Multiway factorial designs
Content
- Unbalanced designs
- Multiway factorial designs
Learning objectives
At the end of the session, students should be capable of
- listing the benefits of balanced designs
- correctly interpreting analysis of variance table
- specifying and calculating custom contrasts in multiway factorial designs
- correcting for multiple testing
Readings
- Chapter 5 of the course notes
- Two-way ANOVA example
- Three-way ANOVA example
Complementary readings
Videos
Slides
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Code
References
Keppel, G., & Wickens, T. D. (2004). Design and analysis: A researcher’s handbook. Pearson Prentice Hall.
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