Message/Author |
|
|
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 chi-square and related fit statistics are not available, nested models are compared using -2 times the loglikelihood difference which is distributed as chi-square. |
|
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 chi-square or BIC. |
|
Back to top |