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REPEATED MEASURES (ANOVA)

UNDERSTANDING THE REPEATED - MEASURES ANOVA REPEATED MEASURES ANOVA Analysis of Variance in which subjects are measured more than once to determine whether statistically significant change has occurred, for example, from the pretest to the posttest. (Vogt, 1999) REPEATED MEASURES (ANOVA) An ANOVA in which subjects are measured two or more times and the total variation is partitioned into three components: (1) variation among individuals; (2) variation among test occasions; and (3) residual variation (Hinkle, Wiersma, & Jurs, 2003).

Mauchley’s test for sphericity is the most common way to see whether the assumption has been met. (Vogt, 1999) RESIDUAL VARIATION – Variation not due to either individuals or test occasions in repeated measures ANOVA (Hinkle, Wiersma, & Jurs, 2003). ANOVA: SIMPLE REPEATED MEASURES designs involve measuring an individual two or more

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