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

Complementary readings

  • Chapters 8 and 14 of Maxwell et al. (2017).
  • Chapters 20–23 of Maxwell et al. (2017).

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