Group-mean centering for multilevel models
When using multilevel models, researchers will often want to group-mean center variables to aid in interpretability. This tool, implemented in R, centers variables by group/cluster.
Commented R code available here: https://osf.io/f2mqh
Written by Doc Edge; Modified by Eric Hehman
Sampling from data to assess when averages are stable
Commented R code and tutorial found here:
Based on working paper found here:
Written by Gabe Nespoli, Sally Xie, Eric Hehman
Estimating ICCs in cross-classified multilevel models
Estimating ICCs can inform researchers as to what percentage of variance in their variable of interest is coming from different levels of the multilevel model. For instance, research here uses these models to estimate the percentage of variance in person perception ratings originating from between-perceiver and between-target differences.
Commented R code and tutorial found here: [Link]
Based on paper found here: [Link]
Written by Eric Hehman