I'm running a Factor Mixture Model with 10 indicators variables, 3 latent continuous factors, and specifying a 4 class solution. The model terminates normally and I've replicated the best LL value.
However, I'm trying to reorder the classes to get the largest class as %C#4% in order to run the Tech11 and Tech14 comparison test. The largest class was assigned to %C#3%. To reorder the classes, I'm using the SVALUES output as input and just changing the names of the class labels so the largest class is now last.
The trouble I'm having is that I'm positing a fully invariant model so all my start values are the same. When I run the model it doesn't converge and all cases are assigned to a single class (%C#3%), the class which was previously the largest when not inputting user-specified start values.
Do you have any suggestions to correct for this issue?
Thank you. I see what you're what you're saying. I haven't yet specified class specific parameters. Currently, the only parameters that differ across classes are the means of the continuous factors across classes. Is there a way to reorder the classes in this situation?