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ONE-WAY REPEATED MEASURES ANOVA

ONE-WAY REPEATED MEASURES ANOVA. What is the Purpose?. Determine whether there is a difference among two or more condition means. Use for a within-subjects or matched-groups design. Normally used with three or more conditions. Ho is equal condition means. What are the Assumptions?.

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ONE-WAY REPEATED MEASURES ANOVA

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  1. ONE-WAY REPEATED MEASURES ANOVA

  2. What is the Purpose? • Determine whether there is a difference among two or more condition means. • Use for a within-subjects or matched-groups design. • Normally used with three or more conditions. • Ho is equal condition means.

  3. What are the Assumptions? • Interval or ratio scale data • Normal distribution on DV • Sphericity: variance of difference scores is equal for any two conditions

  4. How Does it Work? • Like any ANOVA, variance is divided into parts and then compared. • Within-conditions variance is separated into between-subjects variance and error (or residual) variance. • Individual differences are systematic and removed from the denominator of F.

  5. What is the Non-Parametric Replacement? • Friedman ANOVA • The Friedman ANOVA requires ordinal data and is similar to the Wilcoxon Matched-Pairs T Test.

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