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 Gemma Lewis posted on Thursday, December 18, 2014 - 3:33 am
Hello. I am trying to run an exploratory LCA on a dataset n=1070. I have 18 binary indicators. I started with 2 classes and continued until BIC deteriorated (7 classes). 6 classes has lowest BIC. However, for each model I get the error message below. I have tried using TECH10 to get bivariate fit but I am not sure if this generates a p value?
1. Are there any other solutions?
2. does this mean this is a poorly fitting model?

thanks
Gemma

THE CHI-SQUARE TEST CANNOT BE COMPUTED BECAUSE THE FREQUENCY TABLE FOR THE
LATENT CLASS INDICATOR MODEL PART IS TOO LARGE.
 Linda K. Muthen posted on Thursday, December 18, 2014 - 6:19 am
The chi-square test of the frequency table of categorical variables cannot be computed when the frequency table is too large. Usually it works best with 8 or fewer indicators. This does not say anything about the fit of your model.

TECH10 gives univariate, bivariate, and response pattern fit information. The standardized residuals are z-scores. Values greater than 1.96 suggest misfit.
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