This is probably the case. You can add TECH9 to the OUTPUT command to find out.
Joonmo Son posted on Wednesday, May 05, 2010 - 6:58 am
Hi, Linda, I got a question.
I generated muliply-imputed data in Stata and want to conduct chi-square model fit test in Mplus using difftest. But I got this error message: "The DIFFTEST option is not available for TYPE=MONTECARLO or multiple imputation."
Of course, I used TYPE=IMPUTATION to read in the imputed data sets.
Could you tell me how I can test chi-square model fits between two different models when using TYPE=IMPUTATION?
I don't think it is clear how to do difference testing for imputed data. If you need help with an error message, send the output and your license number to email@example.com.
Zhang Rui posted on Monday, September 09, 2019 - 12:14 am
Dear professor, I am running a cross-lagged model in Mplus, which includes three waves in a year. The data (including sex and child membership) was imputed by multiple imputation. After controlling for age and sex, we examined whether child membership (1=yes, 0=no) moderated the model. However, I got a error. ¡° When using TYPE=IMPUTATION, the number of observations in each group in all data sets must be the same. Problem with group NO Current data file: SEM1MISSING2.dat Average number of observations in previous data files: 109 Number of observations in current data file: 110¡±. When I added ¡°Nobs= 109¡±, the model still did not run and got another error ¡°When using TYPE=IMPUTATION, the number of observations in each group in all data sets must be the same.¡± I also used another method. When I combined the five MISSING1. DAT to Missing5.DAT into one DAT (using copy and paste), the results did not seem right. Is the combing method what I used correct? What can I do in the next step? Thank you very much.