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Hi, I did an LCA using 38 categorical indicators and 337 observations to fit a 3 class model. I wanted to use the likelihood ratio chi2 to explore adequacy of model fit but I keep getting the following message: THE CHISQUARE TEST IS NOT COMPUTED BECAUSE THE FREQUENCY TABLE FOR THE LATENT CLASS INDICATOR MODEL PART IS TOO LARGE. Are there any other options? tks, 


The chisquare test referred to is for the multiway frequency table for the categorical variables. This test works well for 8 or fewer variables. With 38, the table is too large. You can look at TECH10 to assess model misfit. 


Thanks for the recommendation. However,when I added "tech10" I found the tech10 output was empty (using MPLUS 5.2) 


TECH10 was added in Version 5.2. It sounds like there may be a problem for your situation. 


Hi, I solved the problem and got the tech10 output. I'm not sure which column I should be looking at in the bivariate model fit results (residuals between pairs of indicators). Is it the last one with the standardized residuals (zscore)? If so, is the /+ 1.96 an appropriate cutoff point for an alpha =0.05? tks 


Yes, you should look at the standardized value which is a zscore and use appropriate zscore cutoffs. 


Great thanks! In relation to tech11 and tech14 outputs; can the likelihood values for the VuongLoMendellRubin and bootstrapped ratio tests be exactly the same? 


They typically are not. 

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