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Repeated-Measures ANOVA In Minutes

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Running repeated-measures anova analysis...

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What's in the report?

Standard-library analysis for within-subject designs, with sphericity handled properly. Map a subject identifier, the condition or timepoint each measurement was taken under, and the measured value in long format, and get the repeated-measures ANOVA that removes the stable subject-to-subject differences from the error term: the F test with partial and generalized eta-squared, Mauchly's test of sphericity with the Greenhouse-Geisser and Huynh-Feldt corrected p-values, pairwise post-hoc comparisons corrected for multiplicity, condition means with confidence intervals, and a per-subject profile grid. An optional between-subjects group turns it into a mixed design with a group-by-condition interaction.

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Condition Means

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Per-Subject Profiles

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Repeated-Measures ANOVA

Interactive table visualization

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Sphericity & Corrections

Interactive table visualization

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Which Conditions Differ

Interactive table visualization

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Methods & Disclosure

Interactive table visualization

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

The Question This Answers

Test whether a measurement taken on the same people at three or more timepoints actually changed

Questions?

See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.

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