Student posted on Thursday, April 09, 2015 - 11:00 am
I have nested models for which I am using ML estimator with bootstrapping procedures, as they are mediation models. What is the best way to compare the nested models/conduct Chi square difference testing?
My understanding is that 1) bootstrapping methods are recommended for mediation models, 2) bootstrapping helps to deal with non-normal outcomes when using the ML estimator, and 3) for continuous non-normal outcomes, the chi-square difference test for the Satorra-Bentler scaled chi-square is recommended. However, the models (using ML estimator/bootstrapping) do not produce a scaling correction factor that can be used to conduct the scaled difference in Chi Sqr test.