FC4 1 1 1 20.061 -0.153 -0.153 -0.202
## 536 EE2 ~~ EE3 1 1 1 20.041 0.105 0.105 0.204
## 269 SI =~ PE6 1 1 1 19.958 -0.173 -0.173 -0.131
## 1233 FC4 ~~ B1 3 3 1 18.970 0.257 0.257 0.376
## 1189 EE1 ~~ EE2 3 3 1 18.561 0.175 0.175 0.376
## 281 SI =~ FC4 1 1 1 18.425 0.178 0.178 0.143
## 861 EE1 ~~ EE5 2 2 1 18.241 -0.191 -0.191 -0.355
## 365 PE4 ~~ PE8 1 1 1 17.960 -0.128 -0.128 -0.192
## 314 PE1 ~~ EE6 1 1 1 17.633 0.144 0.144 0.179
## 662 PE2 ~~ EE1 2 2 1 17.595 0.153 0.153 0.344
## 1091 PE7 ~~ EE4 3 3 1 17.267 -0.267 -0.267 -0.318
## 495 SI3 ~~ SI5 1 1 1 17.250 -0.202 -0.202 -0.224
## 544 EE3 ~~ EE4 1 1 1 16.835 -0.148 -0.148 -0.178
## 383 PE5 ~~ PE7 1 1 1 16.821 0.127 0.127 0.175
## 1168 SI4 ~~ SI5 3 3 1 16.671 0.359 0.359 0.312
## 654 PE2 ~~ PE7 2 2 1 16.652 -0.159 -0.159 -0.335
## 382 PE5 ~~ PE6 1 1 1 16.436 -0.120 -0.120 -0.183
## 1006 PE3 ~~ PE7 3 3 1 16.407 -0.172 -0.172 -0.327
## 623 EEFC =~ SI2 2 2 1 16.018 0.359 0.359 0.279
## 322 PE2 ~~ PE6 1 1 1 15.918 0.113 0.113 0.198
## 1228 FC1 ~~ FC2 3 3 1 15.736 0.388 0.388 0.316
## 608 SI =~ EE5 2 2 1 15.675 -0.299 -0.299 -0.254
## 543 EE2 ~~ B1 1 1 1 15.465 -0.101 -0.101 -0.175
## 537 EE2 ~~ EE4 1 1 1 15.330 -0.120 -0.120 -0.180
## 594 PE =~ FC4 2 2 1 15.244 0.277 0.277 0.233
## 590 PE =~ EE5 2 2 1 15.238 -0.310 -0.310 -0.263
## 1231 FC2 ~~ FC4 3 3 1 15.166 0.214 0.214 0.348
## 571 FC4 ~~ B1 1 1 1 15.105 0.125 0.125 0.169
## 924 PE =~ FC2 3 3 1 15.032 0.401 0.401 0.320
## 1221 EE5 ~~ FC2 3 3 1 14.977 -0.253 -0.253 -0.314
## 1222 EE5 ~~ FC4 3 3 1 14.976 -0.217 -0.217 -0.330
## 250 PE =~ SI1 1 1 1 14.954 -0.178 -0.178 -0.137
## 363 PE4 ~~ PE6 1 1 1 14.613 -0.117 -0.117 -0.172
## 481 SI2 ~~ SI3 1 1 1 14.516 -0.171 -0.171 -0.225
## 521 SI5 ~~ EE5 1 1 1 14.406 -0.152 -0.152 -0.163
## 652 PE2 ~~ PE5 2 2 1 14.343 -0.150 -0.150 -0.305
## 318 PE1 ~~ B1 1 1 1 14.248 0.126 0.126 0.158
## 613 EEFC =~ PE1 2 2 1 14.226 0.303 0.303 0.242
## 944 EEFC =~ PE1 3 3 1 14.158 0.380 0.380 0.309
## 1014 PE3 ~~ EE1 3 3 1 13.821 0.125 0.125 0.305
## 554 EE4 ~~ FC2 1 1 1 13.514 -0.130 -0.130 -0.164
## 289 EEFC =~ PE8 1 1 1 13.465 -0.147 -0.147 -0.111
## 450 PE8 ~~ FC4 1 1 1 13.008 0.091 0.091 0.167
## 895 EE6 ~~ FC4 2 2 1 12.895 -0.190 -0.190 -0.295
## 370 PE4 ~~ SI4 1 1 1 12.756 0.135 0.135 0.146
## 462 PE9 ~~ EE6 1 1 1 12.753 -0.114 -0.114 -0.157
## 925 PE =~ FC4 3 3 1 12.729 0.319 0.319 0.270
## 556 EE4 ~~ B1 1 1 1 12.644 0.142 0.142 0.151
## 592 PE =~ FC1 2 2 1 12.641 -0.408 -0.408 -0.265
## 609 SI =~ EE6 2 2 1 12.324 -0.284 -0.284 -0.236
## 533 EE1 ~~ FC2 1 1 1 12.290 -0.092 -0.092 -0.170
## 695 PE4 ~~ PE7 2 2 1 12.190 0.128 0.128 0.277
## 1045 PE5 ~~ PE7 3 3 1 12.142 0.187 0.187 0.272
## 591 PE =~ EE6 2 2 1 12.066 -0.295 -0.295 -0.245
## 1215 EE4 ~~ FC1 3 3 1 12.012 -0.366 -0.366 -0.264
## 916 PE =~ SI5 3 3 1 11.796 0.352 0.352 0.277
## 1098 PE8 ~~ PE9 3 3 1 11.783 0.119 0.119 0.315
## 546 EE3 ~~ EE6 1 1 1 11.714 -0.110 -0.110 -0.150
## 553 EE4 ~~ FC1 1 1 1 11.645 -0.114 -0.114 -0.145
## 868 EE2 ~~ EE4 2 2 1 11.633 -0.177 -0.177 -0.278
## 393 PE5 ~~ EE3 1 1 1 11.612 0.110 0.110 0.142
## 300 PE1 ~~ PE6 1 1 1 11.515 -0.093 -0.093 -0.156
## 550 EE3 ~~ B1 1 1 1 11.454 -0.103 -0.103 -0.143
## 492 SI2 ~~ FC4 1 1 1 11.281 0.119 0.119 0.147
## 321 PE2 ~~ PE5 1 1 1 11.139 -0.119 -0.119 -0.145
## 292 EEFC =~ SI2 1 1 1 11.128 0.160 0.160 0.126
## 922 PE =~ EE6 3 3 1 11.024 -0.342 -0.342 -0.304
## 528 EE1 ~~ EE3 1 1 1 10.918 0.087 0.087 0.154
## 305 PE1 ~~ SI2 1 1 1 10.882 0.121 0.121 0.140
## 1088 PE7 ~~ EE1 3 3 1 10.826 -0.150 -0.150 -0.262
## 1051 PE5 ~~ SI4 3 3 1 10.671 0.218 0.218 0.250
## 451 PE8 ~~ B1 1 1 1 10.540 -0.089 -0.089 -0.150
## 915 PE =~ SI4 3 3 1 10.478 0.338 0.338 0.275
## 278 SI =~ EE6 1 1 1 10.467 -0.148 -0.148 -0.112
## 857 SI5 ~~ B1 2 2 1 10.439 0.231 0.231 0.243
## 530 EE1 ~~ EE5 1 1 1 10.359 -0.089 -0.089 -0.157
## 399 PE5 ~~ FC4 1 1 1 10.335 -0.110 -0.110 -0.137
## 862 EE1 ~~ EE6 2 2 1 10.300 -0.153 -0.153 -0.263
## 440 PE8 ~~ SI4 1 1 1 10.229 -0.087 -0.087 -0.143
## 1143 SI2 ~~ SI3 3 3 1 10.198 -0.256 -0.256 -0.350
## 540 EE2 ~~ FC1 1 1 1 9.974 -0.068 -0.068 -0.140
## 535 EE1 ~~ B1 1 1 1 9.767 -0.091 -0.091 -0.142
## 912 PE =~ SI1 3 3 1 9.647 -0.264 -0.264 -0.193
## 584 PE =~ SI4 2 2 1 9.643 0.276 0.276 0.262
## 458 PE9 ~~ EE2 1 1 1 9.579 0.071 0.071 0.140
## 1032 PE4 ~~ SI4 3 3 1 9.527 0.206 0.206 0.237
## 674 PE3 ~~ PE6 2 2 1 9.488 0.096 0.096 0.274
## 483 SI2 ~~ SI5 1 1 1 9.332 0.152 0.152 0.133
## 586 PE =~ EE1 2 2 1 9.287 0.195 0.195 0.182
## 545 EE3 ~~ EE5 1 1 1 9.261 -0.087 -0.087 -0.135
## 456 PE9 ~~ SI5 1 1 1 9.239 0.121 0.121 0.131
## 983 PE2 ~~ PE5 3 3 1 9.211 -0.132 -0.132 -0.246
## 945 EEFC =~ PE2 3 3 1 8.994 0.240 0.240 0.214
## 967 PE1 ~~ SI2 3 3 1 8.988 0.233 0.233 0.232
## 1131 SI1 ~~ SI4 3 3 1 8.903 -0.206 -0.206 -0.330
## 1203 EE2 ~~ FC2 3 3 1 8.901 -0.156 -0.156 -0.259
## 254 PE =~ SI5 1 1 1 8.824 0.177 0.177 0.127
## 1004 PE3 ~~ PE5 3 3 1 8.806 -0.119 -0.119 -0.241
## 1005 PE3 ~~ PE6 3 3 1 8.798 0.094 0.094 0.261
## 1056 PE5 ~~ EE4 3 3 1 8.783 -0.179 -0.179 -0.228
## 852 SI5 ~~ EE5 2 2 1 8.717 -0.195 -0.195 -0.225
## 964 PE1 ~~ PE8 3 3 1 8.711 -0.128 -0.128 -0.253
## 973 PE1 ~~ EE3 3 3 1 8.671 0.140 0.140 0.240
## 604 SI =~ EE1 2 2 1 8.526 0.178 0.178 0.166
## 900 FC2 ~~ FC4 2 2 1 8.514 0.156 0.156 0.246
## 270 SI =~ PE7 1 1 1 8.367 0.117 0.117 0.099
## 722 PE5 ~~ EE1 2 2 1 8.328 -0.106 -0.106 -0.230
## 713 PE5 ~~ PE6 2 2 1 8.280 -0.093 -0.093 -0.242
## 253 PE =~ SI4 1 1 1 8.179 0.133 0.133 0.128
## 989 PE2 ~~ SI2 3 3 1 8.153 -0.175 -0.175 -0.226
## 1198 EE2 ~~ EE3 3 3 1 8.144 0.121 0.121 0.259
## 653 PE2 ~~ PE6 2 2 1 8.129 0.094 0.094 0.254
## 443 PE8 ~~ EE2 1 1 1 8.095 -0.057 -0.057 -0.135
## 1226 EE6 ~~ FC4 3 3 1 8.058 -0.154 -0.154 -0.242
## 800 SI1 ~~ SI4 2 2 1 8.046 -0.141 -0.141 -0.282
## 524 SI5 ~~ FC2 1 1 1 8.000 0.107 0.107 0.121
## 1095 PE7 ~~ FC2 3 3 1 7.948 0.166 0.166 0.224
## 307 PE1 ~~ SI4 1 1 1 7.900 0.094 0.094 0.116
## 622 EEFC =~ SI1 2 2 1 7.884 -0.186 -0.186 -0.158
## 638 PE1 ~~ SI4 2 2 1 7.772 0.145 0.145 0.213
## 988 PE2 ~~ SI1 3 3 1 7.617 0.108 0.108 0.282
## 520 SI5 ~~ EE4 1 1 1 7.607 -0.141 -0.141 -0.117
## 384 PE5 ~~ PE8 1 1 1 7.517 -0.080 -0.080 -0.125
## 885 EE4 ~~ FC2 2 2 1 7.492 -0.196 -0.196 -0.211
## 1026 PE4 ~~ PE7 3 3 1 7.459 0.147 0.147 0.215
## 757 PE7 ~~ EE1 2 2 1 7.454 -0.098 -0.098 -0.220
## 681 PE3 ~~ SI4 2 2 1 7.433 -0.113 -0.113 -0.216
## 716 PE5 ~~ PE9 2 2 1 7.245 -0.102 -0.102 -0.215
## 921 PE =~ EE5 3 3 1 7.240 -0.287 -0.287 -0.245
## 484 SI2 ~~ EE1 1 1 1 7.231 0.085 0.085 0.122
## 846 SI4 ~~ FC4 2 2 1 7.196 0.123 0.123 0.215
## 1003 PE3 ~~ PE4 3 3 1 7.179 -0.107 -0.107 -0.219
## 632 PE1 ~~ PE7 2 2 1 7.128 0.122 0.122 0.208
## 899 FC1 ~~ B1 2 2 1 7.120 -0.227 -0.227 -0.201
## 631 PE1 ~~ PE6 2 2 1 7.108 -0.101 -0.101 -0.221
## 913 PE =~ SI2 3 3 1 7.025 0.299 0.299 0.213
## 954 EEFC =~ SI2 3 3 1 6.974 0.273 0.273 0.194
## 953 EEFC =~ SI1 3 3 1 6.972 -0.194 -0.194 -0.142
## 532 EE1 ~~ FC1 1 1 1 6.953 -0.064 -0.064 -0.120
## 467 SI1 ~~ SI2 1 1 1 6.945 -0.111 -0.111 -0.178
## 1086 PE7 ~~ SI4 3 3 1 6.924 0.187 0.187 0.201
## 829 SI3 ~~ EE3 2 2 1 6.919 -0.106 -0.106 -0.254
## 694 PE4 ~~ PE6 2 2 1 6.881 -0.080 -0.080 -0.223
## 507 SI4 ~~ EE1 1 1 1 6.828 0.075 0.075 0.115
## 1105 PE8 ~~ EE2 3 3 1 6.807 -0.092 -0.092 -0.226
## 1156 SI3 ~~ SI4 3 3 1 6.686 -0.180 -0.180 -0.263
## 547 EE3 ~~ FC1 1 1 1 6.671 0.066 0.066 0.109
## 972 PE1 ~~ EE2 3 3 1 6.663 0.126 0.126 0.209
## 522 SI5 ~~ EE6 1 1 1 6.647 -0.117 -0.117 -0.110
## 669 PE2 ~~ FC2 2 2 1 6.513 -0.124 -0.124 -0.204
## 963 PE1 ~~ PE7 3 3 1 6.474 0.148 0.148 0.199
## 265 SI =~ PE2 1 1 1 6.470 -0.118 -0.118 -0.082
## 315 PE1 ~~ FC1 1 1 1 6.392 0.070 0.070 0.105
## 651 PE2 ~~ PE4 2 2 1 6.359 -0.094 -0.094 -0.205
## 768 PE8 ~~ SI1 2 2 1 6.314 -0.093 -0.093 -0.222
## 311 PE1 ~~ EE3 1 1 1 6.235 -0.074 -0.074 -0.105
## 1029 PE4 ~~ SI1 3 3 1 6.192 -0.114 -0.114 -0.249
## 705 PE4 ~~ EE3 2 2 1 6.184 0.090 0.090 0.198
## 696 PE4 ~~ PE8 2 2 1 6.176 -0.090 -0.090 -0.200
## 488 SI2 ~~ EE5 1 1 1 6.166 -0.086 -0.086 -0.109
## 291 EEFC =~ SI1 1 1 1 6.088 -0.103 -0.103 -0.079
## 918 PE =~ EE2 3 3 1 6.016 -0.209 -0.209 -0.193
## 541 EE2 ~~ FC2 1 1 1 5.984 -0.056 -0.056 -0.115
## 487 SI2 ~~ EE4 1 1 1 5.918 -0.107 -0.107 -0.105
## 746 PE6 ~~ FC1 2 2 1 5.876 -0.130 -0.130 -0.195
## 1020 PE3 ~~ FC1 3 3 1 5.852 -0.165 -0.165 -0.191
## 969 PE1 ~~ SI4 3 3 1 5.829 0.174 0.174 0.185
## 357 PE3 ~~ EE6 1 1 1 5.817 -0.082 -0.082 -0.105
## 436 PE8 ~~ PE9 1 1 1 5.794 0.063 0.063 0.120
## 764 PE7 ~~ FC2 2 2 1 5.778 0.115 0.115 0.189
## 1018 PE3 ~~ EE5 3 3 1 5.768 -0.109 -0.109 -0.191
## 984 PE2 ~~ PE6 3 3 1 5.687 0.082 0.082 0.210
## 261 PE =~ FC1 1 1 1 5.674 -0.098 -0.098 -0.106
## 860 EE1 ~~ EE4 2 2 1 5.667 -0.129 -0.129 -0.190
## 1212 EE3 ~~ B1 3 3 1 5.657 -0.131 -0.131 -0.202
## 251 PE =~ SI2 1 1 1 5.653 0.122 0.122 0.096
## 491 SI2 ~~ FC2 1 1 1 5.651 0.077 0.077 0.104
## 1141 SI1 ~~ FC4 3 3 1 5.641 -0.102 -0.102 -0.251
## 335 PE2 ~~ EE5 1 1 1 5.597 -0.072 -0.072 -0.106
## 337 PE2 ~~ FC1 1 1 1 5.593 -0.065 -0.065 -0.102
## 336 PE2 ~~ EE6 1 1 1 5.565 -0.081 -0.081 -0.104
## 339 PE2 ~~ FC4 1 1 1 5.551 0.073 0.073 0.105
## 985 PE2 ~~ PE7 3 3 1 5.523 -0.108 -0.108 -0.190
## 401 PE6 ~~ PE7 1 1 1 5.514 -0.057 -0.057 -0.113
## 457 PE9 ~~ EE1 1 1 1 5.440 0.060 0.060 0.107
## 351 PE3 ~~ SI5 1 1 1 5.434 -0.099 -0.099 -0.100
## 1204 EE2 ~~ FC4 3 3 1 5.379 -0.106 -0.106 -0.215
## 1225 EE6 ~~ FC2 3 3 1 5.374 -0.146 -0.146 -0.188
## 1072 PE6 ~~ EE2 3 3 1 5.364 -0.081 -0.081 -0.198
## 624 EEFC =~ SI3 2 2 1 5.331 -0.170 -0.170 -0.128
## 510 SI4 ~~ EE4 1 1 1 5.210 -0.091 -0.091 -0.096
## 1153 SI2 ~~ FC2 3 3 1 5.196 -0.181 -0.181 -0.180
## 986 PE2 ~~ PE8 3 3 1 5.179 -0.080 -0.080 -0.204
## 257 PE =~ EE3 1 1 1 5.132 0.100 0.100 0.092
## 599 SI =~ PE5 2 2 1 5.115 0.181 0.181 0.160
## 601 SI =~ PE7 2 2 1 5.111 0.177 0.177 0.147
## 324 PE2 ~~ PE8 1 1 1 5.044 0.063 0.063 0.113
## 683 PE3 ~~ EE1 2 2 1 5.011 0.077 0.077 0.184
## 978 PE1 ~~ FC2 3 3 1 5.006 -0.134 -0.134 -0.178
## 874 EE2 ~~ B1 2 2 1 4.969 -0.102 -0.102 -0.183
## 1120 PE9 ~~ EE2 3 3 1 4.941 -0.083 -0.083 -0.187
## 870 EE2 ~~ EE6 2 2 1 4.791 -0.101 -0.101 -0.184
## 977 PE1 ~~ FC1 3 3 1 4.785 0.206 0.206 0.168
## 563 EE6 ~~ FC2 1 1 1 4.745 -0.068 -0.068 -0.098
## 555 EE4 ~~ FC4 1 1 1 4.711 -0.083 -0.083 -0.097
## 439 PE8 ~~ SI3 1 1 1 4.694 0.057 0.057 0.112
## 620 EEFC =~ PE8 2 2 1 4.678 0.142 0.142 0.114
## 1048 PE5 ~~ SI1 3 3 1 4.654 -0.099 -0.099 -0.214
## 356 PE3 ~~ EE5 1 1 1 4.633 -0.065 -0.065 -0.095
## 1061 PE5 ~~ FC4 3 3 1 4.624 -0.101 -0.101 -0.177
## 424 PE7 ~~ SI4 1 1 1 4.606 0.062 0.062 0.091
## 1110 PE8 ~~ FC1 3 3 1 4.578 -0.146 -0.146 -0.175
## 1150 SI2 ~~ EE5 3 3 1 4.544 0.177 0.177 0.164
## 380 PE4 ~~ FC4 1 1 1 4.527 -0.075 -0.075 -0.090
## 284 EEFC =~ PE3 1 1 1 4.494 -0.103 -0.103 -0.076
## 431 PE7 ~~ EE6 1 1 1 4.474 0.063 0.063 0.092
## 293 EEFC =~ SI3 1 1 1 4.461 -0.096 -0.096 -0.068
## 763 PE7 ~~ FC1 2 2 1 4.449 0.138 0.138 0.162
## 833 SI3 ~~ FC1 2 2 1 4.438 0.148 0.148 0.195
## 266 SI =~ PE3 1 1 1 4.433 -0.097 -0.097 -0.072
## 890 EE5 ~~ FC2 2 2 1 4.432 -0.124 -0.124 -0.169
## 387 PE5 ~~ SI2 1 1 1 4.418 0.084 0.084 0.088
## 1177 SI4 ~~ FC4 3 3 1 4.415 0.131 0.131 0.171
## 920 PE =~ EE4 3 3 1 4.335 -0.230 -0.230 -0.202
## 1107 PE8 ~~ EE4 3 3 1 4.291 0.097 0.097 0.170
## 407 PE6 ~~ SI4 1 1 1 4.285 -0.057 -0.057 -0.092
## 279 SI =~ FC1 1 1 1 4.274 0.076 0.076 0.082
## 504 SI3 ~~ FC4 1 1 1 4.269 -0.065 -0.065 -0.102
## 697 PE4 ~~ PE9 2 2 1 4.260 -0.074 -0.074 -0.166
## 463 PE9 ~~ FC1 1 1 1 4.213 -0.053 -0.053 -0.088
## 673 PE3 ~~ PE5 2 2 1 4.200 -0.077 -0.077 -0.165
## 394 PE5 ~~ EE4 1 1 1 4.180 -0.087 -0.087 -0.086
## 867 EE2 ~~ EE3 2 2 1 4.176 0.076 0.076 0.184
## 1125 PE9 ~~ FC1 3 3 1 4.175 0.148 0.148 0.163
## 600 SI =~ PE6 2 2 1 4.150 -0.132 -0.132 -0.109
## 1015 PE3 ~~ EE2 3 3 1 4.116 0.072 0.072 0.169
## 1187 SI5 ~~ FC4 3 3 1 4.092 0.124 0.124 0.166
## 565 EE6 ~~ B1 1 1 1 4.090 0.072 0.072 0.087
## 1116 PE9 ~~ SI3 3 3 1 4.061 -0.079 -0.079 -0.196
## 615 EEFC =~ PE3 2 2 1 3.994 -0.129 -0.129 -0.102
## 776 PE8 ~~ EE4 2 2 1 3.993 0.108 0.108 0.154
## 1183 SI5 ~~ EE5 3 3 1 3.987 -0.151 -0.151 -0.154
## 542 EE2 ~~ FC4 1 1 1 3.962 -0.050 -0.050 -0.094
## 361 PE3 ~~ B1 1 1 1 3.924 -0.066 -0.066 -0.085
## 334 PE2 ~~ EE4 1 1 1 3.913 0.076 0.076 0.087
## 788 PE9 ~~ EE1 2 2 1 3.911 0.069 0.069 0.161
## 350 PE3 ~~ SI4 1 1 1 3.880 -0.065 -0.065 -0.083
## 975 PE1 ~~ EE5 3 3 1 3.844 0.122 0.122 0.152
## 286 EEFC =~ PE5 1 1 1 3.831 -0.103 -0.103 -0.087
## 942 SI =~ FC2 3 3 1 3.769 0.156 0.156 0.125
## 748 PE6 ~~ FC4 2 2 1 3.757 0.063 0.063 0.165
## 296 PE1 ~~ PE2 1 1 1 3.741 -0.064 -0.064 -0.086
## 956 EEFC =~ SI4 3 3 1 3.728 0.185 0.185 0.151
## 602 SI =~ PE8 2 2 1 3.721 -0.149 -0.149 -0.119
## 297 PE1 ~~ PE3 1 1 1 3.721 -0.063 -0.063 -0.084
## 500 SI3 ~~ EE5 1 1 1 3.720 0.059 0.059 0.095
## 754 PE7 ~~ SI3 2 2 1 3.707 0.077 0.077 0.183
## 835 SI3 ~~ FC4 2 2 1 3.705 -0.082 -0.082 -0.188
## 1053 PE5 ~~ EE1 3 3 1 3.685 -0.082 -0.082 -0.153
## 513 SI4 ~~ FC1 1 1 1 3.648 0.055 0.055 0.079
## 303 PE1 ~~ PE9 1 1 1 3.621 -0.058 -0.058 -0.084
## 470 SI1 ~~ SI5 1 1 1 3.597 -0.085 -0.085 -0.116
## 1093 PE7 ~~ EE6 3 3 1 3.591 -0.113 -0.113 -0.147
## 276 SI =~ EE4 1 1 1 3.566 -0.097 -0.097 -0.067
## 612 SI =~ FC4 2 2 1 3.559 0.127 0.127 0.107
## 617 EEFC =~ PE5 2 2 1 3.497 -0.128 -0.128 -0.113
## 884 EE4 ~~ FC1 2 2 1 3.482 -0.181 -0.181 -0.140
## 777 PE8 ~~ EE5 2 2 1 3.479 0.082 0.082 0.147
## 1016 PE3 ~~ EE3 3 3 1 3.460 -0.064 -0.064 -0.156
## 1197 EE1 ~~ B1 3 3 1 3.441 -0.099 -0.099 -0.153
## 1069 PE6 ~~ SI4 3 3 1 3.401 -0.095 -0.095 -0.149
## 644 PE1 ~~ EE5 2 2 1 3.373 0.099 0.099 0.141
## 1012 PE3 ~~ SI4 3 3 1 3.371 -0.096 -0.096 -0.144
## 275 SI =~ EE3 1 1 1 3.357 0.072 0.072 0.067
## 640 PE1 ~~ EE1 2 2 1 3.349 -0.079 -0.079 -0.145
## 378 PE4 ~~ FC1 1 1 1 3.340 0.057 0.057 0.075
## 1030 PE4 ~~ SI2 3 3 1 3.338 0.132 0.132 0.142
## 789 PE9 ~~ EE2 2 2 1 3.312 -0.061 -0.061 -0.151
## 935 SI =~ EE1 3 3 1 3.304 0.113 0.113 0.115
## 812 SI2 ~~ SI3 2 2 1 3.293 -0.124 -0.124 -0.200
## 349 PE3 ~~ SI3 1 1 1 3.245 0.058 0.058 0.088
## 525 SI5 ~~ FC4 1 1 1 3.237 0.074 0.074 0.077
## 962 PE1 ~~ PE6 3 3 1 3.237 -0.077 -0.077 -0.151
## 1206 EE3 ~~ EE4 3 3 1 3.230 -0.097 -0.097 -0.148
## 1041 PE4 ~~ FC2 3 3 1 3.226 0.100 0.100 0.144
## 1195 EE1 ~~ FC2 3 3 1 3.216 -0.088 -0.088 -0.152
## 672 PE3 ~~ PE4 2 2 1 3.210 -0.064 -0.064 -0.146
## 780 PE8 ~~ FC2 2 2 1 3.190 -0.084 -0.084 -0.142
## 330 PE2 ~~ SI5 1 1 1 3.160 -0.076 -0.076 -0.077
## 1074 PE6 ~~ EE4 3 3 1 3.149 0.083 0.083 0.144
## 1084 PE7 ~~ SI2 3 3 1 3.133 0.136 0.136 0.136
## 496 SI3 ~~ EE1 1 1 1 3.131 -0.050 -0.050 -0.090
## 1132 SI1 ~~ SI5 3 3 1 3.130 -0.127 -0.127 -0.210
## 549 EE3 ~~ FC4 1 1 1 3.127 -0.052 -0.052 -0.079
## 346 PE3 ~~ PE9 1 1 1 3.089 -0.054 -0.054 -0.080
## 316 PE1 ~~ FC2 1 1 1 3.070 0.050 0.050 0.075
## 957 EEFC =~ SI5 3 3 1 3.037 0.164 0.164 0.129
## 873 EE2 ~~ FC4 2 2 1 3.028 -0.069 -0.069 -0.159
## 1085 PE7 ~~ SI3 3 3 1 2.995 -0.087 -0.087 -0.161
## 718 PE5 ~~ SI2 2 2 1 2.982 0.095 0.095 0.132
## 647 PE1 ~~ FC2 2 2 1 2.981 0.100 0.100 0.133
## 570 FC2 ~~ B1 1 1 1 2.924 0.051 0.051 0.074
## 991 PE2 ~~ SI4 3 3 1 2.923 -0.097 -0.097 -0.134
## 629 PE1 ~~ PE4 2 2 1 2.865 0.074 0.074 0.131
## 1044 PE5 ~~ PE6 3 3 1 2.844 -0.067 -0.067 -0.142
## 642 PE1 ~~ EE3 2 2 1 2.841 0.076 0.076 0.132
## 891 EE5 ~~ FC4 2 2 1 2.840 -0.084 -0.084 -0.140
## 742 PE6 ~~ EE3 2 2 1 2.836 -0.052 -0.052 -0.142
## 341 PE3 ~~ PE4 1 1 1 2.820 -0.061 -0.061 -0.071
## 687 PE3 ~~ EE5 2 2 1 2.812 -0.072 -0.072 -0.133
## 583 PE =~ SI3 2 2 1 2.795 -0.163 -0.163 -0.123
## 408 PE6 ~~ SI5 1 1 1 2.778 -0.059 -0.059 -0.075
## 627 PE1 ~~ PE2 2 2 1 2.762 -0.077 -0.077 -0.132
## 898 FC1 ~~ FC4 2 2 1 2.731 -0.118 -0.118 -0.133
## 425 PE7 ~~ SI5 1 1 1 2.714 0.061 0.061 0.070
## 807 SI1 ~~ EE6 2 2 1 2.701 -0.079 -0.079 -0.142
## 411 PE6 ~~ EE3 1 1 1 2.697 0.040 0.040 0.074
## 940 SI =~ EE6 3 3 1 2.571 -0.129 -0.129 -0.115
## 847 SI4 ~~ B1 2 2 1 2.565 0.090 0.090 0.123
## 703 PE4 ~~ EE1 2 2 1 2.565 -0.055 -0.055 -0.128
## 518 SI5 ~~ EE2 1 1 1 2.554 0.052 0.052 0.070
## 497 SI3 ~~ EE2 1 1 1 2.530 -0.040 -0.040 -0.080
## 420 PE7 ~~ PE9 1 1 1 2.530 0.043 0.043 0.073
## 1067 PE6 ~~ SI2 3 3 1 2.520 -0.088 -0.088 -0.129
## 834 SI3 ~~ FC2 2 2 1 2.510 0.082 0.082 0.150
## 1059 PE5 ~~ FC1 3 3 1 2.508 0.138 0.138 0.122
## 353 PE3 ~~ EE2 1 1 1 2.461 0.039 0.039 0.070
## 529 EE1 ~~ EE4 1 1 1 2.424 -0.054 -0.054 -0.073
## 781 PE8 ~~ FC4 2 2 1 2.394 0.061 0.061 0.126
## 974 PE1 ~~ EE4 3 3 1 2.377 -0.100 -0.100 -0.119
## 811 SI1 ~~ B1 2 2 1 2.372 -0.078 -0.078 -0.138
## 388 PE5 ~~ SI3 1 1 1 2.371 -0.055 -0.055 -0.073
## 1080 PE6 ~~ B1 3 3 1 2.364 -0.073 -0.073 -0.129
## 1174 SI4 ~~ EE6 3 3 1 2.345 -0.114 -0.114 -0.117
## 810 SI1 ~~ FC4 2 2 1 2.331 -0.061 -0.061 -0.137
## 1034 PE4 ~~ EE1 3 3 1 2.324 -0.065 -0.065 -0.122
## 598 SI =~ PE4 2 2 1 2.318 0.115 0.115 0.103
## 1188 SI5 ~~ B1 3 3 1 2.318 0.121 0.121 0.118
## 1127 PE9 ~~ FC4 3 3 1 2.301 0.059 0.059 0.130
## 452 PE9 ~~ SI1 1 1 1 2.298 -0.041 -0.041 -0.081
## 287 EEFC =~ PE6 1 1 1 2.288 0.061 0.061 0.047
## 1157 SI3 ~~ SI5 3 3 1 2.282 -0.109 -0.109 -0.164
## 1216 EE4 ~~ FC2 3 3 1 2.249 -0.101 -0.101 -0.120
## 658 PE2 ~~ SI2 2 2 1 2.209 -0.081 -0.081 -0.117
## 724 PE5 ~~ EE3 2 2 1 2.200 0.057 0.057 0.117
## 733 PE6 ~~ PE8 2 2 1 2.191 0.047 0.047 0.130
## 562 EE6 ~~ FC1 1 1 1 2.164 0.044 0.044 0.063
## 1180 SI5 ~~ EE2 3 3 1 2.160 -0.087 -0.087 -0.118
## 508 SI4 ~~ EE2 1 1 1 2.133 0.037 0.037 0.063
## 997 PE2 ~~ EE5 3 3 1 2.128 -0.072 -0.072 -0.116
## 597 SI =~ PE3 2 2 1 2.118 -0.110 -0.110 -0.087
## 447 PE8 ~~ EE6 1 1 1 2.106 -0.040 -0.040 -0.067
## 1077 PE6 ~~ FC1 3 3 1 2.101 -0.098 -0.098 -0.117
## 588 PE =~ EE3 2 2 1 2.099 0.097 0.097 0.089
## 992 PE2 ~~ SI5 3 3 1 2.095 -0.081 -0.081 -0.115
## 832 SI3 ~~ EE6 2 2 1 2.087 0.075 0.075 0.135
## 639 PE1 ~~ SI5 2 2 1 2.087 -0.096 -0.096 -0.108
## 274 SI =~ EE2 1 1 1 2.086 -0.048 -0.048 -0.045
## 893 EE6 ~~ FC1 2 2 1 2.067 0.122 0.122 0.110
## 1184 SI5 ~~ EE6 3 3 1 2.063 -0.105 -0.105 -0.111
## 715 PE5 ~~ PE8 2 2 1 2.061 -0.055 -0.055 -0.115
## 479 SI1 ~~ FC4 1 1 1 2.046 -0.040 -0.040 -0.076
## 816 SI2 ~~ EE2 2 2 1 2.032 0.071 0.071 0.116
## 666 PE2 ~~ EE5 2 2 1 2.029 -0.065 -0.065 -0.113
## 1060 PE5 ~~ FC2 3 3 1 2.019 0.079 0.079 0.113
## 947 EEFC =~ PE4 3 3 1 2.010 -0.133 -0.133 -0.113
## 637 PE1 ~~ SI3 2 2 1 1.994 -0.068 -0.068 -0.131
## 288 EEFC =~ PE7 1 1 1 1.991 0.060 0.060 0.051
## 1054 PE5 ~~ EE2 3 3 1 1.984 0.064 0.064 0.114
## 582 PE =~ SI2 2 2 1 1.977 0.156 0.156 0.121
## 368 PE4 ~~ SI2 1 1 1 1.962 0.058 0.058 0.059
## 1193 EE1 ~~ EE6 3 3 1 1.956 -0.068 -0.068 -0.114
## 342 PE3 ~~ PE5 1 1 1 1.949 -0.050 -0.050 -0.060
## 887 EE4 ~~ B1 2 2 1 1.940 0.100 0.100 0.104
## 461 PE9 ~~ EE5 1 1 1 1.922 -0.039 -0.039 -0.062
## 477 SI1 ~~ FC1 1 1 1 1.921 0.034 0.034 0.071
## 1049 PE5 ~~ SI2 3 3 1 1.921 0.100 0.100 0.107
## 1043 PE4 ~~ B1 3 3 1 1.918 0.085 0.085 0.110
## 712 PE4 ~~ B1 2 2 1 1.911 -0.065 -0.065 -0.106
## 1062 PE5 ~~ B1 3 3 1 1.903 0.084 0.084 0.109
## 856 SI5 ~~ FC4 2 2 1 1.895 0.081 0.081 0.108
## 1025 PE4 ~~ PE6 3 3 1 1.893 -0.055 -0.055 -0.117
## 360 PE3 ~~ FC4 1 1 1 1.885 0.042 0.042 0.060
## 374 PE4 ~~ EE3 1 1 1 1.877 0.046 0.046 0.057
## 750 PE7 ~~ PE8 2 2 1 1.875 0.052 0.052 0.112
## 1075 PE6 ~~ EE5 3 3 1 1.859 -0.061 -0.061 -0.112
## 1108 PE8 ~~ EE5 3 3 1 1.853 0.061 0.061 0.113
## 792 PE9 ~~ EE5 2 2 1 1.838 -0.059 -0.059 -0.107
## 1087 PE7 ~~ SI5 3 3 1 1.838 0.094 0.094 0.104
## 923 PE =~ FC1 3 3 1 1.834 -0.217 -0.217 -0.132
## 704 PE4 ~~ EE2 2 2 1 1.825 0.045 0.045 0.110
## 815 SI2 ~~ EE1 2 2 1 1.817 -0.070 -0.070 -0.107
## 423 PE7 ~~ SI3 1 1 1 1.811 -0.038 -0.038 -0.066
## 367 PE4 ~~ SI1 1 1 1 1.804 0.044 0.044 0.069
## 689 PE3 ~~ FC1 2 2 1 1.796 -0.084 -0.084 -0.104
## 664 PE2 ~~ EE3 2 2 1 1.781 0.051 0.051 0.109
## 1200 EE2 ~~ EE5 3 3 1 1.770 0.071 0.071 0.111
## 938 SI =~ EE4 3 3 1 1.726 -0.114 -0.114 -0.100
## 838 SI4 ~~ EE1 2 2 1 1.717 0.054 0.054 0.105
## 837 SI4 ~~ SI5 2 2 1 1.686 0.084 0.084 0.100
## 1070 PE6 ~~ SI5 3 3 1 1.676 0.066 0.066 0.105
## 332 PE2 ~~ EE2 1 1 1 1.667 0.032 0.032 0.059
## 927 SI =~ PE2 3 3 1 1.662 0.088 0.088 0.078
## 707 PE4 ~~ EE5 2 2 1 1.632 -0.055 -0.055 -0.099
## 493 SI2 ~~ B1 1 1 1 1.631 -0.049 -0.049 -0.055
## 688 PE3 ~~ EE6 2 2 1 1.629 -0.059 -0.059 -0.100
## 939 SI =~ EE5 3 3 1 1.626 -0.106 -0.106 -0.091
## 825 SI3 ~~ SI4 2 2 1 1.617 -0.071 -0.071 -0.144
## 312 PE1 ~~ EE4 1 1 1 1.606 0.049 0.049 0.054
## 853 SI5 ~~ EE6 2 2 1 1.598 -0.090 -0.090 -0.095
## 409 PE6 ~~ EE1 1 1 1 1.587 0.029 0.029 0.060
## 802 SI1 ~~ EE1 2 2 1 1.583 0.045 0.045 0.113
## 836 SI3 ~~ B1 2 2 1 1.581 -0.071 -0.071 -0.126
## 630 PE1 ~~ PE5 2 2 1 1.579 0.058 0.058 0.096
## 1114 PE9 ~~ SI1 3 3 1 1.573 0.048 0.048 0.130
## 996 PE2 ~~ EE4 3 3 1 1.573 0.064 0.064 0.099
## 501 SI3 ~~ EE6 1 1 1 1.556 0.043 0.043 0.061
## 1068 PE6 ~~ SI3 3 3 1 1.549 0.046 0.046 0.123
## 717 PE5 ~~ SI1 2 2 1 1.541 0.048 0.048 0.107
## 1064 PE6 ~~ PE8 3 3 1 1.531 0.040 0.040 0.117
## 514 SI4 ~~ FC2 1 1 1 1.511 0.037 0.037 0.052
## 875 EE3 ~~ EE4 2 2 1 1.511 -0.069 -0.069 -0.097
## 474 SI1 ~~ EE4 1 1 1 1.507 0.043 0.043 0.064
## 271 SI =~ PE8 1 1 1 1.504 -0.047 -0.047 -0.035
## 797 PE9 ~~ B1 2 2 1 1.487 0.058 0.058 0.095
## 668 PE2 ~~ FC1 2 2 1 1.481 -0.081 -0.081 -0.095
## 949 EEFC =~ PE6 3 3 1 1.479 -0.089 -0.089 -0.079
## 660 PE2 ~~ SI4 2 2 1 1.471 -0.053 -0.053 -0.096
## 1039 PE4 ~~ EE6 3 3 1 1.455 -0.068 -0.068 -0.094
## 340 PE2 ~~ B1 1 1 1 1.431 -0.040 -0.040 -0.053
## 453 PE9 ~~ SI2 1 1 1 1.429 -0.041 -0.041 -0.053
## 395 PE5 ~~ EE5 1 1 1 1.424 -0.040 -0.040 -0.051
## 438 PE8 ~~ SI2 1 1 1 1.419 -0.035 -0.035 -0.055
## 272 SI =~ PE9 1 1 1 1.413 -0.052 -0.052 -0.039
## 814 SI2 ~~ SI5 2 2 1 1.411 -0.096 -0.096 -0.091
## 1037 PE4 ~~ EE4 3 3 1 1.411 -0.072 -0.072 -0.092
## 1001 PE2 ~~ FC4 3 3 1 1.409 0.047 0.047 0.101
## 1185 SI5 ~~ FC1 3 3 1 1.393 -0.135 -0.135 -0.090
## 817 SI2 ~~ EE3 2 2 1 1.392 0.064 0.064 0.093
## 767 PE8 ~~ PE9 2 2 1 1.375 0.043 0.043 0.097
## 1172 SI4 ~~ EE4 3 3 1 1.371 -0.094 -0.094 -0.089
## 1186 SI5 ~~ FC2 3 3 1 1.368 0.085 0.085 0.092
## 755 PE7 ~~ SI4 2 2 1 1.366 0.050 0.050 0.091
## 512 SI4 ~~ EE6 1 1 1 1.359 -0.041 -0.041 -0.049
## 725 PE5 ~~ EE4 2 2 1 1.358 -0.066 -0.066 -0.088
## 813 SI2 ~~ SI4 2 2 1 1.355 0.074 0.074 0.092
## 616 EEFC =~ PE4 2 2 1 1.350 -0.075 -0.075 -0.068
## 417 PE6 ~~ FC4 1 1 1 1.349 0.030 0.030 0.053
## 298 PE1 ~~ PE4 1 1 1 1.342 0.042 0.042 0.048
## 442 PE8 ~~ EE1 1 1 1 1.342 -0.026 -0.026 -0.056
## 1097 PE7 ~~ B1 3 3 1 1.340 0.075 0.075 0.091
## 1124 PE9 ~~ EE6 3 3 1 1.327 -0.054 -0.054 -0.093
## 636 PE1 ~~ SI2 2 2 1 1.295 0.074 0.074 0.086
## 775 PE8 ~~ EE3 2 2 1 1.291 -0.042 -0.042 -0.092
## 1201 EE2 ~~ EE6 3 3 1 1.272 -0.058 -0.058 -0.094
## 841 SI4 ~~ EE4 2 2 1 1.269 -0.072 -0.072 -0.085
## 711 PE4 ~~ FC4 2 2 1 1.263 -0.043 -0.043 -0.090
## 581 PE =~ SI1 2 2 1 1.254 -0.097 -0.097 -0.082
## 386 PE5 ~~ SI1 1 1 1 1.248 0.035 0.035 0.057
## 448 PE8 ~~ FC1 1 1 1 1.243 -0.025 -0.025 -0.050
## 738 PE6 ~~ SI4 2 2 1 1.233 -0.039 -0.039 -0.091
## 1081 PE7 ~~ PE8 3 3 1 1.229 0.047 0.047 0.094
## 343 PE3 ~~ PE6 1 1 1 1.228 0.031 0.031 0.053
## 310 PE1 ~~ EE2 1 1 1 1.205 -0.027 -0.027 -0.048
## 894 EE6 ~~ FC2 2 2 1 1.204 -0.069 -0.069 -0.087
## 872 EE2 ~~ FC2 2 2 1 1.202 -0.051 -0.051 -0.095
## 676 PE3 ~~ PE8 2 2 1 1.196 -0.040 -0.040 -0.091
## 1227 EE6 ~~ B1 3 3 1 1.194 0.075 0.075 0.086
## 593 PE =~ FC2 2 2 1 1.188 -0.092 -0.092 -0.071
## 381 PE4 ~~ B1 1 1 1 1.180 0.041 0.041 0.045
## 1021 PE3 ~~ FC2 3 3 1 1.175 -0.047 -0.047 -0.089
## 1176 SI4 ~~ FC2 3 3 1 1.168 -0.080 -0.080 -0.085
## 968 PE1 ~~ SI3 3 3 1 1.157 -0.055 -0.055 -0.101
## 958 PE1 ~~ PE2 3 3 1 1.154 0.050 0.050 0.087
## 1109 PE8 ~~ EE6 3 3 1 1.145 0.047 0.047 0.089
## 397 PE5 ~~ FC1 1 1 1 1.131 0.032 0.032 0.044
## 1010 PE3 ~~ SI2 3 3 1 1.124 -0.060 -0.060 -0.084
## 398 PE5 ~~ FC2 1 1 1 1.115 0.033 0.033 0.045
## 999 PE2 ~~ FC1 3 3 1 1.101 -0.078 -0.078 -0.083
## 708 PE4 ~~ EE6 2 2 1 1.090 -0.048 -0.048 -0.080
## 460 PE9 ~~ EE4 1 1 1 1.085 -0.037 -0.037 -0.046
## 611 SI =~ FC2 2 2 1 1.078 0.084 0.084 0.065
## 993 PE2 ~~ EE1 3 3 1 1.075 0.038 0.038 0.085
## 1071 PE6 ~~ EE1 3 3 1 1.072 0.034 0.034 0.087
## 987 PE2 ~~ PE9 3 3 1 1.064 -0.038 -0.038 -0.089
## 345 PE3 ~~ PE8 1 1 1 1.058 0.028 0.028 0.050
## 375 PE4 ~~ EE4 1 1 1 1.052 -0.045 -0.045 -0.043
## 446 PE8 ~~ EE5 1 1 1 1.052 -0.025 -0.025 -0.048
## 603 SI =~ PE9 2 2 1 1.049 0.078 0.078 0.063
## 1147 SI2 ~~ EE2 3 3 1 1.034 0.066 0.066 0.082
## 881 EE3 ~~ B1 2 2 1 1.033 -0.050 -0.050 -0.081
## 471 SI1 ~~ EE1 1 1 1 1.031 -0.025 -0.025 -0.056
## 994 PE2 ~~ EE2 3 3 1 1.030 0.039 0.039 0.084
## 1133 SI1 ~~ EE1 3 3 1 1.029 0.040 0.040 0.104
## 720 PE5 ~~ SI4 2 2 1 1.011 0.044 0.044 0.077
## 473 SI1 ~~ EE3 1 1 1 1.008 0.027 0.027 0.052
## 914 PE =~ SI3 3 3 1 1.000 -0.086 -0.086 -0.062
## 786 PE9 ~~ SI4 2 2 1 0.990 0.042 0.042 0.078
## 670 PE2 ~~ FC4 2 2 1 0.975 -0.040 -0.040 -0.081
## 759 PE7 ~~ EE3 2 2 1 0.974 -0.037 -0.037 -0.079
## 1078 PE6 ~~ FC2 3 3 1 0.973 0.042 0.042 0.083
## 929 SI =~ PE4 3 3 1 0.965 -0.079 -0.079 -0.067
## 667 PE2 ~~ EE6 2 2 1 0.960 -0.048 -0.048 -0.077
## 415 PE6 ~~ FC1 1 1 1 0.952 -0.022 -0.022 -0.043
## 628 PE1 ~~ PE3 2 2 1 0.950 -0.043 -0.043 -0.078
## 952 EEFC =~ PE9 3 3 1 0.949 -0.077 -0.077 -0.066
## 366 PE4 ~~ PE9 1 1 1 0.944 -0.033 -0.033 -0.042
## 843 SI4 ~~ EE6 2 2 1 0.943 -0.054 -0.054 -0.075
## 677 PE3 ~~ PE9 2 2 1 0.942 0.035 0.035 0.081
## 863 EE1 ~~ FC1 2 2 1 0.941 -0.062 -0.062 -0.078
## 490 SI2 ~~ FC1 1 1 1 0.940 0.030 0.030 0.041
## 979 PE1 ~~ FC4 3 3 1 0.939 -0.049 -0.049 -0.080
## 449 PE8 ~~ FC2 1 1 1 0.935 0.023 0.023 0.045
## 1121 PE9 ~~ EE3 3 3 1 0.930 -0.035 -0.035 -0.082
## 1063 PE6 ~~ PE7 3 3 1 0.922 -0.040 -0.040 -0.080
## 1217 EE4 ~~ FC4 3 3 1 0.918 -0.055 -0.055 -0.080
## 1191 EE1 ~~ EE4 3 3 1 0.911 0.050 0.050 0.076
## 784 PE9 ~~ SI2 2 2 1 0.909 -0.050 -0.050 -0.075
## 1011 PE3 ~~ SI3 3 3 1 0.888 0.035 0.035 0.090
## 1194 EE1 ~~ FC1 3 3 1 0.888 -0.072 -0.072 -0.075
## 732 PE6 ~~ PE7 2 2 1 0.886 -0.030 -0.030 -0.081
## 1008 PE3 ~~ PE9 3 3 1 0.881 -0.032 -0.032 -0.081
## 355 PE3 ~~ EE4 1 1 1 0.878 -0.036 -0.036 -0.040
## 806 SI1 ~~ EE5 2 2 1 0.877 -0.042 -0.042 -0.081
## 404 PE6 ~~ SI1 1 1 1 0.874 -0.022 -0.022 -0.052
## 256 PE =~ EE2 1 1 1 0.854 -0.034 -0.034 -0.033
## 771 PE8 ~~ SI4 2 2 1 0.851 0.039 0.039 0.073
## 1140 SI1 ~~ FC2 3 3 1 0.849 0.047 0.047 0.094
## 871 EE2 ~~ FC1 2 2 1 0.842 0.057 0.057 0.076
## 1099 PE8 ~~ SI1 3 3 1 0.839 -0.033 -0.033 -0.097
## 273 SI =~ EE1 1 1 1 0.835 -0.034 -0.034 -0.028
## 1102 PE8 ~~ SI4 3 3 1 0.821 -0.047 -0.047 -0.074
## 1058 PE5 ~~ EE6 3 3 1 0.821 -0.051 -0.051 -0.070
## 283 EEFC =~ PE2 1 1 1 0.820 -0.044 -0.044 -0.031
## 1096 PE7 ~~ FC4 3 3 1 0.819 0.045 0.045 0.074
## 731 PE5 ~~ B1 2 2 1 0.818 -0.045 -0.045 -0.069
## 290 EEFC =~ PE9 1 1 1 0.808 0.041 0.041 0.031
## 879 EE3 ~~ FC2 2 2 1 0.805 -0.045 -0.045 -0.075
## 665 PE2 ~~ EE4 2 2 1 0.802 -0.050 -0.050 -0.069
## 429 PE7 ~~ EE4 1 1 1 0.801 -0.030 -0.030 -0.039
## 1042 PE4 ~~ FC4 3 3 1 0.788 -0.042 -0.042 -0.074
## 1090 PE7 ~~ EE3 3 3 1 0.784 0.042 0.042 0.072
## 1158 SI3 ~~ EE1 3 3 1 0.783 0.036 0.036 0.085
## 1052 PE5 ~~ SI5 3 3 1 0.782 0.058 0.058 0.068
## 400 PE5 ~~ B1 1 1 1 0.776 -0.032 -0.032 -0.037
## 739 PE6 ~~ SI5 2 2 1 0.766 -0.039 -0.039 -0.070
## 369 PE4 ~~ SI3 1 1 1 0.766 -0.032 -0.032 -0.041
## 414 PE6 ~~ EE6 1 1 1 0.763 -0.025 -0.025 -0.040
## 1148 SI2 ~~ EE3 3 3 1 0.760 0.055 0.055 0.071
## 433 PE7 ~~ FC2 1 1 1 0.759 -0.022 -0.022 -0.038
## 489 SI2 ~~ EE6 1 1 1 0.757 -0.034 -0.034 -0.038
## 801 SI1 ~~ SI5 2 2 1 0.754 -0.052 -0.052 -0.080
## 698 PE4 ~~ SI1 2 2 1 0.752 0.031 0.031 0.075
## 818 SI2 ~~ EE4 2 2 1 0.747 0.069 0.069 0.065
## 933 SI =~ PE8 3 3 1 0.747 -0.055 -0.055 -0.046
## 699 PE4 ~~ SI2 2 2 1 0.739 0.045 0.045 0.066
## 1142 SI1 ~~ B1 3 3 1 0.737 -0.051 -0.051 -0.091
## 406 PE6 ~~ SI3 1 1 1 0.737 -0.023 -0.023 -0.044
## 995 PE2 ~~ EE3 3 3 1 0.733 0.032 0.032 0.072
## 917 PE =~ EE1 3 3 1 0.732 0.069 0.069 0.070
## 779 PE8 ~~ FC1 2 2 1 0.728 -0.055 -0.055 -0.066
## 372 PE4 ~~ EE1 1 1 1 0.725 -0.027 -0.027 -0.037
## 1023 PE3 ~~ B1 3 3 1 0.723 -0.041 -0.041 -0.069
## 876 EE3 ~~ EE5 2 2 1 0.711 -0.039 -0.039 -0.069
## 690 PE3 ~~ FC2 2 2 1 0.711 -0.039 -0.039 -0.067
## 1040 PE4 ~~ FC1 3 3 1 0.708 0.074 0.074 0.065
## 1103 PE8 ~~ SI5 3 3 1 0.706 0.043 0.043 0.069
## 509 SI4 ~~ EE3 1 1 1 0.706 0.026 0.026 0.035
## 948 EEFC =~ PE5 3 3 1 0.690 -0.078 -0.078 -0.069
## 926 SI =~ PE1 3 3 1 0.686 0.071 0.071 0.058
## 1117 PE9 ~~ SI4 3 3 1 0.672 0.045 0.045 0.065
## 820 SI2 ~~ EE6 2 2 1 0.671 -0.057 -0.057 -0.063
## 347 PE3 ~~ SI1 1 1 1 0.669 -0.024 -0.024 -0.043
## 519 SI5 ~~ EE3 1 1 1 0.658 0.032 0.032 0.034
## 1229 FC1 ~~ FC4 3 3 1 0.656 -0.068 -0.068 -0.067
## 745 PE6 ~~ EE6 2 2 1 0.654 0.032 0.032 0.066
## 819 SI2 ~~ EE5 2 2 1 0.650 0.052 0.052 0.062
## 1079 PE6 ~~ FC4 3 3 1 0.640 0.029 0.029 0.070
## 426 PE7 ~~ EE1 1 1 1 0.639 -0.019 -0.019 -0.036
## 886 EE4 ~~ FC4 2 2 1 0.635 0.048 0.048 0.064
## 1190 EE1 ~~ EE3 3 3 1 0.635 -0.032 -0.032 -0.070
## 1182 SI5 ~~ EE4 3 3 1 0.635 -0.063 -0.063 -0.061
## 959 PE1 ~~ PE3 3 3 1 0.624 0.034 0.034 0.064
## 766 PE7 ~~ B1 2 2 1 0.622 -0.038 -0.038 -0.061
## 866 EE1 ~~ B1 2 2 1 0.620 -0.037 -0.037 -0.063
## 760 PE7 ~~ EE4 2 2 1 0.615 -0.043 -0.043 -0.060
## 859 EE1 ~~ EE3 2 2 1 0.609 0.030 0.030 0.068
## 1199 EE2 ~~ EE4 3 3 1 0.607 -0.043 -0.043 -0.064
## 719 PE5 ~~ SI3 2 2 1 0.593 -0.032 -0.032 -0.072
## 1083 PE7 ~~ SI1 3 3 1 0.592 -0.038 -0.038 -0.076
## 643 PE1 ~~ EE4 2 2 1 0.586 0.051 0.051 0.057
## 728 PE5 ~~ FC1 2 2 1 0.578 0.051 0.051 0.058
## 721 PE5 ~~ SI5 2 2 1 0.577 0.043 0.043 0.057
## 1065 PE6 ~~ PE9 3 3 1 0.566 -0.026 -0.026 -0.068
## 511 SI4 ~~ EE5 1 1 1 0.561 -0.024 -0.024 -0.032
## 756 PE7 ~~ SI5 2 2 1 0.560 0.041 0.041 0.057
## 596 SI =~ PE2 2 2 1 0.556 -0.059 -0.059 -0.045
## 842 SI4 ~~ EE5 2 2 1 0.542 -0.038 -0.038 -0.057
## 1055 PE5 ~~ EE3 3 3 1 0.541 0.032 0.032 0.060
## 333 PE2 ~~ EE3 1 1 1 0.538 -0.022 -0.022 -0.032
## 326 PE2 ~~ SI1 1 1 1 0.528 -0.021 -0.021 -0.039
## 787 PE9 ~~ SI5 2 2 1 0.527 -0.039 -0.039 -0.056
## 422 PE7 ~~ SI2 1 1 1 0.525 0.023 0.023 0.032
## 1181 SI5 ~~ EE3 3 3 1 0.523 0.042 0.042 0.059
## 459 PE9 ~~ EE3 1 1 1 0.522 0.020 0.020 0.031
## 1223 EE5 ~~ B1 3 3 1 0.516 -0.051 -0.051 -0.057
## 1210 EE3 ~~ FC2 3 3 1 0.515 0.037 0.037 0.063
## 869 EE2 ~~ EE5 2 2 1 0.514 -0.031 -0.031 -0.061
## 465 PE9 ~~ FC4 1 1 1 0.505 0.021 0.021 0.032
## 432 PE7 ~~ FC1 1 1 1 0.504 0.017 0.017 0.030
## 478 SI1 ~~ FC2 1 1 1 0.502 -0.018 -0.018 -0.038
## 778 PE8 ~~ EE6 2 2 1 0.500 0.033 0.033 0.055
## 1169 SI4 ~~ EE1 3 3 1 0.494 -0.040 -0.040 -0.055
## 950 EEFC =~ PE7 3 3 1 0.489 -0.069 -0.069 -0.059
## 352 PE3 ~~ EE1 1 1 1 0.487 0.019 0.019 0.032
## 1173 SI4 ~~ EE5 3 3 1 0.485 -0.054 -0.054 -0.053
## 1094 PE7 ~~ FC1 3 3 1 0.484 0.065 0.065 0.053
## 1115 PE9 ~~ SI2 3 3 1 0.481 0.041 0.041 0.056
## 970 PE1 ~~ SI5 3 3 1 0.477 -0.049 -0.049 -0.053
## 823 SI2 ~~ FC4 2 2 1 0.472 0.040 0.040 0.055
## 595 SI =~ PE1 2 2 1 0.469 0.064 0.064 0.051
## 928 SI =~ PE3 3 3 1 0.456 0.043 0.043 0.041
## 795 PE9 ~~ FC2 2 2 1 0.455 -0.031 -0.031 -0.054
## 824 SI2 ~~ B1 2 2 1 0.454 0.047 0.047 0.051
## 1202 EE2 ~~ FC1 3 3 1 0.452 0.054 0.054 0.055
## 752 PE7 ~~ SI1 2 2 1 0.448 -0.025 -0.025 -0.059
## 526 SI5 ~~ B1 1 1 1 0.446 0.029 0.029 0.028
## 753 PE7 ~~ SI2 2 2 1 0.445 -0.036 -0.036 -0.052
## 1007 PE3 ~~ PE8 3 3 1 0.438 -0.021 -0.021 -0.059
## 634 PE1 ~~ PE9 2 2 1 0.437 -0.029 -0.029 -0.052
## 561 EE5 ~~ B1 1 1 1 0.431 0.021 0.021 0.029
## 657 PE2 ~~ SI1 2 2 1 0.429 0.025 0.025 0.058
## 946 EEFC =~ PE3 3 3 1 0.428 -0.048 -0.048 -0.047
## 737 PE6 ~~ SI3 2 2 1 0.427 -0.022 -0.022 -0.065
## 441 PE8 ~~ SI5 1 1 1 0.417 -0.022 -0.022 -0.029
## 444 PE8 ~~ EE3 1 1 1 0.415 0.015 0.015 0.029
## 686 PE3 ~~ EE4 2 2 1 0.414 -0.034 -0.034 -0.050
## 1009 PE3 ~~ SI1 3 3 1 0.414 0.023 0.023 0.066
## 1232 FC2 ~~ B1 3 3 1 0.411 -0.044 -0.044 -0.053
## 403 PE6 ~~ PE9 1 1 1 0.398 -0.017 -0.017 -0.031
## 691 PE3 ~~ FC4 2 2 1 0.398 -0.024 -0.024 -0.052
## 809 SI1 ~~ FC2 2 2 1 0.398 -0.030 -0.030 -0.055
## 1175 SI4 ~~ FC1 3 3 1 0.395 0.073 0.073 0.047
## 309 PE1 ~~ EE1 1 1 1 0.395 -0.017 -0.017 -0.028
## 678 PE3 ~~ SI1 2 2 1 0.389 0.023 0.023 0.056
## 936 SI =~ EE2 3 3 1 0.389 -0.041 -0.041 -0.038
## 1179 SI5 ~~ EE1 3 3 1 0.382 -0.035 -0.035 -0.049
## 702 PE4 ~~ SI5 2 2 1 0.381 0.033 0.033 0.047
## 1171 SI4 ~~ EE3 3 3 1 0.377 0.036 0.036 0.049
## 558 EE5 ~~ FC1 1 1 1 0.374 0.016 0.016 0.027
## 1076 PE6 ~~ EE6 3 3 1 0.372 0.026 0.026 0.050
## 804 SI1 ~~ EE3 2 2 1 0.372 0.023 0.023 0.054
## 889 EE5 ~~ FC1 2 2 1 0.369 0.048 0.048 0.047
## 744 PE6 ~~ EE5 2 2 1 0.369 0.022 0.022 0.050
## 331 PE2 ~~ EE1 1 1 1 0.367 0.017 0.017 0.028
## 734 PE6 ~~ PE9 2 2 1 0.367 0.019 0.019 0.053
## 379 PE4 ~~ FC2 1 1 1 0.363 0.020 0.020 0.026
## 1211 EE3 ~~ FC4 3 3 1 0.356 -0.027 -0.027 -0.056
## 723 PE5 ~~ EE2 2 2 1 0.356 0.021 0.021 0.048
## 416 PE6 ~~ FC2 1 1 1 0.355 -0.014 -0.014 -0.027
## 1047 PE5 ~~ PE9 3 3 1 0.354 -0.025 -0.025 -0.049
## 428 PE7 ~~ EE3 1 1 1 0.354 -0.015 -0.015 -0.026
## 413 PE6 ~~ EE5 1 1 1 0.353 0.015 0.015 0.027
## 1164 SI3 ~~ FC1 3 3 1 0.353 0.049 0.049 0.055
## 299 PE1 ~~ PE5 1 1 1 0.351 0.021 0.021 0.025
## 1166 SI3 ~~ FC4 3 3 1 0.334 -0.026 -0.026 -0.057
## 998 PE2 ~~ EE6 3 3 1 0.325 -0.027 -0.027 -0.045
## 828 SI3 ~~ EE2 2 2 1 0.324 -0.021 -0.021 -0.057
## 1019 PE3 ~~ EE6 3 3 1 0.324 -0.025 -0.025 -0.045
## 486 SI2 ~~ EE3 1 1 1 0.322 -0.019 -0.019 -0.024
## 485 SI2 ~~ EE2 1 1 1 0.321 -0.016 -0.016 -0.025
## 645 PE1 ~~ EE6 2 2 1 0.314 0.032 0.032 0.042
## 1163 SI3 ~~ EE6 3 3 1 0.312 0.029 0.029 0.052
## 692 PE3 ~~ B1 2 2 1 0.305 0.026 0.026 0.043
## 295 EEFC =~ SI5 1 1 1 0.305 0.031 0.031 0.022
## 878 EE3 ~~ FC1 2 2 1 0.298 -0.037 -0.037 -0.044
## 663 PE2 ~~ EE2 2 2 1 0.298 0.019 0.019 0.046
## 1160 SI3 ~~ EE3 3 3 1 0.297 -0.023 -0.023 -0.053
## 516 SI4 ~~ B1 1 1 1 0.296 0.019 0.019 0.023
## 685 PE3 ~~ EE3 2 2 1 0.281 0.019 0.019 0.043
## 1028 PE4 ~~ PE9 3 3 1 0.279 0.023 0.023 0.044
## 803 SI1 ~~ EE2 2 2 1 0.274 0.018 0.018 0.048
## 782 PE8 ~~ B1 2 2 1 0.271 0.025 0.025 0.041
## 850 SI5 ~~ EE3 2 2 1 0.265 0.028 0.028 0.040
## 466 PE9 ~~ B1 1 1 1 0.263 0.016 0.016 0.022
## 877 EE3 ~~ EE6 2 2 1 0.262 -0.025 -0.025 -0.041
## 472 SI1 ~~ EE2 1 1 1 0.260 0.011 0.011 0.028
## 376 PE4 ~~ EE5 1 1 1 0.259 -0.017 -0.017 -0.022
## 785 PE9 ~~ SI3 2 2 1 0.259 0.020 0.020 0.049
## 313 PE1 ~~ EE5 1 1 1 0.258 0.015 0.015 0.022
## 706 PE4 ~~ EE4 2 2 1 0.257 -0.027 -0.027 -0.038
## 327 PE2 ~~ SI2 1 1 1 0.256 -0.018 -0.018 -0.022
## 1152 SI2 ~~ FC1 3 3 1 0.254 0.063 0.063 0.038
## 430 PE7 ~~ EE5 1 1 1 0.250 0.013 0.013 0.022
## 1066 PE6 ~~ SI1 3 3 1 0.248 -0.018 -0.018 -0.052
## 1022 PE3 ~~ FC4 3 3 1 0.247 0.018 0.018 0.042
## 606 SI =~ EE3 2 2 1 0.245 -0.031 -0.031 -0.029
## 1146 SI2 ~~ EE1 3 3 1 0.243 -0.030 -0.030 -0.039
## 534 EE1 ~~ FC4 1 1 1 0.241 0.014 0.014 0.024
## 851 SI5 ~~ EE4 2 2 1 0.238 -0.040 -0.040 -0.036
## 304 PE1 ~~ SI1 1 1 1 0.237 -0.014 -0.014 -0.025
## 821 SI2 ~~ FC1 2 2 1 0.235 0.046 0.046 0.037
## 503 SI3 ~~ FC2 1 1 1 0.228 0.014 0.014 0.023
## 796 PE9 ~~ FC4 2 2 1 0.226 0.018 0.018 0.039
## 258 PE =~ EE4 1 1 1 0.224 -0.027 -0.027 -0.019
## 1154 SI2 ~~ FC4 3 3 1 0.224 0.032 0.032 0.039
## 605 SI =~ EE2 2 2 1 0.219 0.027 0.027 0.025
## 932 SI =~ PE7 3 3 1 0.218 -0.040 -0.040 -0.034
## 845 SI4 ~~ FC2 2 2 1 0.215 0.026 0.026 0.036
## 505 SI3 ~~ B1 1 1 1 0.215 0.017 0.017 0.024
## 1057 PE5 ~~ EE5 3 3 1 0.214 0.027 0.027 0.036
## 709 PE4 ~~ FC1 2 2 1 0.213 0.029 0.029 0.035
## 475 SI1 ~~ EE5 1 1 1 0.210 -0.012 -0.012 -0.024
## 252 PE =~ SI3 1 1 1 0.210 -0.023 -0.023 -0.016
## 783 PE9 ~~ SI1 2 2 1 0.210 0.017 0.017 0.041
## 418 PE6 ~~ B1 1 1 1 0.209 -0.013 -0.013 -0.021
## 1100 PE8 ~~ SI2 3 3 1 0.208 0.026 0.026 0.038
## 538 EE2 ~~ EE5 1 1 1 0.204 -0.011 -0.011 -0.021
## 1218 EE4 ~~ B1 3 3 1 0.202 -0.033 -0.033 -0.035
## 1224 EE6 ~~ FC1 3 3 1 0.196 0.044 0.044 0.034
## 656 PE2 ~~ PE9 2 2 1 0.194 0.017 0.017 0.037
## 621 EEFC =~ PE9 2 2 1 0.191 -0.028 -0.028 -0.023
## 965 PE1 ~~ PE9 3 3 1 0.190 -0.020 -0.020 -0.036
## 1035 PE4 ~~ EE2 3 3 1 0.189 -0.020 -0.020 -0.035
## 618 EEFC =~ PE6 2 2 1 0.187 0.024 0.024 0.020
## 1082 PE7 ~~ PE9 3 3 1 0.184 -0.019 -0.019 -0.035
## 1073 PE6 ~~ EE3 3 3 1 0.184 -0.015 -0.015 -0.037
## 1135 SI1 ~~ EE3 3 3 1 0.182 -0.017 -0.017 -0.044
## 794 PE9 ~~ FC1 2 2 1 0.180 0.027 0.027 0.033
## 1106 PE8 ~~ EE3 3 3 1 0.173 0.014 0.014 0.036
## 1046 PE5 ~~ PE8 3 3 1 0.172 -0.017 -0.017 -0.035
## 747 PE6 ~~ FC2 2 2 1 0.172 0.016 0.016 0.034
## 765 PE7 ~~ FC4 2 2 1 0.172 0.017 0.017 0.033
## 854 SI5 ~~ FC1 2 2 1 0.169 -0.040 -0.040 -0.031
## 437 PE8 ~~ SI1 1 1 1 0.169 0.010 0.010 0.023
## 855 SI5 ~~ FC2 2 2 1 0.166 0.029 0.029 0.031
## 743 PE6 ~~ EE4 2 2 1 0.164 0.018 0.018 0.032
## 844 SI4 ~~ FC1 2 2 1 0.161 0.030 0.030 0.031
## 325 PE2 ~~ PE9 1 1 1 0.160 -0.013 -0.013 -0.019
## 951 EEFC =~ PE8 3 3 1 0.156 -0.029 -0.029 -0.025
## 822 SI2 ~~ FC2 2 2 1 0.154 0.027 0.027 0.030
## 1136 SI1 ~~ EE4 3 3 1 0.153 0.022 0.022 0.038
## 758 PE7 ~~ EE2 2 2 1 0.153 0.013 0.013 0.032
## 648 PE1 ~~ FC4 2 2 1 0.151 -0.019 -0.019 -0.031
## 391 PE5 ~~ EE1 1 1 1 0.148 -0.012 -0.012 -0.017
## 1000 PE2 ~~ FC2 3 3 1 0.144 0.018 0.018 0.031
## 848 SI5 ~~ EE1 2 2 1 0.140 -0.020 -0.020 -0.029
## 548 EE3 ~~ FC2 1 1 1 0.138 0.010 0.010 0.016
## 961 PE1 ~~ PE5 3 3 1 0.138 -0.020 -0.020 -0.029
## 726 PE5 ~~ EE5 2 2 1 0.131 -0.017 -0.017 -0.028
## 454 PE9 ~~ SI3 1 1 1 0.129 -0.011 -0.011 -0.018
## 1178 SI4 ~~ B1 3 3 1 0.129 0.029 0.029 0.028
## 1027 PE4 ~~ PE8 3 3 1 0.129 0.015 0.015 0.031
## 826 SI3 ~~ SI5 2 2 1 0.127 0.024 0.024 0.037
## 396 PE5 ~~ EE6 1 1 1 0.123 -0.013 -0.013 -0.015
## 730 PE5 ~~ FC4 2 2 1 0.123 -0.014 -0.014 -0.028
## 1118 PE9 ~~ SI5 3 3 1 0.121 0.019 0.019 0.028
## 1196 EE1 ~~ FC4 3 3 1 0.112 -0.014 -0.014 -0.030
## 649 PE1 ~~ B1 2 2 1 0.111 0.019 0.019 0.025
## 1192 EE1 ~~ EE5 3 3 1 0.110 -0.017 -0.017 -0.027
## 740 PE6 ~~ EE1 2 2 1 0.109 0.010 0.010 0.028
## 567 FC1 ~~ FC4 1 1 1 0.108 -0.009 -0.009 -0.014
## 831 SI3 ~~ EE5 2 2 1 0.106 0.016 0.016 0.031
## 306 PE1 ~~ SI3 1 1 1 0.099 -0.010 -0.010 -0.015
## 736 PE6 ~~ SI2 2 2 1 0.098 -0.014 -0.014 -0.026
## 880 EE3 ~~ FC4 2 2 1 0.095 -0.013 -0.013 -0.027
## 701 PE4 ~~ SI4 2 2 1 0.093 0.013 0.013 0.024
## 434 PE7 ~~ FC4 1 1 1 0.091 -0.008 -0.008 -0.013
## 659 PE2 ~~ SI3 2 2 1 0.088 0.012 0.012 0.029
## 419 PE7 ~~ PE8 1 1 1 0.086 -0.007 -0.007 -0.014
## 626 EEFC =~ SI5 2 2 1 0.085 -0.027 -0.027 -0.022
## 405 PE6 ~~ SI2 1 1 1 0.085 -0.009 -0.009 -0.013
## 410 PE6 ~~ EE2 1 1 1 0.083 -0.006 -0.006 -0.014
## 751 PE7 ~~ PE9 2 2 1 0.080 0.011 0.011 0.023
## 373 PE4 ~~ EE2 1 1 1 0.079 0.008 0.008 0.012
## 990 PE2 ~~ SI3 3 3 1 0.077 0.011 0.011 0.027
## 793 PE9 ~~ EE6 2 2 1 0.077 -0.013 -0.013 -0.022
## 741 PE6 ~~ EE2 2 2 1 0.077 -0.008 -0.008 -0.024
## 892 EE5 ~~ B1 2 2 1 0.077 0.016 0.016 0.021
## 1089 PE7 ~~ EE2 3 3 1 0.075 0.013 0.013 0.022
## 774 PE8 ~~ EE2 2 2 1 0.071 0.009 0.009 0.022
## 655 PE2 ~~ PE8 2 2 1 0.071 0.010 0.010 0.022
## 798 SI1 ~~ SI2 2 2 1 0.069 0.016 0.016 0.026
## 937 SI =~ EE3 3 3 1 0.067 -0.017 -0.017 -0.015
## 1155 SI2 ~~ B1 3 3 1 0.065 -0.022 -0.022 -0.020
## 498 SI3 ~~ EE3 1 1 1 0.064 0.008 0.008 0.012
## 328 PE2 ~~ SI3 1 1 1 0.060 0.008 0.008 0.012
## 791 PE9 ~~ EE4 2 2 1 0.059 0.013 0.013 0.019
## 1112 PE8 ~~ FC4 3 3 1 0.058 0.009 0.009 0.021
## 515 SI4 ~~ FC4 1 1 1 0.058 0.008 0.008 0.010
## 966 PE1 ~~ SI1 3 3 1 0.058 -0.012 -0.012 -0.024
## 359 PE3 ~~ FC2 1 1 1 0.058 -0.007 -0.007 -0.011
## 729 PE5 ~~ FC2 2 2 1 0.057 0.012 0.012 0.019
## 1104 PE8 ~~ EE1 3 3 1 0.057 -0.008 -0.008 -0.020
## 317 PE1 ~~ FC4 1 1 1 0.055 0.007 0.007 0.010
## 773 PE8 ~~ EE1 2 2 1 0.054 0.008 0.008 0.019
## 919 PE =~ EE3 3 3 1 0.052 0.019 0.019 0.018
## 568 FC1 ~~ B1 1 1 1 0.050 -0.006 -0.006 -0.009
## 421 PE7 ~~ SI1 1 1 1 0.050 0.006 0.006 0.012
## 941 SI =~ FC1 3 3 1 0.050 0.028 0.028 0.017
## 619 EEFC =~ PE7 2 2 1 0.049 -0.015 -0.015 -0.012
## 727 PE5 ~~ EE6 2 2 1 0.049 -0.011 -0.011 -0.017
## 1170 SI4 ~~ EE2 3 3 1 0.048 0.013 0.013 0.017
## 827 SI3 ~~ EE1 2 2 1 0.047 0.008 0.008 0.021
## 646 PE1 ~~ FC1 2 2 1 0.047 0.017 0.017 0.016
## 931 SI =~ PE6 3 3 1 0.047 -0.014 -0.014 -0.012
## 1002 PE2 ~~ B1 3 3 1 0.046 -0.011 -0.011 -0.017
## 1167 SI3 ~~ B1 3 3 1 0.046 0.013 0.013 0.021
## 1165 SI3 ~~ FC2 3 3 1 0.045 0.011 0.011 0.020
## 480 SI1 ~~ B1 1 1 1 0.044 -0.007 -0.007 -0.012
## 587 PE =~ EE2 2 2 1 0.043 0.013 0.013 0.012
## 392 PE5 ~~ EE2 1 1 1 0.043 -0.006 -0.006 -0.009
## 762 PE7 ~~ EE6 2 2 1 0.041 -0.010 -0.010 -0.016
## 464 PE9 ~~ FC2 1 1 1 0.039 0.005 0.005 0.009
## 338 PE2 ~~ FC2 1 1 1 0.039 0.006 0.006 0.009
## 1017 PE3 ~~ EE4 3 3 1 0.038 -0.009 -0.009 -0.015
## 1134 SI1 ~~ EE2 3 3 1 0.038 0.008 0.008 0.020
## 1111 PE8 ~~ FC2 3 3 1 0.035 0.008 0.008 0.016
## 1138 SI1 ~~ EE6 3 3 1 0.035 0.010 0.010 0.019
## 607 SI =~ EE4 2 2 1 0.035 -0.017 -0.017 -0.014
## 749 PE6 ~~ B1 2 2 1 0.034 0.007 0.007 0.015
## 502 SI3 ~~ FC1 1 1 1 0.034 -0.005 -0.005 -0.009
## 614 EEFC =~ PE2 2 2 1 0.033 -0.012 -0.012 -0.009
## 1149 SI2 ~~ EE4 3 3 1 0.032 -0.015 -0.015 -0.014
## 1126 PE9 ~~ FC2 3 3 1 0.032 0.008 0.008 0.015
## 840 SI4 ~~ EE3 2 2 1 0.032 0.008 0.008 0.014
## 896 EE6 ~~ B1 2 2 1 0.031 0.011 0.011 0.013
## 476 SI1 ~~ EE6 1 1 1 0.029 -0.005 -0.005 -0.009
## 976 PE1 ~~ EE6 3 3 1 0.029 -0.010 -0.010 -0.013
## 585 PE =~ SI5 2 2 1 0.029 -0.019 -0.019 -0.015
## 1159 SI3 ~~ EE2 3 3 1 0.029 0.007 0.007 0.016
## 354 PE3 ~~ EE3 1 1 1 0.028 0.005 0.005 0.007
## 960 PE1 ~~ PE4 3 3 1 0.028 0.009 0.009 0.013
## 1209 EE3 ~~ FC1 3 3 1 0.027 0.013 0.013 0.014
## 1119 PE9 ~~ EE1 3 3 1 0.025 0.006 0.006 0.013
## 255 PE =~ EE1 1 1 1 0.021 0.006 0.006 0.005
## 671 PE2 ~~ B1 2 2 1 0.021 -0.007 -0.007 -0.011
## 1151 SI2 ~~ EE6 3 3 1 0.020 0.011 0.011 0.011
## 1230 FC1 ~~ B1 3 3 1 0.020 -0.015 -0.015 -0.011
## 700 PE4 ~~ SI3 2 2 1 0.020 -0.006 -0.006 -0.013
## 517 SI5 ~~ EE1 1 1 1 0.019 0.005 0.005 0.006
## 980 PE1 ~~ B1 3 3 1 0.018 -0.009 -0.009 -0.011
## 849 SI5 ~~ EE2 2 2 1 0.018 0.007 0.007 0.011
## 1101 PE8 ~~ SI3 3 3 1 0.016 0.005 0.005 0.013
## 412 PE6 ~~ EE4 1 1 1 0.016 0.004 0.004 0.006
## 1145 SI2 ~~ SI5 3 3 1 0.016 0.012 0.012 0.010
## 682 PE3 ~~ SI5 2 2 1 0.016 -0.007 -0.007 -0.010
## 329 PE2 ~~ SI4 1 1 1 0.016 0.004 0.004 0.005
## 1137 SI1 ~~ EE5 3 3 1 0.015 0.007 0.007 0.012
## 901 FC2 ~~ B1 2 2 1 0.015 0.008 0.008 0.010
## 808 SI1 ~~ FC1 2 2 1 0.015 -0.008 -0.008 -0.011
## 735 PE6 ~~ SI1 2 2 1 0.014 0.004 0.004 0.011
## 308 PE1 ~~ SI5 1 1 1 0.014 -0.005 -0.005 -0.005
## 1207 EE3 ~~ EE5 3 3 1 0.014 0.006 0.006 0.010
## 348 PE3 ~~ SI2 1 1 1 0.012 0.004 0.004 0.005
## 1123 PE9 ~~ EE5 3 3 1 0.012 -0.005 -0.005 -0.009
## 377 PE4 ~~ EE6 1 1 1 0.011 -0.004 -0.004 -0.004
## 930 SI =~ PE5 3 3 1 0.011 -0.008 -0.008 -0.007
## 839 SI4 ~~ EE2 2 2 1 0.011 -0.004 -0.004 -0.009
## 1050 PE5 ~~ SI3 3 3 1 0.011 0.005 0.005 0.010
## 680 PE3 ~~ SI3 2 2 1 0.011 -0.004 -0.004 -0.010
## 769 PE8 ~~ SI2 2 2 1 0.010 0.005 0.005 0.008
## 610 SI =~ FC1 2 2 1 0.009 -0.010 -0.010 -0.007
## 790 PE9 ~~ EE3 2 2 1 0.008 -0.003 -0.003 -0.007
## 633 PE1 ~~ PE8 2 2 1 0.008 -0.004 -0.004 -0.007
## 285 EEFC =~ PE4 1 1 1 0.008 -0.005 -0.005 -0.004
## 661 PE2 ~~ SI5 2 2 1 0.007 -0.005 -0.005 -0.007
## 1031 PE4 ~~ SI3 3 3 1 0.007 0.004 0.004 0.008
## 1162 SI3 ~~ EE5 3 3 1 0.007 -0.004 -0.004 -0.008
## 770 PE8 ~~ SI3 2 2 1 0.007 -0.003 -0.003 -0.008
## 641 PE1 ~~ EE2 2 2 1 0.006 0.003 0.003 0.006
## 1205 EE2 ~~ B1 3 3 1 0.006 0.004 0.004 0.007
## 1139 SI1 ~~ FC1 3 3 1 0.006 0.006 0.006 0.008
## 1038 PE4 ~~ EE5 3 3 1 0.006 -0.005 -0.005 -0.006
## 1129 SI1 ~~ SI2 3 3 1 0.006 -0.006 -0.006 -0.009
## 934 SI =~ PE9 3 3 1 0.005 -0.005 -0.005 -0.004
## 679 PE3 ~~ SI2 2 2 1 0.004 0.003 0.003 0.005
## 772 PE8 ~~ SI5 2 2 1 0.004 0.003 0.003 0.005
## 427 PE7 ~~ EE2 1 1 1 0.004 0.001 0.001 0.003
## 635 PE1 ~~ SI1 2 2 1 0.003 0.002 0.002 0.005
## 445 PE8 ~~ EE4 1 1 1 0.003 -0.002 -0.002 -0.002
## 358 PE3 ~~ FC1 1 1 1 0.002 -0.001 -0.001 -0.002
## 1220 EE5 ~~ FC1 3 3 1 0.002 -0.005 -0.005 -0.004
## 1013 PE3 ~~ SI5 3 3 1 0.002 -0.002 -0.002 -0.003
## 805 SI1 ~~ EE4 2 2 1 0.002 0.002 0.002 0.003
## 499 SI3 ~~ EE4 1 1 1 0.002 0.002 0.002 0.002
## 1036 PE4 ~~ EE3 3 3 1 0.001 -0.002 -0.002 -0.003
## 1092 PE7 ~~ EE5 3 3 1 0.001 -0.002 -0.002 -0.003
## 1033 PE4 ~~ SI5 3 3 1 0.001 0.002 0.002 0.003
## 1161 SI3 ~~ EE4 3 3 1 0.001 0.002 0.002 0.003
## 864 EE1 ~~ FC2 2 2 1 0.001 0.002 0.002 0.003
## 761 PE7 ~~ EE5 2 2 1 0.001 0.001 0.001 0.002
## 455 PE9 ~~ SI4 1 1 1 0.001 0.001 0.001 0.001
## 589 PE =~ EE4 2 2 1 0.001 -0.002 -0.002 -0.002
## 830 SI3 ~~ EE4 2 2 1 0.001 -0.001 -0.001 -0.002
## 523 SI5 ~~ FC1 1 1 1 0.000 0.001 0.001 0.001
## 1122 PE9 ~~ EE4 3 3 1 0.000 0.001 0.001 0.001
## 684 PE3 ~~ EE2 2 2 1 0.000 -0.001 -0.001 -0.001
## 1113 PE8 ~~ B1 3 3 1 0.000 -0.001 -0.001 -0.001
## 710 PE4 ~~ FC2 2 2 1 0.000 -0.001 -0.001 -0.001
## 943 SI =~ FC4 3 3 1 0.000 0.001 0.001 0.001
## 1208 EE3 ~~ EE6 3 3 1 0.000 0.000 0.000 0.001
## 385 PE5 ~~ PE9 1 1 1 0.000 0.000 0.000 0.000
## 1128 PE9 ~~ B1 3 3 1 0.000 0.000 0.000 0.000
## 971 PE1 ~~ EE1 3 3 1 0.000 0.000 0.000 0.000
## 955 EEFC =~ SI3 3 3 1 0.000 0.000 0.000 0.000
## 865 EE1 ~~ FC4 2 2 1 0.000 0.000 0.000 0.000
## sepc.nox
## 557 0.776
## 362 0.650
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## 263 0.384
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## 282 0.262
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## 658 -0.117
## 724 0.117
## 733 0.130
## 562 0.063
## 1180 -0.118
## 508 0.063
## 997 -0.116
## 597 -0.087
## 447 -0.067
## 1077 -0.117
## 588 0.089
## 992 -0.115
## 832 0.135
## 639 -0.108
## 274 -0.045
## 893 0.110
## 1184 -0.111
## 715 -0.115
## 479 -0.076
## 816 0.116
## 666 -0.113
## 1060 0.113
## 947 -0.113
## 637 -0.131
## 288 0.051
## 1054 0.114
## 582 0.121
## 368 0.059
## 1193 -0.114
## 342 -0.060
## 887 0.104
## 461 -0.062
## 477 0.071
## 1049 0.107
## 1043 0.110
## 712 -0.106
## 1062 0.109
## 856 0.108
## 1025 -0.117
## 360 0.060
## 374 0.057
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## 1075 -0.112
## 1108 0.113
## 792 -0.107
## 1087 0.104
## 923 -0.132
## 704 0.110
## 815 -0.107
## 423 -0.066
## 367 0.069
## 689 -0.104
## 664 0.109
## 1200 0.111
## 938 -0.100
## 838 0.105
## 837 0.100
## 1070 0.105
## 332 0.059
## 927 0.078
## 707 -0.099
## 493 -0.055
## 688 -0.100
## 939 -0.091
## 825 -0.144
## 312 0.054
## 853 -0.095
## 409 0.060
## 802 0.113
## 836 -0.126
## 630 0.096
## 1114 0.130
## 996 0.099
## 501 0.061
## 1068 0.123
## 717 0.107
## 1064 0.117
## 514 0.052
## 875 -0.097
## 474 0.064
## 271 -0.035
## 797 0.095
## 668 -0.095
## 949 -0.079
## 660 -0.096
## 1039 -0.094
## 340 -0.053
## 453 -0.053
## 395 -0.051
## 438 -0.055
## 272 -0.039
## 814 -0.091
## 1037 -0.092
## 1001 0.101
## 1185 -0.090
## 817 0.093
## 767 0.097
## 1172 -0.089
## 1186 0.092
## 755 0.091
## 512 -0.049
## 725 -0.088
## 813 0.092
## 616 -0.068
## 417 0.053
## 298 0.048
## 442 -0.056
## 1097 0.091
## 1124 -0.093
## 636 0.086
## 775 -0.092
## 1201 -0.094
## 841 -0.085
## 711 -0.090
## 581 -0.082
## 386 0.057
## 448 -0.050
## 738 -0.091
## 1081 0.094
## 343 0.053
## 310 -0.048
## 894 -0.087
## 872 -0.095
## 676 -0.091
## 1227 0.086
## 593 -0.071
## 381 0.045
## 1021 -0.089
## 1176 -0.085
## 968 -0.101
## 958 0.087
## 1109 0.089
## 397 0.044
## 1010 -0.084
## 398 0.045
## 999 -0.083
## 708 -0.080
## 460 -0.046
## 611 0.065
## 993 0.085
## 1071 0.087
## 987 -0.089
## 345 0.050
## 375 -0.043
## 446 -0.048
## 603 0.063
## 1147 0.082
## 881 -0.081
## 471 -0.056
## 994 0.084
## 1133 0.104
## 720 0.077
## 473 0.052
## 914 -0.062
## 786 0.078
## 670 -0.081
## 759 -0.079
## 1078 0.083
## 929 -0.067
## 667 -0.077
## 415 -0.043
## 628 -0.078
## 952 -0.066
## 366 -0.042
## 843 -0.075
## 677 0.081
## 863 -0.078
## 490 0.041
## 979 -0.080
## 449 0.045
## 1121 -0.082
## 1063 -0.080
## 1217 -0.080
## 1191 0.076
## 784 -0.075
## 1011 0.090
## 1194 -0.075
## 732 -0.081
## 1008 -0.081
## 355 -0.040
## 806 -0.081
## 404 -0.052
## 256 -0.033
## 771 0.073
## 1140 0.094
## 871 0.076
## 1099 -0.097
## 273 -0.028
## 1102 -0.074
## 1058 -0.070
## 283 -0.031
## 1096 0.074
## 731 -0.069
## 290 0.031
## 879 -0.075
## 665 -0.069
## 429 -0.039
## 1042 -0.074
## 1090 0.072
## 1158 0.085
## 1052 0.068
## 400 -0.037
## 739 -0.070
## 369 -0.041
## 414 -0.040
## 1148 0.071
## 433 -0.038
## 489 -0.038
## 801 -0.080
## 698 0.075
## 818 0.065
## 933 -0.046
## 699 0.066
## 1142 -0.091
## 406 -0.044
## 995 0.072
## 917 0.070
## 779 -0.066
## 372 -0.037
## 1023 -0.069
## 876 -0.069
## 690 -0.067
## 1040 0.065
## 1103 0.069
## 509 0.035
## 948 -0.069
## 926 0.058
## 1117 0.065
## 820 -0.063
## 347 -0.043
## 519 0.034
## 1229 -0.067
## 745 0.066
## 819 0.062
## 1079 0.070
## 426 -0.036
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## 1190 -0.070
## 1182 -0.061
## 959 0.064
## 766 -0.061
## 866 -0.063
## 760 -0.060
## 859 0.068
## 1199 -0.064
## 719 -0.072
## 1083 -0.076
## 643 0.057
## 728 0.058
## 721 0.057
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## 511 -0.032
## 756 0.057
## 596 -0.045
## 842 -0.057
## 1055 0.060
## 333 -0.032
## 326 -0.039
## 787 -0.056
## 422 0.032
## 1181 0.059
## 459 0.031
## 1223 -0.057
## 1210 0.063
## 869 -0.061
## 465 0.032
## 432 0.030
## 478 -0.038
## 778 0.055
## 1169 -0.055
## 950 -0.059
## 352 0.032
## 1173 -0.053
## 1094 0.053
## 1115 0.056
## 970 -0.053
## 823 0.055
## 595 0.051
## 928 0.041
## 795 -0.054
## 824 0.051
## 1202 0.055
## 752 -0.059
## 526 0.028
## 753 -0.052
## 1007 -0.059
## 634 -0.052
## 561 0.029
## 657 0.058
## 946 -0.047
## 737 -0.065
## 441 -0.029
## 444 0.029
## 686 -0.050
## 1009 0.066
## 1232 -0.053
## 403 -0.031
## 691 -0.052
## 809 -0.055
## 1175 0.047
## 309 -0.028
## 678 0.056
## 936 -0.038
## 1179 -0.049
## 702 0.047
## 1171 0.049
## 558 0.027
## 1076 0.050
## 804 0.054
## 889 0.047
## 744 0.050
## 331 0.028
## 734 0.053
## 379 0.026
## 1211 -0.056
## 723 0.048
## 416 -0.027
## 1047 -0.049
## 428 -0.026
## 413 0.027
## 1164 0.055
## 299 0.025
## 1166 -0.057
## 998 -0.045
## 828 -0.057
## 1019 -0.045
## 486 -0.024
## 485 -0.025
## 645 0.042
## 1163 0.052
## 692 0.043
## 295 0.022
## 878 -0.044
## 663 0.046
## 1160 -0.053
## 516 0.023
## 685 0.043
## 1028 0.044
## 803 0.048
## 782 0.041
## 850 0.040
## 466 0.022
## 877 -0.041
## 472 0.028
## 376 -0.022
## 785 0.049
## 313 0.022
## 706 -0.038
## 327 -0.022
## 1152 0.038
## 430 0.022
## 1066 -0.052
## 1022 0.042
## 606 -0.029
## 1146 -0.039
## 534 0.024
## 851 -0.036
## 304 -0.025
## 821 0.037
## 503 0.023
## 796 0.039
## 258 -0.019
## 1154 0.039
## 605 0.025
## 932 -0.034
## 845 0.036
## 505 0.024
## 1057 0.036
## 709 0.035
## 475 -0.024
## 252 -0.016
## 783 0.041
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## 538 -0.021
## 1218 -0.035
## 1224 0.034
## 656 0.037
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## 1035 -0.035
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## 1135 -0.044
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## 1106 0.036
## 1046 -0.035
## 747 0.034
## 765 0.033
## 854 -0.031
## 437 0.023
## 855 0.031
## 743 0.032
## 844 0.031
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## 951 -0.025
## 822 0.030
## 1136 0.038
## 758 0.032
## 648 -0.031
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## 1000 0.031
## 848 -0.029
## 548 0.016
## 961 -0.029
## 726 -0.028
## 454 -0.018
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## 826 0.037
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## 730 -0.028
## 1118 0.028
## 1196 -0.030
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## 831 0.031
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## 880 -0.027
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## 410 -0.014
## 751 0.023
## 373 0.012
## 990 0.027
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## 741 -0.024
## 892 0.021
## 1089 0.022
## 774 0.022
## 655 0.022
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## 937 -0.015
## 1155 -0.020
## 498 0.012
## 328 0.012
## 791 0.019
## 1112 0.021
## 515 0.010
## 966 -0.024
## 359 -0.011
## 729 0.019
## 1104 -0.020
## 317 0.010
## 773 0.019
## 919 0.018
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## 941 0.017
## 619 -0.012
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## 1170 0.017
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## 1002 -0.017
## 1167 0.021
## 1165 0.020
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## 587 0.012
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## 762 -0.016
## 464 0.009
## 338 0.009
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## 1134 0.020
## 1111 0.016
## 1138 0.019
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## 749 0.015
## 502 -0.009
## 614 -0.009
## 1149 -0.014
## 1126 0.015
## 840 0.014
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## 976 -0.013
## 585 -0.015
## 1159 0.016
## 354 0.007
## 960 0.013
## 1209 0.014
## 1119 0.013
## 255 0.005
## 671 -0.011
## 1151 0.011
## 1230 -0.011
## 700 -0.013
## 517 0.006
## 980 -0.011
## 849 0.011
## 1101 0.013
## 412 0.006
## 1145 0.010
## 682 -0.010
## 329 0.005
## 1137 0.012
## 901 0.010
## 808 -0.011
## 735 0.011
## 308 -0.005
## 1207 0.010
## 348 0.005
## 1123 -0.009
## 377 -0.004
## 930 -0.007
## 839 -0.009
## 1050 0.010
## 680 -0.010
## 769 0.008
## 610 -0.007
## 790 -0.007
## 633 -0.007
## 285 -0.004
## 661 -0.007
## 1031 0.008
## 1162 -0.008
## 770 -0.008
## 641 0.006
## 1205 0.007
## 1139 0.008
## 1038 -0.006
## 1129 -0.009
## 934 -0.004
## 679 0.005
## 772 0.005
## 427 0.003
## 635 0.005
## 445 -0.002
## 358 -0.002
## 1220 -0.004
## 1013 -0.003
## 805 0.003
## 499 0.002
## 1036 -0.003
## 1092 -0.003
## 1033 0.003
## 1161 0.003
## 864 0.003
## 761 0.002
## 455 0.001
## 589 -0.002
## 830 -0.002
## 523 0.001
## 1122 0.001
## 684 -0.001
## 1113 -0.001
## 710 -0.001
## 943 0.001
## 1208 0.001
## 385 0.000
## 1128 0.000
## 971 0.000
## 955 0.000
## 865 0.000#compare new and old models
anova(overalldropFC3collapse, fitoverall)## Scaled Chi Square Difference Test (method = "satorra.bentler.2001")
##
## Df AIC BIC Chisq Chisq diff Df diff
## fitoverall 729 65783 66980 3678.2
## overalldropFC3collapse 741 66073 67210 3992.0 224.33 12
## Pr(>Chisq)
## fitoverall
## overalldropFC3collapse < 2.2e-16 ***
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1overallmod23fac <- 'PE =~ PE1 + PE2 + PE3 + PE4 + PE5 + PE6 + PE7 + PE8 + PE9
SI =~ SI1 + SI2 + SI3 + SI4 + SI5
EEFC =~ FC1 + FC2 + FC4 + EE1 + EE2 + EE3 + EE4 + EE5 + EE6
B1 ~ PE + SI + EEFC
EE5 ~~ EE6
EE5 ~~ EE4
EE6 ~~ EE4
PE4 ~~ PE5
'
#fit the model
overallmod23fac <- cfa(model = overallmod23fac, data = likertscollapsed,
std.lv = TRUE, meanstructure = TRUE, estimator = "MLM", group = "STROBEFamiliarity")
#display the summary output
summary(overallmod23fac, fit.measures = T, standardized = T, rsq = T)## lavaan 0.6-3 ended normally after 55 iterations
##
## Optimization method NLMINB
## Number of free parameters 243
##
## Number of observations per group
## 3 635
## 1 195
## 2 185
##
## Estimator ML Robust
## Model Fit Test Statistic 2640.818 2151.713
## Degrees of freedom 729 729
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.227
## for the Satorra-Bentler correction
##
## Chi-square for each group:
##
## 3 1388.912 1131.672
## 1 601.122 489.789
## 2 650.784 530.252
##
## Model test baseline model:
##
## Minimum Function Test Statistic 17527.768 12160.318
## Degrees of freedom 828 828
## P-value 0.000 0.000
##
## User model versus baseline model:
##
## Comparative Fit Index (CFI) 0.886 0.874
## Tucker-Lewis Index (TLI) 0.870 0.857
##
## Robust Comparative Fit Index (CFI) 0.893
## Robust Tucker-Lewis Index (TLI) 0.879
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -32129.994 -32129.994
## Loglikelihood unrestricted model (H1) -30809.585 -30809.585
##
## Number of free parameters 243 243
## Akaike (AIC) 64745.988 64745.988
## Bayesian (BIC) 65942.191 65942.191
## Sample-size adjusted Bayesian (BIC) 65170.402 65170.402
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.088 0.076
## 90 Percent Confidence Interval 0.084 0.092 0.073 0.079
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.084
## 90 Percent Confidence Interval 0.080 0.088
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.076 0.076
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Structured
## Standard Errors Robust.sem
##
##
## Group 1 [3]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.786 0.058 13.432 0.000 0.786 0.665
## PE2 1.185 0.041 28.939 0.000 1.185 0.818
## PE3 1.040 0.044 23.641 0.000 1.040 0.774
## PE4 0.612 0.055 11.093 0.000 0.612 0.512
## PE5 0.661 0.053 12.382 0.000 0.661 0.554
## PE6 1.138 0.044 26.134 0.000 1.138 0.864
## PE7 0.908 0.056 16.362 0.000 0.908 0.768
## PE8 1.147 0.044 26.325 0.000 1.147 0.869
## PE9 1.068 0.047 22.949 0.000 1.068 0.804
## SI =~
## SI1 1.127 0.044 25.421 0.000 1.127 0.871
## SI2 0.810 0.054 15.091 0.000 0.810 0.637
## SI3 1.169 0.050 23.477 0.000 1.169 0.832
## SI4 0.491 0.051 9.553 0.000 0.491 0.472
## SI5 0.760 0.060 12.771 0.000 0.760 0.548
## EEFC =~
## FC1 0.517 0.047 10.957 0.000 0.517 0.562
## FC2 0.865 0.050 17.175 0.000 0.865 0.758
## FC4 0.963 0.045 21.445 0.000 0.963 0.773
## EE1 1.043 0.048 21.852 0.000 1.043 0.840
## EE2 0.863 0.047 18.416 0.000 0.863 0.814
## EE3 0.749 0.049 15.330 0.000 0.749 0.693
## EE4 0.887 0.051 17.421 0.000 0.887 0.616
## EE5 0.810 0.053 15.304 0.000 0.810 0.664
## EE6 0.816 0.054 15.010 0.000 0.816 0.618
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.525 0.071 7.440 0.000 0.525 0.399
## SI 0.312 0.052 5.991 0.000 0.312 0.238
## EEFC 0.296 0.068 4.343 0.000 0.296 0.225
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EE5 ~~
## .EE6 0.652 0.104 6.266 0.000 0.652 0.688
## .EE4 ~~
## .EE5 0.433 0.090 4.802 0.000 0.433 0.419
## .EE6 0.549 0.095 5.762 0.000 0.549 0.466
## .PE4 ~~
## .PE5 0.638 0.068 9.311 0.000 0.638 0.626
## PE ~~
## SI 0.497 0.038 12.933 0.000 0.497 0.497
## EEFC 0.628 0.032 19.745 0.000 0.628 0.628
## SI ~~
## EEFC 0.428 0.040 10.578 0.000 0.428 0.428
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 5.636 0.047 120.173 0.000 5.636 4.769
## .PE2 4.430 0.057 77.086 0.000 4.430 3.059
## .PE3 4.113 0.053 77.163 0.000 4.113 3.062
## .PE4 5.302 0.047 111.864 0.000 5.302 4.439
## .PE5 5.117 0.047 108.097 0.000 5.117 4.290
## .PE6 4.806 0.052 91.972 0.000 4.806 3.650
## .PE7 5.576 0.047 118.758 0.000 5.576 4.713
## .PE8 4.789 0.052 91.452 0.000 4.789 3.629
## .PE9 4.631 0.053 87.888 0.000 4.631 3.488
## .SI1 4.613 0.051 89.849 0.000 4.613 3.566
## .SI2 5.112 0.050 101.385 0.000 5.112 4.023
## .SI3 4.452 0.056 79.855 0.000 4.452 3.169
## .SI4 5.625 0.041 136.300 0.000 5.625 5.409
## .SI5 4.476 0.055 81.287 0.000 4.476 3.226
## .FC1 5.890 0.037 161.200 0.000 5.890 6.397
## .FC2 5.469 0.045 120.830 0.000 5.469 4.795
## .FC4 5.164 0.049 104.479 0.000 5.164 4.146
## .EE1 5.213 0.049 105.826 0.000 5.213 4.200
## .EE2 5.504 0.042 130.913 0.000 5.504 5.195
## .EE3 5.351 0.043 124.855 0.000 5.351 4.955
## .EE4 4.699 0.057 82.271 0.000 4.699 3.265
## .EE5 5.506 0.048 113.741 0.000 5.506 4.514
## .EE6 5.394 0.052 102.914 0.000 5.394 4.084
## .B1 5.535 0.052 106.080 0.000 5.535 4.210
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.780 0.080 9.755 0.000 0.780 0.558
## .PE2 0.693 0.051 13.663 0.000 0.693 0.331
## .PE3 0.722 0.057 12.714 0.000 0.722 0.400
## .PE4 1.052 0.080 13.091 0.000 1.052 0.738
## .PE5 0.986 0.071 13.926 0.000 0.986 0.693
## .PE6 0.440 0.035 12.588 0.000 0.440 0.254
## .PE7 0.575 0.040 14.503 0.000 0.575 0.411
## .PE8 0.425 0.035 12.171 0.000 0.425 0.244
## .PE9 0.623 0.054 11.537 0.000 0.623 0.354
## .SI1 0.404 0.046 8.693 0.000 0.404 0.241
## .SI2 0.959 0.079 12.166 0.000 0.959 0.594
## .SI3 0.606 0.080 7.590 0.000 0.606 0.307
## .SI4 0.841 0.072 11.712 0.000 0.841 0.777
## .SI5 1.347 0.097 13.959 0.000 1.347 0.700
## .FC1 0.580 0.047 12.230 0.000 0.580 0.685
## .FC2 0.553 0.066 8.435 0.000 0.553 0.425
## .FC4 0.623 0.058 10.755 0.000 0.623 0.402
## .EE1 0.453 0.040 11.305 0.000 0.453 0.294
## .EE2 0.378 0.036 10.400 0.000 0.378 0.337
## .EE3 0.606 0.048 12.640 0.000 0.606 0.520
## .EE4 1.284 0.096 13.393 0.000 1.284 0.620
## .EE5 0.832 0.103 8.057 0.000 0.832 0.559
## .EE6 1.079 0.113 9.524 0.000 1.079 0.618
## .B1 0.831 0.059 14.167 0.000 0.831 0.481
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.442
## PE2 0.669
## PE3 0.600
## PE4 0.262
## PE5 0.307
## PE6 0.746
## PE7 0.589
## PE8 0.756
## PE9 0.646
## SI1 0.759
## SI2 0.406
## SI3 0.693
## SI4 0.223
## SI5 0.300
## FC1 0.315
## FC2 0.575
## FC4 0.598
## EE1 0.706
## EE2 0.663
## EE3 0.480
## EE4 0.380
## EE5 0.441
## EE6 0.382
## B1 0.519
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.912 0.094 9.715 0.000 0.912 0.728
## PE2 1.151 0.078 14.764 0.000 1.151 0.867
## PE3 1.089 0.073 14.994 0.000 1.089 0.864
## PE4 0.847 0.079 10.668 0.000 0.847 0.766
## PE5 0.831 0.088 9.436 0.000 0.831 0.737
## PE6 1.090 0.072 15.189 0.000 1.090 0.904
## PE7 0.971 0.084 11.582 0.000 0.971 0.805
## PE8 1.062 0.081 13.060 0.000 1.062 0.849
## PE9 1.051 0.082 12.828 0.000 1.051 0.850
## SI =~
## SI1 1.001 0.075 13.330 0.000 1.001 0.849
## SI2 0.800 0.095 8.404 0.000 0.800 0.621
## SI3 1.175 0.072 16.353 0.000 1.175 0.886
## SI4 0.682 0.081 8.431 0.000 0.682 0.648
## SI5 0.652 0.092 7.113 0.000 0.652 0.531
## EEFC =~
## FC1 0.915 0.099 9.255 0.000 0.915 0.593
## FC2 0.963 0.084 11.451 0.000 0.963 0.742
## FC4 0.962 0.069 13.944 0.000 0.962 0.807
## EE1 0.882 0.067 13.211 0.000 0.882 0.824
## EE2 0.904 0.065 13.901 0.000 0.904 0.841
## EE3 0.852 0.071 11.999 0.000 0.852 0.783
## EE4 0.560 0.104 5.376 0.000 0.560 0.452
## EE5 0.738 0.085 8.629 0.000 0.738 0.627
## EE6 0.693 0.091 7.610 0.000 0.693 0.576
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.485 0.120 4.049 0.000 0.485 0.356
## SI 0.183 0.097 1.893 0.058 0.183 0.134
## EEFC 0.506 0.113 4.475 0.000 0.506 0.372
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EE5 ~~
## .EE6 0.690 0.124 5.571 0.000 0.690 0.765
## .EE4 ~~
## .EE5 0.513 0.120 4.266 0.000 0.513 0.506
## .EE6 0.517 0.115 4.488 0.000 0.517 0.475
## .PE4 ~~
## .PE5 0.375 0.065 5.782 0.000 0.375 0.693
## PE ~~
## SI 0.653 0.055 11.865 0.000 0.653 0.653
## EEFC 0.582 0.063 9.223 0.000 0.582 0.582
## SI ~~
## EEFC 0.467 0.067 6.986 0.000 0.467 0.467
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 5.205 0.090 58.043 0.000 5.205 4.157
## .PE2 4.626 0.095 48.656 0.000 4.626 3.484
## .PE3 4.374 0.090 48.473 0.000 4.374 3.471
## .PE4 4.974 0.079 62.761 0.000 4.974 4.494
## .PE5 4.887 0.081 60.574 0.000 4.887 4.338
## .PE6 4.738 0.086 54.862 0.000 4.738 3.929
## .PE7 5.103 0.086 59.048 0.000 5.103 4.228
## .PE8 4.815 0.090 53.736 0.000 4.815 3.848
## .PE9 4.651 0.089 52.516 0.000 4.651 3.761
## .SI1 4.015 0.084 47.568 0.000 4.015 3.406
## .SI2 4.692 0.092 50.870 0.000 4.692 3.643
## .SI3 3.867 0.095 40.740 0.000 3.867 2.917
## .SI4 4.990 0.075 66.207 0.000 4.990 4.741
## .SI5 3.908 0.088 44.415 0.000 3.908 3.181
## .FC1 4.518 0.111 40.869 0.000 4.518 2.927
## .FC2 4.728 0.093 50.863 0.000 4.728 3.642
## .FC4 4.785 0.085 56.063 0.000 4.785 4.015
## .EE1 4.800 0.077 62.651 0.000 4.800 4.487
## .EE2 5.185 0.077 67.347 0.000 5.185 4.823
## .EE3 4.985 0.078 63.959 0.000 4.985 4.580
## .EE4 4.200 0.089 47.348 0.000 4.200 3.391
## .EE5 4.933 0.084 58.531 0.000 4.933 4.192
## .EE6 4.708 0.086 54.633 0.000 4.708 3.912
## .B1 4.662 0.098 47.798 0.000 4.662 3.423
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.736 0.156 4.721 0.000 0.736 0.469
## .PE2 0.438 0.074 5.933 0.000 0.438 0.248
## .PE3 0.402 0.052 7.787 0.000 0.402 0.253
## .PE4 0.507 0.066 7.695 0.000 0.507 0.414
## .PE5 0.580 0.073 7.917 0.000 0.580 0.457
## .PE6 0.267 0.041 6.491 0.000 0.267 0.184
## .PE7 0.513 0.079 6.528 0.000 0.513 0.352
## .PE8 0.437 0.079 5.532 0.000 0.437 0.279
## .PE9 0.425 0.055 7.713 0.000 0.425 0.278
## .SI1 0.387 0.054 7.158 0.000 0.387 0.279
## .SI2 1.019 0.118 8.598 0.000 1.019 0.614
## .SI3 0.376 0.072 5.226 0.000 0.376 0.214
## .SI4 0.642 0.072 8.951 0.000 0.642 0.580
## .SI5 1.084 0.135 8.016 0.000 1.084 0.718
## .FC1 1.546 0.156 9.934 0.000 1.546 0.649
## .FC2 0.758 0.115 6.608 0.000 0.758 0.450
## .FC4 0.495 0.070 7.030 0.000 0.495 0.349
## .EE1 0.367 0.048 7.603 0.000 0.367 0.321
## .EE2 0.338 0.047 7.152 0.000 0.338 0.292
## .EE3 0.458 0.056 8.108 0.000 0.458 0.386
## .EE4 1.221 0.136 8.991 0.000 1.221 0.796
## .EE5 0.841 0.133 6.321 0.000 0.841 0.607
## .EE6 0.968 0.127 7.598 0.000 0.968 0.669
## .B1 0.842 0.086 9.769 0.000 0.842 0.454
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.531
## PE2 0.752
## PE3 0.747
## PE4 0.586
## PE5 0.543
## PE6 0.816
## PE7 0.648
## PE8 0.721
## PE9 0.722
## SI1 0.721
## SI2 0.386
## SI3 0.786
## SI4 0.420
## SI5 0.282
## FC1 0.351
## FC2 0.550
## FC4 0.651
## EE1 0.679
## EE2 0.708
## EE3 0.614
## EE4 0.204
## EE5 0.393
## EE6 0.331
## B1 0.546
##
##
## Group 3 [2]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## PE =~
## PE1 0.876 0.096 9.127 0.000 0.876 0.712
## PE2 0.924 0.078 11.811 0.000 0.924 0.821
## PE3 0.847 0.071 11.940 0.000 0.847 0.818
## PE4 0.820 0.092 8.872 0.000 0.820 0.699
## PE5 0.759 0.093 8.196 0.000 0.759 0.670
## PE6 0.977 0.076 12.827 0.000 0.977 0.860
## PE7 0.793 0.097 8.154 0.000 0.793 0.674
## PE8 1.031 0.076 13.561 0.000 1.031 0.867
## PE9 0.959 0.072 13.399 0.000 0.959 0.830
## SI =~
## SI1 1.242 0.073 16.946 0.000 1.242 0.908
## SI2 0.787 0.103 7.655 0.000 0.787 0.561
## SI3 1.230 0.084 14.713 0.000 1.230 0.890
## SI4 0.566 0.095 5.990 0.000 0.566 0.462
## SI5 0.703 0.091 7.703 0.000 0.703 0.554
## EEFC =~
## FC1 0.830 0.109 7.645 0.000 0.830 0.506
## FC2 0.940 0.080 11.759 0.000 0.940 0.750
## FC4 0.979 0.073 13.406 0.000 0.979 0.828
## EE1 0.716 0.075 9.498 0.000 0.716 0.728
## EE2 0.818 0.073 11.191 0.000 0.818 0.755
## EE3 0.841 0.070 12.044 0.000 0.841 0.778
## EE4 0.506 0.109 4.645 0.000 0.506 0.444
## EE5 0.619 0.100 6.197 0.000 0.619 0.529
## EE6 0.592 0.101 5.880 0.000 0.592 0.526
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## B1 ~
## PE 0.482 0.135 3.555 0.000 0.482 0.318
## SI 0.102 0.103 0.992 0.321 0.102 0.068
## EEFC 0.711 0.135 5.285 0.000 0.711 0.470
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EE5 ~~
## .EE6 0.630 0.132 4.764 0.000 0.630 0.663
## .EE4 ~~
## .EE5 0.467 0.120 3.906 0.000 0.467 0.461
## .EE6 0.461 0.119 3.879 0.000 0.461 0.473
## .PE4 ~~
## .PE5 0.436 0.074 5.923 0.000 0.436 0.620
## PE ~~
## SI 0.561 0.052 10.764 0.000 0.561 0.561
## EEFC 0.716 0.041 17.572 0.000 0.716 0.716
## SI ~~
## EEFC 0.431 0.076 5.649 0.000 0.431 0.431
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 4.530 0.090 50.072 0.000 4.530 3.681
## .PE2 3.811 0.083 46.050 0.000 3.811 3.386
## .PE3 3.751 0.076 49.251 0.000 3.751 3.621
## .PE4 4.530 0.086 52.572 0.000 4.530 3.865
## .PE5 4.573 0.083 54.923 0.000 4.573 4.038
## .PE6 4.049 0.083 48.493 0.000 4.049 3.565
## .PE7 4.859 0.087 56.150 0.000 4.859 4.128
## .PE8 4.308 0.087 49.292 0.000 4.308 3.624
## .PE9 4.178 0.085 49.174 0.000 4.178 3.615
## .SI1 3.465 0.101 34.459 0.000 3.465 2.533
## .SI2 4.157 0.103 40.281 0.000 4.157 2.962
## .SI3 3.308 0.102 32.553 0.000 3.308 2.393
## .SI4 4.530 0.090 50.252 0.000 4.530 3.695
## .SI5 3.773 0.093 40.403 0.000 3.773 2.970
## .FC1 4.211 0.120 34.951 0.000 4.211 2.570
## .FC2 4.362 0.092 47.329 0.000 4.362 3.480
## .FC4 4.276 0.087 49.156 0.000 4.276 3.614
## .EE1 4.065 0.072 56.172 0.000 4.065 4.130
## .EE2 4.422 0.080 55.515 0.000 4.422 4.082
## .EE3 4.605 0.079 57.945 0.000 4.605 4.260
## .EE4 3.778 0.084 45.128 0.000 3.778 3.318
## .EE5 4.373 0.086 50.835 0.000 4.373 3.737
## .EE6 4.141 0.083 50.038 0.000 4.141 3.679
## .B1 4.254 0.111 38.263 0.000 4.254 2.813
## PE 0.000 0.000 0.000
## SI 0.000 0.000 0.000
## EEFC 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .PE1 0.746 0.109 6.856 0.000 0.746 0.493
## .PE2 0.413 0.065 6.306 0.000 0.413 0.326
## .PE3 0.355 0.048 7.450 0.000 0.355 0.331
## .PE4 0.702 0.081 8.636 0.000 0.702 0.511
## .PE5 0.706 0.082 8.611 0.000 0.706 0.551
## .PE6 0.335 0.044 7.551 0.000 0.335 0.260
## .PE7 0.757 0.087 8.692 0.000 0.757 0.546
## .PE8 0.350 0.048 7.224 0.000 0.350 0.248
## .PE9 0.416 0.073 5.673 0.000 0.416 0.311
## .SI1 0.327 0.078 4.191 0.000 0.327 0.175
## .SI2 1.351 0.150 8.992 0.000 1.351 0.686
## .SI3 0.397 0.117 3.383 0.001 0.397 0.208
## .SI4 1.183 0.120 9.859 0.000 1.183 0.787
## .SI5 1.119 0.138 8.097 0.000 1.119 0.693
## .FC1 1.997 0.207 9.656 0.000 1.997 0.744
## .FC2 0.689 0.110 6.249 0.000 0.689 0.438
## .FC4 0.440 0.079 5.576 0.000 0.440 0.315
## .EE1 0.456 0.059 7.789 0.000 0.456 0.471
## .EE2 0.505 0.075 6.776 0.000 0.505 0.431
## .EE3 0.462 0.070 6.576 0.000 0.462 0.395
## .EE4 1.041 0.136 7.668 0.000 1.041 0.803
## .EE5 0.986 0.141 6.995 0.000 0.986 0.721
## .EE6 0.916 0.125 7.308 0.000 0.916 0.723
## .B1 0.930 0.112 8.294 0.000 0.930 0.407
## PE 1.000 1.000 1.000
## SI 1.000 1.000 1.000
## EEFC 1.000 1.000 1.000
##
## R-Square:
## Estimate
## PE1 0.507
## PE2 0.674
## PE3 0.669
## PE4 0.489
## PE5 0.449
## PE6 0.740
## PE7 0.454
## PE8 0.752
## PE9 0.689
## SI1 0.825
## SI2 0.314
## SI3 0.792
## SI4 0.213
## SI5 0.307
## FC1 0.256
## FC2 0.562
## FC4 0.685
## EE1 0.529
## EE2 0.569
## EE3 0.605
## EE4 0.197
## EE5 0.279
## EE6 0.277
## B1 0.593