GMM with Multiple Continuous Outcomes PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
Message/Author
 Kate Norwalk posted on Friday, January 31, 2014 - 7:28 am
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!
 Linda K. Muthen posted on Friday, January 31, 2014 - 9:37 am
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.
Back to top
Add Your Message Here
Post:
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Password:
Options: Enable HTML code in message
Automatically activate URLs in message
Action: