Jake Lant posted on Friday, March 02, 2012 - 5:44 am
I have a question about the method I am using—I used MLR (M-estimation with robust SEs, correct?) to test a moderation model.
DV and proposed moderator are both continuos, and the third variable is categorical (gender); data "symptoms": non normal distribution, outliers, missing data (around 1%). n = 467.
MLR seemed like the best way to go given the situation I have here, but after reading 1987 Rousseeuw and Leroy's book (Robust regression and outlier detection), I am questioning my choice. There are way too many methods, but do you think I made the best choice, based on the methods available on Mplus? Or is there a better method that could perhaps prove to be a more powerful test?