A repeated-measures ANOVA is a statistical design similar to a paired-samples t-test, but it is distinguished from it because it has the ability to compare more than two treatment conditions. All subjects in this design participate in all treatment conditions. Researchers can create their treatment conditions through 1 of 2 mechanisms: 1) an independent variable is manipulated into two or more variations, and all subjects experience all variations, or 2) the same group of subjects are measured at two or more different times during the study (Gravetter and Wallnau, 2013).
Inputs
This calculator asks you to input your data, and the formula does all the complicated math. Each description on each input value describes the number you should enter in that spot. For example, "Score 1 for participant 2" means you should enter the first score for participant 2 from your data.
Source
Gravetter, F. J., & Wallnau, L. B. (2013). Statistics for the Behavioral Sciences. Wadsworth, CA: Cengage Learning.
This equation, Repeated-measures Analysis of Variance (ANOVA) - 3 Groups, references 1 page
