

Comparing MLR models with type complex 

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I estimated two models with type = complex and estimator = MLR. I want to compare their chisquare. My problem is that I have to estimate the same model with estimator = ML to compare the chisquare (as indicated in one of your appendix) but I cannot do that because it is not possible to estimate a model ML and complex. What can I do to still obtain a chisquare difference test that is correct? 


To obtain the ML chisquare, multiply the MLR chisquare by the scaling correction factor. 


I need to compare a twolevel MIMIC model to the same model with random slope. Using MLR (with Algorithm=integration) it gives me the message THE STANDARD ERRORS OF THE MODEL PARAMETER ESTIMATES MAY NOT BE TRUSTWORTHY FOR SOME PARAMETERS DUE TO A NONPOSITIVE DEFINITE FIRSTORDER DERIVATIVE (.....) PROBLEM INVOLVING PARAMETER 23. but then THE MODEL ESTIMATION TERMINATED NORMALLY I heard that it is not a relevant error, but then Mplus can't calculate Chisquare, CFI, RMSEA, only IC test (BIC, AIC). THe WLS estimation doesn't give this error, but I can't use it with TYPE = TWOLEVEL RANDOM, for the computetion of the random slopes. I could compare the IC but It is a pretty weak test. I think the problem is taht the baseline model does not converge with the MLR. How can I overcome it? Thnx in advance for your reply 


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