LCA with multiple latent variabels an... PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
 Dato Tsabutashvili posted on Friday, April 18, 2014 - 8:42 am
I am working with a LCA model with two latent variables each with two categories. The model looks good and the categories makes a lot of sense and look like what I had expected. I wanted to use auxiliary variables in 3step process to check their effect on latent classes. However 3 step does not seem to work with the models with more than one latent variable. When I run a LCA model with one variable and 4 categories instead of having two variables with two categories I get different classes which don't look as good as two variable categories. So is there a way to constrain LCA model with one latent variable (4 categories) in a way that it will have the same categories as the model with two variables? In this case I would have the categories I want and still use 3step for multinomial regression.

Thank you very much!
 Linda K. Muthen posted on Saturday, April 19, 2014 - 10:42 am
See the LTA example in Web Note 15.
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