Hello, I ran a longitudinal LCA and have selected a 4 class model and now want to look at covariates. Can you tell me how Mplus handles missing data on the indicators when using R3step? My indicators do have missing data, but when I ran the unconditional model, I used FIML and all of my cases were used. However, when I ran the conditional model, I lost several cases. Is there a special way to invoke FIML when using R3step?
The reason for the deleted cases is missing data in the covariates (not the indicators). You can use the manual R3step, see section 3 http://statmodel.com/download/webnotes/webnote15.pdf where you can include a model for the covariates. Instead of C on X; you would use C on X; X;