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kim0sun / glca

An R Package for Multiple-Group Latent Class Analysis
https://kim0sun.github.io/glca/
GNU General Public License v3.0
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parameters multiple group lca #10

Closed ruser1234 closed 2 years ago

ruser1234 commented 2 years ago

Hello,

I am not sure if this question is appropriate but I will try. I am running a multipe group LCA and was asked to replicate my results in Mplus.The results for a lca without grouping variable are identical. But now I noticed that when running a multiple group LCA, Mplus has always one more parameter. I guess therefore the Log-likelihood as well as BIC, AIC are different. However, the class prevalences in Mplus and glca are always identical. I am running a LCA with 6 variables (3 levels). Having three classes, there are 38 parameters. When adding a grouping variable with two groups, I get 40 parameters in glca and 41 parameters in Mplus. I am not that good in statistics. I am able to calculate the parameters for a model without a grouping variable but I am confused when adding a grouping variable.

Does somebody have any ideas or can help me calcuate the parameters?

kim0sun commented 2 years ago

Hi, Can you share the results in Mplus? I think 40 is correct in that situation.