%0 Generic %A Sommet, Nicolas %D 2018 %T [A Procedure for Multilevel Logistic Modeling] Appendix, Datasets, and Syntax Files %U https://figshare.com/articles/dataset/_A_Procedure_for_Multilevel_Logistic_Modeling_Appendix_Datasets_and_Syntax_Files/5350786 %R 10.6084/m9.figshare.5350786.v4 %2 https://ndownloader.figshare.com/files/10668607 %2 https://ndownloader.figshare.com/files/9195115 %2 https://ndownloader.figshare.com/files/9195112 %2 https://ndownloader.figshare.com/files/10668610 %2 https://ndownloader.figshare.com/files/9195100 %2 https://ndownloader.figshare.com/files/12865601 %K Logistic regressions %K Multilevel regression analysis %K Psychological Methodology, Design and Analysis %X
- For each software, a series of sub-appendices describes the way to handle each stage of the procedure;
- For each software, a .zip file contains the dataset in .dta (for Stata), .rdata (for R), .dat (for Mplus), and .sav (for SPSS), as well as the syntax file(s) in .do (for Stata), .R (for R), .inp (for Mplus), and .sps (for SPSS)
- The dataset is also provided in .csv format.

If you notice a mistake in the Stata or SPSS-related Appendices and/or syntax files, please report it to Nicolas Sommet (nicolas.sommet@unil.ch). If you notice a mistake in the R or Mplus-related Appendices and/or syntax files, please report it to Davide Morselli (davide.morselli@unil.ch).

Sommet, N. and Morselli, D. (2017). Keep Calm and Learn Multilevel Logistic Modeling: A Simplified Three-Step Procedure Using Stata, R, Mplus, and SPSS. International Review of Social Psychology, 30, 203–218, DOI: https://doi.org/10.5334/irsp.90
%I figshare