Mixture modeling, known class, cluste... PreviousNext
Mplus Discussion > Categorical Data Modeling >
 CRG posted on Tuesday, April 02, 2019 - 7:33 am
I am running a multiple group multinomial logistic regression. I am using the knownclass option to indicate group membership, as multiple group analysis is not available for type=mixture.
I have 3 groups of countries, meaning that I know observations within countries are not independent from one another. Thus, I want to correct for this using clustered standard errors. I have read to use type=complex in combination with the cluster= command. However, I get the following error message:

*** WARNING in VARIABLE command
CLASSES option is only available with TYPE=MIXTURE.
CLASSES option will be ignored.
*** WARNING in VARIABLE command
KNOWNCLASS option is only available with TYPE=MIXTURE.

How should I proceed? Is it possible to combine multiple group analysis, multinomial logistic regression and the clustering of standard errors?
 Bengt O. Muthen posted on Tuesday, April 02, 2019 - 4:33 pm

Type = Mixture Complex;
 CRG posted on Wednesday, April 03, 2019 - 11:56 pm
Thank you, it had to be something simple like that.
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