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Removing subject variability from error variability is an advantage of repeated measures ANOVAs. True or Fale?

Removing subject variability from error variability is an advantage of repeated measures ANOVAs. True or Fale?

Math   Statistics-And-Probability   
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Answer #1

Repeated measures designs can be very powerful because they control for factors that cause variability between subjects.

The primary strengths of the repeated measures design is that it makes an experiment more efficient and helps keep the variability low. This helps to keep the validity of the results higher, while still allowing for smaller than usual subject groups.

Thus we can say that removing variability is the advantage of repeated measures ANOVA.

Thus the given statement is true.

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