Repeated measures

Content

  • Unbalanced designs
  • Analysis of within-subject designs
  • Repeated measures and sphericity

Learning objectives

At the end of the session, students should be capable of

  • listing the benefits of balanced designs
  • adequately modelling repeated measures
  • correctly interpreting tests of sphericity using software
  • explaining the benefits and disadvantages of repeated-measure designs

Readings

Complementary readings

  • Chapter 5.2 of Price et al. (2017)
  • Chapters 11–12 of Maxwell et al. (2017).
  • Chapters 16–18 of Keppel & Wickens (2004).

Videos

Please watch this video before class.

Slides

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Tip

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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
Price, P. C., Jhangiani, R. S., Chiang, I.-C. A., Leighton, D. C., & Cuttler, C. (2017). Research methods in psychology (3rd ed.). PressBooks. https://opentext.wsu.edu/carriecuttler/