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When to Use Mixed Models and When RM-ANOVA - An Argument for Statistical Parsimony

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powerquantitative-psychologysocial-and-behavioral-sciencesstatistical-methods
When should researchers use linear mixed-effects models (LMMs) versus repeated-measures analysis of variance (RM-ANOVA) for analysing repeated-measures data? I first outline the conceptual and statistical differences between the two approaches: RM-ANOVA operates on aggregated difference scores, wher
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