Post hoc tests for the One-Way ANOVA in SPSS

After a significant one-way ANOVA in SPSS the real work begins. There needs to be clarity between which groups differences, in regard to the dependent variable exists. ➡️ Watch next:    • Effect size for post-hoc-tests of the One-...   You will do post-hoc-tests which are essentially pairwise comparisons of all the groups you have in your sample. For the one-way ANOVA this means doing t-tests. However, it is necessary to counter alpha-error inflation (and draw false positive conclusions) when testing multiple times on the same groups. Thankfully, SPSS has a routine that requires only a few clicks to request the appropriate results, even corrected for alpha-error inflation. I will show how to interpret the results and utter some words of caution for a significant one-way ANOVA and non-significant post-hoc-tests as well as why not to use post-hoc power analysis. 📚 Literature: =========== Hoenig, J. M., & Heisey, D. M. (2001). The abuse of power: the pervasive fallacy of power calculations for data analysis. The American Statistician, 55(1), 19-24. Wasserstein, R. L., & Lazar, N. A. (2016). The ASA statement on p-values: context, process, and purpose. The American Statistician, 70(2), 129-133. ⏰ Timestamps: ============== 0:00 Introduction 0:13 Using pairwise t-tests and alpha error correction 0:45 Interpreting post-hoc results 1:14 Words of caution about p-value and power If you have any questions or suggestions regarding Post-hoc tests for one-way ANOVA in SPSS, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statorials Support channel? 🙌🏼 =================== Paypal donation: https://www.paypal.com/paypalme/Bjoer... Amazon affiliate link: https://amzn.to/49BqP5H