Creating mean centered and compositional variables for multilevel analysis in RStudio

This video demonstrates a common pre-processing step that is carried out prior to performing multilevel modeling using RStudio: creating mean-centered (either grand mean centered or group mean centered) Level 1 predictors and/or compositional variables (i.e., aggregates of Level 1 predictors). In this presentation, I rely on R code described in chapter 6 of Huang's (2023) text, Practical Multilevel Modeling (see here us.sagepub.com/en-us/nam/prac....
You can download a copy of the data file I reference in the video here:
drive.google.com/file/d/182P_...
Feel free to download the following supplemental documents:
drive.google.com/file/d/1pOYa...
drive.google.com/file/d/1oYJF...

[@Flyingmonkey404]

Great video, very informative!!!