Multiway and multivariate factorial designs
Content
- ANOVA with two or more factors
- ANOVA with both within-subject and between-subject factors
- Multivariate analysis of variance
Learning objectives
At the end of the session, students should be capable of
- analyzing models with both within-subject and between-subject factors
- specifying and calculating custom contrasts in multiway factorial designs
- correctly interpreting an analysis of variance table
- testing model assumptions in multivariate model
Readings
- Chapter 7 of the course notes
- Chapter 8 of the course notes
- Three-way ANOVA example
- MANOVA example
Complementary readings
Slides
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Code
Tip
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References
Maxwell, S. E., Delaney, H. D., & Kelley, K. (2017). Designing experiments and analyzing data: A model comparison perspective (3rd ed.). routledge. https://doi.org/10.4324/9781315642956