I am interested in modeling both within and between factor structure of daily diary data. I found this was very easy to do within the context of multilevel modeling in MPlus. However, I am interested in using mixture models to try to identify subgroups who show similar within-person factor structure.
I tried the following: TITLE: Multilevel Mixture Factor Model; DATA: FILE = "data.dat";
However, it looks like this model allows classes to vary across measures of the within persons. Is there a way to constrain the classes to contain individuals while to still model within-person variation?