Model-data fit for count models PreviousNext
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 Boris Forthmann posted on Tuesday, August 20, 2013 - 10:11 am
Dear Mplus-team,

I'm running factor models with count data indicators. For multiple group modeling I use the knownclass option for type = mixture. I know how to perform model comparisons of nested models by means of likelihood ratio testing, which allows for testing if a model fits the data better than a more restricted one.

But is there anything I can do for inferring the fit of a model to the data? Especially, if cells of the contingency table for the chisquare-test were removed, because of extreme values?
 Linda K. Muthen posted on Tuesday, August 20, 2013 - 12:30 pm
There are no absolute fits statistics available in this case. Models with the same set of dependent variables can be compared using BIC.
 Boris Forthmann posted on Saturday, August 31, 2013 - 4:28 pm
Dear Mplus-Team,

when estimating factor models with only count indicators, the distribution of the latent variables is assumed to be normal, right?

Thanks in advance,
 Linda K. Muthen posted on Sunday, September 01, 2013 - 10:13 am
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