Is ML robust to non-normal distribution data or does it assume normality?

22 November 2024 1 3K Report

Hello,

Is ML robust to non-normal distribution data or does it assume normality in Mplus?

Best,

It depends on the type and degree of non-normality. There are a variety of robust ML estimation methods available in Mplus for CFA & SEM with latent variables, for example, MLR, MLM, and MLMV. Those estimators provide standard errors and test statistics that are more robust to non-normality than those obtained from conventional ML estimation.

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