Repeated Measures Design - Repeated Measures ANOVA - Cautions


While there are many advantages to repeated-measures design, the repeated measures ANOVA is not always the best statistical analyses to conduct. The rANOVA is still highly vulnerable to effects from missing values, imputation, unequivalent time points between subjects, and violations of sphericity. These issues can result in sampling bias and inflated rates of Type I error. In such cases it may be better to consider use of a linear mixed model.

Read more about this topic:  Repeated Measures Design, Repeated Measures ANOVA

Other articles related to "caution, cautions":

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