Evaluating t-distribution and sandwich robust methods for level-1 outliers in hierarchical linear mo

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The Hierarchical Linear Model(HLM) has become popular and widely used in various educational studies recently.However,violations of normality assumptions can have a non-ignorable impact on the model estimation.Both point estimates and standard errors for fixed and random effects can be sensitive to outliers at all levels.
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