Model Validity Measures


Validity Analysis

CRAVE MSVMaxR(H) TeamMorale StakeholderHappiness RelationalConflict PsychologicalSafety F1
TeamMorale 0,955 0,876 0,616 0,955 0,936
StakeholderHappiness 0,929 0,767 0,368 0,958 0,607*** 0,876
RelationalConflict 0,960 0,890 0,568 0,963 -0,565*** -0,341*** 0,943
PsychologicalSafety 0,894 0,737 0,616 0,896 0,785*** 0,577*** -0,753*** 0,859
F1 0,766 0,621 0,506 0,772 0,631*** 0,516*** -0,456*** 0,711*** 0,788

Significance of Correlations:
† p < 0.100
* p < 0.050
** p < 0.010
*** p < 0.001

Validity Warnings

No validity concerns here.

Validity Analysis - Confidence Intervals

CRAVELower 95% CRUpper 95% CRLower 95% AVEUpper 95% AVE
TeamMorale 0,955 0,876 0,931 0,973 0,818 0,924
StakeholderHappiness 0,929 0,767 0,897 0,955 0,687 0,842
RelationalConflict 0,960 0,890 0,931 0,980 0,817 0,944
PsychologicalSafety 0,894 0,737 0,831 0,932 0,621 0,822
F1 0,766 0,621 0,634 0,886 0,465 0,796

HTMT Analysis

TeamMorale StakeholderHappiness RelationalConflict PsychologicalSafety F1
TeamMorale
StakeholderHappiness 0,655
RelationalConflict 0,000 0,000
PsychologicalSafety 0,785 0,657 0,000
F1 0,631 0,572 0,000 0,715

Thresholds are 0.850 for strict and 0.900 for liberal discriminant validity.

HTMT Warnings

TeamMorale and PsychologicalSafety upper values are statistically indistinguishable.

HTMT Analysis - Lower Confidence Intervals

TeamMorale StakeholderHappiness RelationalConflict PsychologicalSafety F1
TeamMorale
StakeholderHappiness 0,544
RelationalConflict 0,000 0,000
PsychologicalSafety 0,702 0,554 0,000
F1 0,526 0,455 0,000 0,616

HTMT Analysis - Upper Confidence Intervals

TeamMorale StakeholderHappiness RelationalConflict PsychologicalSafety F1
TeamMorale
StakeholderHappiness 0,751
RelationalConflict 0,000 0,000
PsychologicalSafety 0,852 0,745 0,000
F1 0,701 0,655 0,000 0,791

References

Thresholds From:
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
Henseler, J., C. M. Ringle, and M. Sarstedt (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling, Journal of the Academy of Marketing Science, 43 (1), 115-135.

--If you would like to cite this tool directly, please use the following: Gaskin, J., James, M., and Lim, J. (2019), "Master Validity Tool", AMOS Plugin. Gaskination's StatWiki.