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Bootstrapping option for Type = twole...
Multilevel Data/Complex Sample
posted on Friday, February 17, 2017 - 3:33 am
Because I suspect non-normality I would like to repeat my multilevel analyses by using a bootstrap method. Is it possible to do bootstrapping when using Type = twolevel random and Estimator = MLR?
In case this is not possible, I also read that MLR already produces p-values that are robust to normality violations. Is this correct and is it described in a paper?
Bengt O. Muthen
posted on Friday, February 17, 2017 - 10:01 am
I think you are referring to nonnormality of your variables as opposed to nonnormality of your effects (such as an indirect effect a*b). MLR is suitable for the former but not the latter.
Regarding MLR SEs, look for articles by Satorra & Bentler and ask on SEMNET.
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