Bayesian LCA - Assigning Individuals ... PreviousNext
Mplus Discussion > Latent Variable Mixture Modeling >
 Chris Koenig posted on Wednesday, March 27, 2013 - 2:28 am
Dear all,

I am conducting a Bayesian LCA with three indicators and two distal outcomes. Since MODEL TEST and the AUXILIARY approach are not available for ESTIMATOR = BAYES, I use the "old" approach and look at the variation of the outcomes across classes.

The model runs fine, the chains are mixing good and converging, and I get a reasonable class-solution. However, I am stuck at assigning individuals to classes. I do not know how to assign individuals to classes; with ESTIMATOR = ML, you just use SAVE = CPROB to obtain most likely class-membership. With ESTIMATOR = BAYES, this option is not available. When I use SAVE = FSCORES, the plausible values for most likely class membership never match the number of individuals in the respective groups.

I feel like I am missing an obvious point here, but could somebody kindly tell me how (i.e. based on what output/part of the output) to assign individuals to classes in Bayesian LCA?

Thank you so much!

Kind regards,
 Bengt O. Muthen posted on Wednesday, March 27, 2013 - 3:36 pm
Please send your data, input, output, and save file to Support so we can help you.
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