Hello - even though this is a more general question, I would be happy if I could get some advice on it:
Problem: I have dichotomous indicators repeatedly measured at four points in time (each one year apart, panel study). An initial latent class analysis showed that a four-class model fits best to the data. Further, a plot of the LC-clasess shows that two of the four classes 'converge' at the fourth measurement point - they seem to have the same probalities for positively answering the single item at time 4. I now want to model the data as a latent growth curve mixture model.
Question: Using latent growth curve mixture modeling (or any other approach), how could I estimate the probability that members of one latent class do change or do not change their class-membership (=trajectories) for the period under study? Is there any applied literature?