An repeated measures analysis of variance (ANOVA) test indicates whether the means of three or more numeric columns appear to differ when observations in each row are related (for example, when each row represents test scores from the same student). It is a generalization of the paired t-test, which applies only to two groups.

To perform a repeated measures ANOVA test:

- In the Summary view, use the confidence slider to choose a desired confidence level
- Command-click three or more numeric columns of interest on the left
- Check the box labeled
*Repeated measures*below the summary picture - The result of the ANOVA test will appear in the Bottom Line

See also:

- Performing a paired t-test of two numeric columns’ means
- Adjusting a p-value to account for multiple comparisons
- Performing a Friedman test of the relative values of three or more numeric columns
- Performing an ANOVA test of three or more numeric columns’ means
- Performing an ANOVA test of a numeric column’s mean across values of another column
- Performing a two-way ANOVA test of a numeric column’s mean across values of two other columns
- Performing a Kruskal-Wallis test of three or more numeric columns’ medians
- Performing a Kolmogorov-Smirnov test of two or more numeric columns’ distributions
- Viewing the correlation coefficient between two numeric columns
- Formatting descriptive and inferential statistics
- About the Summary view