One-Way ANOVA Jamovi Tutorial

In this tutorial, we’ll cover how to conduct a One-Way ANOVA in Jamovi. You’ll learn what a one-way ANOVA is, how to test its assumptions, and how to interpret the results. We’ll also walk through how to conduct post hoc tests and create plots to better visualize your findings. By the end, you’ll be able to confidently analyze whether group differences are statistically significant and explain the effect sizes. Download the dataset to follow along! Link: https://drive.google.com/file/d/1L6617O4_QSObhNvE_Hh1Gy2DJff3pS7f/view?usp=sharing If you found this video helpful, please subscribe to my channel for more statistics tutorials, tips, and walkthroughs. I post regular videos to make statistics easier and more approachable, and you can also visit my website (ajoytoteach.com) for additional resources. Have a question or a topic you’d like me to cover? Ask it in the comments! I’m always happy to help. Timestamps 0:00 – Welcome & Overview 0:43 – Example Research Question 0:51 – What is a One-Way ANOVA? 1:38 – Setting Up the Analysis in Jamovi 2:54 – Assumption: Independence 3:12 – Assumption: Normality (Shapiro–Wilk, QQ Plot, Histogram) 3:25 – Assumption: Homogeneity of Variance (Levene’s Test) 7:25 – Handling Violations of Normality 9:17 – Adding Effect Size (Partial Eta Squared) 9:38 – Main ANOVA Results (p-value & effect size) 11:18 – Why Post Hoc Tests Are Needed 12:02 – Running Post Hoc Tests in Jamovi (Bonferroni, Tukey, etc.) 13:18 – Pairwise Comparisons Results 15:17 – Adding Plots & Estimated Marginal Means 16:22 – Visualizing Group Differences 16:27 – Key Takeaways & Wrap-Up