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I'm trying to conduct Associative Latent Transition Analysis in Mplus, in which I want to jointly condition class membership of some outcome latent class (C) at time t+1 on class membership in some predictor latent class (D) at t+1, as well as class membership for both the outcome and predictor latent classes at time t. Here is my attempt: c2#1 on d2#1 d2#2 d1#1 d1#2 c1#1 c1#2; c2#2 on d2#1 d2#2 d1#1 d1#2 c1#1 c1#2; Is that correct? 


Yes. Make sure c2 follows d2 in the list of classes = . 

R Carta posted on Friday, March 12, 2010  4:19 am



Dear Professors we are trying to run a similar model, but we also trying to condition class membership on the predictor latent class (D) at time t+1 on class membership for both variables at time t. The Overall model is: c2#1 on d2#1 d2#2 d1#1 d1#2 c1#1 c1#2; c2#2 on d2#1 d2#2 d1#1 d1#2 c1#1 c1#2; d2#1 on d1#1 d1#2 c1#1 c1#2; d2#2 on d1#1 d1#2 c1#1 c1#2; However, when we try this model we get an error message: ERROR in Model command Invalid ON Statement: D2#1 ON C1#1 The order of categorical latent variables does not allow for this regression. Can you please help? 


The order of the variables in the CLASSES option determines which regressions can be specified. For example, CLASSES = c1 (2) c2 (2); allows the regression of c2 on c1 but not c1 on c2. 

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