Скачать или смотреть Significant interaction in a mixed ANOVA in R - follow-up

This video shows how to follow up a significant interaction in a mixed ANOVA in R.
➡️ Watch next:    • Reporting Mixed ANOVA - results from R  


As I already mentioned in my video for the mixed ANOVA itself (   • Mixed ANOVA in R - calculation and interpr...  ), the main effects in the mixed ANOVA output are not to be interpreted when you were able to observe an interaction of your between-subject and within-subject factor. You just found out that they depend on eachother and should therefore not be interpreted seperately.

What needs to be calculated now are estimated marginal means, meaning pairwise comparisons. This helps in determining whether 1) the groups differ at any point in time and 2) at which points in time the individual groups differ.

The emmeans-package and rstatix-package combine in delivering the emmeans_test()-function to help you investigate the interaction effect further.


⏰ Timestamps:
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0:00 Introduction
0:10 Explanation of estimated marginal means
0:27 Investigating group differences at each point in time
1:34 Investigating differences for the groups over time
2:12 Conclusion from the conducted analysis


If you have any questions or suggestions regarding mixed ANOVA in R - calculation and interpretation, please use the comment function. Thumbs up or down to decide if you found the video helpful. #statisticampc
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