In a multiple group growth mixture modeling context, what is the effect of the input term (I've provided example code below): c#1 on SEX#1 Ctemp; where SEX is the grouping factor. My understanding is that different parameters will be estimated for the latent classes as a function of sex, with also some effect of Ctemp (a continuous predictor). However, isn't this done directly with explicitly allowing differences in the parameters (as I've done below)?
Along similar lines, what does the following mean conceptually in the output (which is related to the input I asked about above):
Categorical Latent Variables
C#1 ON SEX#1 0.345 0.266 1.299
C#1 ON CTEMP 1.003 0.259 3.874
Means SEX#1 0.067 0.056 1.202 C#1 -0.656 0.169 -3.886
I understand everything in the output and how to set-up the model except for these issues. Since multiple group growth mixture models are few and far between, I've not been able to find much on the issue. Thanks!