The repeated measures ANOVA is similar to the dependent sample T-Test, because it also compares the mean scores of one group to another group on different observations. It is necessary for the repeated measures ANOVA for the cases in one observation to be directly linked with the cases in all other observations.

Why do you use a repeated measures ANOVA?

The benefits of repeated measures designs are that they reduce the error variance. This is because for these tests the within group variability is restricted to measuring differences between an individual's responses between time points, not differences between individuals.

What is the primary advantage of the repeated measures ANOVA compared to the between subjects ANOVA?

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.