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Two-way ANOVA in SPSS - Interaction follow up

This tutorial shows the follow-up in an interaction for the two-factorial ANOVA in SPSS. 🎥 Carrying out and interpreting the two-factorial ANOVA in SPSS:    • Two-Way ANOVA in SPSS - calculation a...   In the case of an observable interaction, this tutorial is specifically concerned with checking which factor combinations cause differences and also whether it is possible to draw conclusions beyond the interaction - for the effects arising from the factors themselves (‘main effects’). For this purpose, the so-called estimated marginal means are requested in SPSS. In order to be able to interpret the ‘main effects’, it must also be clear what type of interaction effect can be observed. In SPSS, you can help yourself to find this out, especially graphically. A video on interaction effects and what this means for the main effects:    • 3 types of interaction effects explained   Literature ======== 📚 Wasserstein, R. L., Schirm, A. L., & Lazar, N. A. (2019). Moving to a world beyond “p◀️ 0.05”. The American Statistician, 73(sup1), 1-19. ⏰ Timestamps: ============== 0:00 Introduction 0:24 Example 0:37 Interpret Interaction 3:30 Interpret main effects If you have any questions or suggestions regarding two-way ANOVA in SPSS - interaction follow-up, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statisticampc #statorials Support channel? 🙌🏼 =================== Paypal donation: https://www.paypal.com/paypalme/Bjoer... Amazon affiliate link: https://amzn.to/49BqP5H