New publication

15 October 2023, by Christine Manor

A new publication by Simon Grund, Oliver Lüdtke and Alexander Robitzsch has been published in the journal Psychological Methods.  

In their study, Simon and his co-authors addressed the question of how model comparisons (likelihood ratio tests, LRTs) can be carried out after multiple imputation of missing values. For this purpose, they compare several so-called pooling methods that summarise the results of LRTs across the multiply imputed data sets and that cover various applications in several simulation studies. They also make these methods available via the R package "mitml" (link) and show their application in a practical example. 

Grund, S., Lüdtke, O., & Robitzsch, A. (2023). Pooling methods for likelihood ratio tests in multiply imputed data sets. Psychological Methods, 28, 1207–1221. https://doi.org/10.1037/met0000556 

Preprint: https://psyarxiv.com/d459g/ 
OSF: https://osf.io/u9s4k/