How can I handle missing data on dichotomous variables in MPlus? Some of the variables are independent (e.g., marital status = intact; non-intact) and others are dependent (presence/absence of a disorder).
I used the A-B*; which worked for continuous outcomes and all observations are used. However, when the independent and dependent variables are dichotomous the cases without data are deleted? Is there a way to handle those cases so I use the full dataset? Thank you!
Regression models are estimated conditioned on the independent variables. If you don't want the observations with missing on these variables deleted, mention the variances of the independent variables in the MODEL command. They will then be treated as dependent variables and distributional assumptions will be made about them.