I am interested in running a logistic MLM with complex survey data. The data have weights at Level-1 an Level-2. There is clustering and stratification of the data. I need to test random effects and cross-level interactions. Is this type of analysis possible in Mplus? If it is possible, which type of analysis should I use?
Can you please confirm that logistic MLM can be run with complex survey data, using the MLR estimator with survey weights? Based on some prior posts on this discussion board, I'm unclear as to whether utilizing the MLR estimator will give me probit regression coefficients from the default, or will in fact produce logistic regression coefficients.