Sue Lee posted on Thursday, March 08, 2012 - 2:37 pm
Dear Drs. Muthen,
Could you point to me resources that explain how the auxiliary (e) command tests the difference in the means across latent classes by a covariate? Explanation in the Mplus user guide stating that it is using the posterior probability-based multiple imputations was not sufficient for me.
It is the proportion in each class of the race equal to one in the dummy variable.
The AUXILIARY command is used for screening purposes.
Sue Lee posted on Wednesday, April 11, 2012 - 8:39 am
Thank you, Dr. Muthen. Do you suggest a way to test if the LCA model needs to be stratified by race? I can use the theory and the fact that conditional probabilities of indicators seem to differ substantially in a certain class, but I would like to know if there are ways to back it up statistically.
You can look at the direct effects of the latent class indicators regressed on race and allow them to vary across classes. You cannot look at all of them at the same time because this would not be identified.
I am estimating a growth mixture model and using AUXILIARY (e) function to test differences in predictor means across classes. A reviewer wants to know whether the procedure accounts for multiple testing. I could not find information about this in the technical appendices from 2010 and 2014.