You can do this using the Wald test of MODEL TEST or loglikelihood difference testing. See the user's guide for MODEL TEST and Chapter 13 for loglikelihood difference testing. The difference test compares two models, one with equalities across classes and one without.
Lorelai posted on Thursday, March 24, 2016 - 4:09 am
I would like to compare growth curves concerning 'study experience' (consisting of several variables) of two groups of students (1: students who drop out of their study or are delayed at some point during the first two years of their studies, 2: students who are still on track after two years). At four points in time during the first two years of their studies, we gathered 'study experience' data, but of course we 'lose' participants from the first group along the way. My first question is: do you agree that comparing the growth curves of these two groups is a sensible way to analyze these data taking into account the 'loss' of subjects in one of the groups?
In addition, I am of course concerned about inequality concerning for instance student characteristics of these two groups. Therefore I deem it to be sensible to include some relevant covariates. Therefore, my second question is: how do I model the comparison of two growth curves with coviariates in Mplus?
Many thanks in advance!
Lorelai posted on Thursday, March 24, 2016 - 5:28 am
An addition: I am considering a two group latent growth model with time invariant coviariates (since they do not change over time)