Repeated-measures ANOVA calculator
Each field contains one condition and subject order must match.
Condition means
| Condition | Mean | SD |
|---|---|---|
| Fill in the fields above — the result is computed on this page. | ||
How do I use this page?
- Paste condition values in matching subject order.
- Review means, F and degrees of freedom.
- If significant, assess sphericity and corrected planned comparisons.
What this page does not do: The calculator assumes sphericity and complete data. It does not apply Greenhouse-Geisser or Huynh-Feldt corrections and does not run post-hoc tests.
Further reading
Theory — what is repeated-measures ANOVA?
Repeated-measures ANOVA separates between-subject variation from differences between conditions by pairing observations instead of treating them as independent. Each field in the calculator holds the results of one condition, and subject order must match across all fields. The resulting p-value tests the joint hypothesis that all condition means are equal. When data are ordinal or parametric assumptions are clearly violated, the rank-based Friedman test is often a better choice.
Frequently asked questions
When should I use the Friedman test?
Can I omit a missing measurement?
See also
A/B test calculator
Compare two proportions in an A/B test. Calculate conversion rates, difference, uplift, z score, p value and c
A/B test planning — sample size, MDE and duration
Plan a two-proportion experiment, estimate detectable effect and traffic duration.
ACF and PACF autocorrelation calculator
Calculate ACF and PACF across time-series lags. Review the chart, reference bounds and coefficient table.