Mixed Models and Latent Growth Curves

This talk will compare two common approaches to dealing with longitudinal data, mixed models* and latent growth curves (LGC)*.  While mixed models can be understood from a standard regression modeling perspective, LGC require structural equation modeling and the requisite tools for such modeling.  However, both these models will produce identical output under the right settings, and knowing how they are similar will allow one to choose the right tool when the time comes to answer their own research question.

Prereq: Some basic modeling experience with R.  While no experience with these models is required per se, having some idea of what they are and why one would use them would be helpful.

Link: https://m-clark.github.io/mixed-models-with-R/