Hello! I would like to conduct a GMM to identify latent classes based on trajectories of adjustment across three time points. I have four separate variables that I am using as measures of adjustment. Is it possible to include all four variables as outcomes in one model? Or would I have to run a separate model for each outcome? Ideally I would like to identify classes based on scores from all four variables simultaneously. Is this possible, and if so, how would I do this in mplus? Thank you!
You could run a GMM with four processes and one categorical latent variable. You could also consider creating a factor using the four variables. In any case, I would start out looking at each process separately.