Repeated Measures ANOVA Jamovi Tutorial

In this tutorial, we’ll walk through how to run a Repeated Measures ANOVA in Jamovi. You’ll learn when this test is appropriate, how to check key assumptions (like normality and sphericity), and how to interpret the output. We’ll also go through post hoc testing and visualization so you can see exactly where differences occur. By the end, you’ll know how to confidently analyze data where the same (or matched!) group is measured over time/scenarios.

Download the dataset to follow along! Link: https://drive.google.com/file/d/1L661...

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Timestamps
0:00 – Welcome & Overview
0:39 – What is a Repeated Measures ANOVA?
1:26 – Why Use a Repeated Measures Design? (advantages & power)
2:41 – Setting Up the Analysis in Jamovi
3:35 – Assumption: Normality (QQ Plot, Shapiro–Wilk)
4:47 – Assumption: Sphericity (Mauchly’s Test & Corrections)
5:51 – Adding Effect Size (Partial Eta Squared) & Descriptives
6:11 – Reviewing Main ANOVA Results
7:21 – Effect Size Interpretation
7:25 – Why Post Hoc Tests Are Needed
7:37 – Running Post Hoc Tests in Jamovi (Bonferroni, etc.)
8:51 – Pairwise Comparisons Results
9:19 – Adding Plots (Estimated Marginal Means)
9:49 – Visualizing Trends Across Time Points
10:49 – Key Takeaways & Wrap-Up