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Two-way ANOVA

Design (from spreadsheet)

Analysis

on significant main effects
slice interaction

Two-way ANOVA

Test the independent and joint effects of two categorical factors.


← Set column roles in the spreadsheet, then click ▶ Run two-way ANOVA.


Engine: weighted cell-means (Type III SS, works for unbalanced designs).
Post-hoc: Tukey HSD with Kramer correction for unequal n.
Effect size: partial η² per effect.

Repeated-Measures ANOVA

Design (from spreadsheet)

Analysis

paired t, Bonferroni

About this test

Requires raw, subject-linked data — unlike the one-/two-way ANOVA panels, there's no valid "from summary statistics" shortcut here: the error term depends on how each subject's own values move together across levels, which a per-condition mean/SD throws away.

Sphericity is tested (Mauchly's W), with Greenhouse-Geisser and Huynh-Feldt corrected p-values shown alongside the uncorrected one — verified against R's ez::ezANOVA / Python's pingouin.rm_anova conventions. Mauchly's test itself has low power at small n, so a non-significant result doesn't confirm sphericity holds — the GG-corrected p is the safer default read regardless of what Mauchly's says.

Repeated-Measures ANOVA

Test a within-factor across repeated observations on the same subjects.


← Set column roles in the spreadsheet, then click ▶ Run repeated-measures ANOVA.


Engine: one-way within-subjects ANOVA (subject variance partitioned out of error).
Post-hoc: pairwise paired t-tests, Bonferroni-adjusted.
Effect size: partial η² for the within-factor.

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