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

• Chapter 8 of Maxwell et al. (2017).
• Chapters 21-22 of Keppel & Wickens (2004).

Videos

Slides

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Tip

Fun fact: If you type ? (or shift + /) while going through the slides, you can see a list of slide-specific commands.

Code

• R script
• SPSS script

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