In Jamovi, how can you perform a repeated measures ANOVA, and what are the key considerations for setting up the data structure and selecting the appropriate post-hoc tests?
To perform a repeated measures ANOVA in Jamovi, you can follow these steps:
Key considerations for setting up the data structure include making sure that the data is in a long format with one row per observation and that the within-subjects factor is properly coded. Each level of the within-subjects factor should have a separate column, and the values in those columns should represent the measurements taken at each level.
For selecting appropriate post-hoc tests, there are several options available depending on the research question and hypotheses. Commonly used post-hoc tests include Bonferroni, Tukey HSD, and Scheffe tests. Bonferroni test is the most conservative approach as it adjusts the significance threshold based on the number of pairwise comparisons, whereas Tukey and Scheffe tests are less conservative but can be more powerful in detecting significant differences. However, it is recommended to choose post-hoc tests based on theoretical considerations and examine effect sizes along with statistical significance when interpreting the results.
In the "Repeated measures ANOVA" approach, groups of related dependent variables that reflect several ways to assess the same attribute are analyzed. Keep in mind that it matters which order you specify the within-subjects factors. Each element forms a level within the one before it. For repeated measure ANOVA on Jamovi you may refer to the following link:
https://danawanzer.github.io/stats-with-jamovi/repeated-measures-anova.html
As for as repeated measure ANOVA post hoc testing is concerned you may explore the following link:
https://real-statistics.com/anova-repeated-measures/repeated-measures-anova-tool/repeated-measures-anova-post-hoc-testing/
Hope this is useful
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