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Hi, how can I estimate a SEM with a nominal dependent manifest variable? If I include the command "nominal is", the program keeps saying that my estimation is only possible with monte carlo. Isn't there a more simple solution for my problem? Thank you for any help. 


The message refers to Monte Carlo integration. You need to add INTEGRATION=MONTECARLO; to the ANALYSIS command. 


Thank you! Is there a way to choose the reference category? 


Not without reordering the variable. Mplus uses the last category as the reference category. 


Many thanks. Could you recommend a paper that addresses the topic of a SEM with a nominal dependent observable variable? 


I don't know of any offhand. 


Thanks anyway. Is there a way to receive other output than odds ratios in my SEM with a nominal dependent variable, for example maximal effects? 


No. There are no extra options in this case. 

sandra C. posted on Wednesday, April 28, 2010  4:44 am



Hello! We are estimating a SEM with nominal dependent variable (3 categories). Could you recomend us a way to analyse the godness of fit of the model, please? Thanks in advance. 


When chisquare and related fit statistics are not available, nested models are compared using 2 times the loglikelihood difference which is distributed as chisquare. 

sandra C. posted on Wednesday, April 28, 2010  8:53 am



Thanks, Linda. Do you know if, there is any way to perform multigroup analysis with nominal dependent variable? 


You would need to do it with TYPE=MIXTURE and the KNOWNCLASS option. 

Hicham Raïq posted on Monday, October 29, 2012  1:24 pm



Im working on SEM with nominal dependent variable (4 categories). What il the main important criterion to test model goodness of fit. And how could we interpret it. Thanks 


There are no absolute fit statistics in thia situation. Nested models can be compared using 2 times the loglikelihood difference which is distributed as chisquare or BIC. 

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