1. The magnitude of the variance due to individual differences must be measured and subtracted out of the variance between treatments in the numerator of the F-ratio for a repeated-measures ANOVA.
2. A basic assumption required of repeated-measures ANOVA is that all observations are independent of one another.
3. A basic assumption required of repeated-measures ANOVA is the assumption of homogeneity of variances across experimental conditions.
4. A basic assumption required of repeated-measures ANOVA is that the population distribution of individual scores within each treatment is distributed normally (or at least that the population distribution of sampling means within each treatment is distributed normally).
5. A basic assumption required of repeated-measures ANOVA is the assumption of compound symmetry, which states that not only the variances are homogenous across experimental conditions but that the covariances between scores are homogenous across experimental conditions
6. A repeated-measures study uses a sample of n = 10 participants to evaluate the mean differences among three treatment conditions. The analysis of variance for this study will have dftotal = 9.
7. After completing a repeated-measures ANOVA with at least three time points, you should always use the pooled error term when comparing two specific means.
8. For a repeated-measures research study comparing 2 treatment conditions with a sample of n = 8 subjects, the F-ratio would have df = 1, 7.