Identify what repeated-measures ANOVA does.
Within-subjects, one-way ANOVA, called repeated-measures ANOVA, is a one-way ANOVA for dependent samples. It divides variability in a set of scores into two factors: (1) variability due to individual differences and (2) variability due to treatment. Thus, repeated-measures ANOVA provides a more pure measure of the effect of treatment than a paired-samples t test because it separates out variability due to individual differences.
Complete a one-way, repeated-measures ANOVA.
Check the assumptions (random samples, independence of observations, normality) and form the null and alternative hypotheses.
Calculate degrees of freedom, find the critical value of F, and set the decision rule.
Given sums of squares, complete an ANOVA summary table.
Interpret a one-way, repeated-measures ANOVA.
Determine if the null hypothesis was rejected and write the results in APA format.
Calculate an effect size, eta squared.
If the null hypothesis was rejected, complete post-hoc tests (Tukey HSD) to determine where effects are and what their direction is.
Write a four-point interpretation (What was done? What was found? What does it mean? What suggestions are there for future research?).