You would need to start with a parallel process growth model like the one shown in Example 6.13 and add TYPE=MIXTURE; and one latent class variable using the CLASSES option of the VARIABLE command. For that see Example 8.1.
My study follows a cohort-sequential design. I have transformed my data set and it looks like the one shown in page 405 of User's guide. For this data set, I would like to apply FIML for missing data. In order to do this, is it correct to simply write "TYPE=MIXTURE missing;"?
Following your guidance, is it right to include below commands for my study?
I actually tried to run a growth mixture model with above syntax. And I started with a model without covariates.
However, it seems like that I have a problem with convergence.
I keep getting the same warning message as following:
THE ESTIMATED COVARIANCE MATRIX FOR THE Y VARIABLES IN CLASS 1 COULD NOT BE INVERTED. PROBLEM INVOLVING VARIABLE B7. COMPUTATION COULD NOT BE COMPLETED IN ITERATION 2. CHANGE YOUR MODEL AND/OR STARTING VALUES.
THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO AN ERROR IN THE COMPUTATION. CHANGE YOUR MODEL AND/OR STARTING VALUES.
Could you please provide any tips to solve this kind of problem?
I am VERY VERY new to Mplus, and I am having a tough time studying this on my own.
If I want to specify starting values, what kind of procedure is needed?