A new preprint was released yesterday February $8^{th}$!
In this paper we propose a clear step-by-step guide to select random effects structures for multilevel linear models.
The approach has been validated by means of an extensive simulation study.
Importantly, in this work we try to find the optimal trade-off between conputational resources and statistical soundness.
A clear step-by-step procedure, which can help the inexperienced researcher in selecting the most appropriate random-effects structure, validated by means of an extensive simulation approach.@rstats4ds @DataScienceInR https://t.co/V6yJbNDtOM
— Michele Scandola (@Scandle) February 8, 2021