Question: All else being equal (for example, sample size and number of levels or conditions of the independent variable), a repeated-measures analysis of variance has more

All else being equal (for example, sample size and number of levels or conditions of the independent variable), a repeated-measures analysis of variance has more power than a between-subjects analysis of variance because the variability in the dependent variable due to effect is reduced. O less power than a between-subjects analysis of variance because the variability in the dependent variable due to effect is reduced. O more power than a between-subjects analysis of variance because the variability in the dependent variable due to error is reduced. less power than a between-subjects analysis of variance because the variability in the dependent variable due to error is reduced

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