Nested model comparison for ML/bootst... PreviousNext
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 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.

Any help is appreciated. Thank you!
 Tihomir Asparouhov posted on Thursday, April 09, 2015 - 12:27 pm
You can run the model a second time with estimator=mlr and without the bootstrap option to get the SB-LRT testing.
 Student posted on Thursday, April 09, 2015 - 2:47 pm
Thank you!
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