The primary way that analysis of variance for repeated measures differs from that for an independent groups design is in the estimation of
A) between-group variation.
B) variability between means.
C) systematic variation.
D) error variation.

Question

Quizplus · Accepted Answer

The primary difference between ANOVA for repeated measures and ANOVA for independent groups is in the estimation of error variation. In independent groups ANOVA, there is only one measure per participant, so the error term is estimated as the variability within groups. However, in repeated measures ANOVA, multiple measures are taken on each participant, and the error term is estimated as the variability within subjects across all conditions. The estimation of between-group variation, variability between means, and systematic variation are all consistent across both designs.

The Primary Way That Analysis of Variance for Repeated Measures