I have a latent class variable CN (measured by u1-u10) predicting distal outcome Y. I want to examine if another latent class variable CP (measured by u11-u15) moderates this relationship. Would it be correct to do:
Step 1a: LCA for CN on u1-u10, save class membership N1 and get classification error logits
Step 1b: LCA for CP on u11-u15; save class membership N2 and get logits
You need to add Model cn:... and Model cp: ... See UG examples with more than one latent class variable.
Also, you can't have Y ON N because Mplus doesn't regress on nominal variables. Instead, simply say [Y]; to let the mean of Y vary across the classes.
Web Note 15 points out, however, that the class percentages may change when you include Y as a DV in the model. You should check for that. This change is what the new DCON option tries to avoid. But DCON can be used only with one latent class variable.
Thank you, Dr. Bengt Muthen. I'll definitely check class switching. As for the syntax, in addition to [Y] under %OVERALL%, I am not sure whether to put [Y] under MODEL CN or MODEL CP, or both. I am interested in whether CP moderates the association between CN and Y. Please let me know which I should do. Thank you!