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Mplus Discussion > Latent Variable Mixture Modeling >
 Sharon Ghazarian posted on Thursday, May 14, 2009 - 12:22 pm
I have a 4-class LCA solution and would like to use two types of class predictors. One set of predictors were measured at the same time as the class indicators. The other set of predictors were measured at baseline (one year before). Given that the two sets of predictors are correlated, I am wondering how I can model (account for) this correlation?
 Linda K. Muthen posted on Friday, May 15, 2009 - 9:14 am
See the following paper which is available on the website for a discussion of this issue:

Marsh, H.W., Lüdtke, O., Trautwein, U., & Morin, A.J.S. (2009). Classical latent profile analysis of academic self-concept dimensions: Synergy of person- and variable- centered approaches to theoretical models of self-concept. Structural Equation Modeling, 16:2,191-225.

I would treat all of the covariates the same way as observed exogenous variables. In this way, they all correlate.
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