repeated-measures ANOVA separates the variability due to individual differences
ID: 2908864 • Letter: R
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.
Gretchen conducts a study in which there are 5 people in each of 3 groups. If she plans to conduct a one-way, repeated-measures ANOVA, what is the value of dfResidual?
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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
The primary advantage of the repeated-measures ANOVA, compared to the between-subjects ANOVA is
"Repeated-measures ANOVA partitions out the amount of error due to individual differences."
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