1)The items I am using for model identification and selection in my LCA have no missing values. Unfortunately, the variables I want to use for covariates have about 20% to 30% missing. What would you recommend I do in this case? Obviously when then attempting to add covariates, the gamma and rho estimates change from the initial model identification. I have a nice sample of about 1100 future teachers. Iím afraid if I go back and drop observations with missing values across the covariates, Iíll lose a huge portion of my data.
2) If I am able to get that resolved, is there a way I could ask ďConditional on [some covariates], does class membership predict [some outcome]?
I believe the outcomes I am thinking about also have missing issues at about the same percentage as above