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When a Two-Way ANOVA shows significant differences, researchers still need to determine which specific groups differ from each other. This is where post-hoc multiple comparison tests such as Tukey HSD become essential. In this tutorial from the Stata: From Beginners to Expert series, I demonstrate how to run and interpret the Tukey Multiple Comparison Test after Two-Way ANOVA in Stata. The video explains the workflow researchers commonly use to identify statistically significant pairwise group differences and report results correctly in academic research. This video is useful for: • Master’s thesis and PhD students • Policy analysts and applied researchers • Public health, education, and social science researchers • Anyone using Stata for experimental or quasi-experimental data analysis Post-hoc tests such as Tukey HSD are widely used in policy evaluation, education research, and applied social science to identify which groups actually differ after ANOVA detects overall variation. 📘 Book for deeper understanding My book Applied ANOVA in Stata: A Practical Guide for Students and Researchers explains how to understand, interpret, and report ANOVA results clearly, using reproducible Stata code and real research examples. The book covers: • When one-way ANOVA is appropriate • How to interpret ANOVA tables and F-statistics • Post-hoc tests such as Tukey and Bonferroni • Assumption checks and robust alternatives • Writing clear, journal-ready results sections 👉 https://www.amazon.com/Applied-ANOVA-Stata-Practical-Researchers-ebook/dp/B0GDS1NKNH If you need help with your thesis, dissertation, or applied data project, feel free to contact me. LinkedIn: https://www.linkedin.com/in/belal-hossain-phd-28428013b/
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