repeated-measures ANOVA separates the variability due to individual differences

Question

repeated-measures ANOVA separates the variability due to individual differences (i.e., subjects) from the within-group variability.

Repeated-measures ANOVA is a more powerful test than between-subjects ANOVA. This means that, with the same scores, a researcher would be _______________ when using a repeated-measures ANOVA.

1. What is the primary advantage of the repeated-measures ANOVA, compared to the between-subjects ANOVA? Repeated-measures ANOVA maximizes error. Repeated-measures ANOVA allows us to compare more than three groups of participants. Calculation of error is easier in a repeated-measures design. Repeated-measures ANOVA partitions out the amount of error due to individual differences.

Explanation / Answer

For question 1
The advantage of repeated measure ANOVA over between-subject ANOVA is that, repeated measure ANOVA partition out the amount of error due to individual differences.

For question 2
It is N-1

Related Questions

Navigate

• Browse (All)
• Browse R
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.