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I am trying to run a 4 class GGMM with a sample size of 1,000,000. I can get the model to run using subsamples of 1,000 and even 10,000  but when I increase the sample size, the model will not converge. I tried to increase the convergence criteria to .005, but it did not help. I still get the following error message: THE MODEL ESTIMATION DID NOT TERMINATE NORMALLY DUE TO A CHANGE IN THE CLASS COUNTS DURING THE LAST E STEP. AN INSUFFICENT NUMBER OF E STEP ITERATIONS MAY HAVE BEEN USED. INCREASE THE NUMBER OF M ITERATIONS. ESTIMATES CANNOT BE TRUSTED. THE CLASS COUNTS CHANGED IN THE LAST EM ITERATION FOR CLASS 1. I think this is because with even the most minor of parameter adjustment, at least one person would change classes, which would generate the above error message. Is there a way to adjust the convergence requirements for the class counts for this with such a large sample size? Or is there some other problem? Thanks! Jess 


Try adding ALGORITHM=INTEGRATION; to the ANALYSIS command. I think that will get around checking class counts. 


That worked  Thanks Linda! 

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