Published July 20, 2023
| Version 1.0.2
Dataset
Open
Missing data in the analysis of multilevel and dependent data (Examples)
- 1. University of Hamburg
- 2. IPN - Leibniz Institute for Science and Mathematics Education
Description
Example data sets and computer code for the book chapter titled "Missing Data in the Analysis of Multilevel and Dependent Data" submitted for publication in the second edition of "Dependent Data in Social Science Research" (Stemmler et al., 2015). This repository includes the computer code (".R") and the data sets from both example analyses (Examples 1 and 2). The data sets are available in two file formats (binary ".rda" for use in R; plain-text ".dat").
The data sets contain simulated data from 23,376 (Example 1) and 23,072 (Example 2) individuals from 2,000 groups on four variables:
ID = group identifier (1-2000)
x = numeric (Level 1)
y = numeric (Level 1)
w = binary (Level 2)
In all data sets, missing values are coded as "NA".
Files
r-session-info.txt
Files
(2.5 MB)
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Additional details
References
- Stemmler, M., von Eye, A., & Wiedermann, W. (Eds.). (2015). Dependent data in social sciences research: Forms, issues, and methods of analysis. Springer. https://doi.org/10.1007/978-3-319-20585-4