Yes, see the examples in Chapter 3 of the user's guide on the website.
Farah Rayes posted on Monday, August 28, 2017 - 5:13 am
I am conducting regression analyses using Mplus. I have two different outcome variables. I also have missing data. I am therefore using ML, while making distributional assumptions about the covariates to prevent the loss of data.
However, I obtained different results depending on whether I ran the regressions for the two outcome variables simultaneously (i.e., requesting the results all at once using one program) or separately (i.e., requesting the results for each outcome variable alone; running the program twice).
Hence, my questions are: - The coefficients and SE differed slightly. Is this due to the missing data? - If so, would you recommend I run the two regressions simultaneously or run each regression separately? (Suppose I don't want to compare the regression coefficients across equations)