New publication

8 March 2023, by Christine Manor

A new publication by Simon Grund has been published in the Journal of Educational and Behavioral Statistics. 
In their study "Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches", Simon and his co-authors investigated methods for handling missing values in cross-classified data, where observations are nested in multiple types of groups. They investigated to what extent different multiple imputation approaches—including one developed for the R package "miceadds"—were able to compensate missing data and provide accurate results in cross-classified multilevel analyses. 

Grund, S., Lüdtke, O., & Robitzsch, A. (2023). Handling Missing Data in Cross-Classified Multilevel Analyses: An Evaluation of Different Multiple Imputation Approaches. Journal of Educational and Behavioral Statistics. Advance online publication. https://doi.org/10.3102/10769986231151224 

Preprint: https://psyarxiv.com/sny45