Repeated measures and multivariate ANOVA

Content

Analysis of within-subject designs
Repeated measures and test of sphericity
Multivariate analysis of variance

Learning objectives

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

adequately modelling repeated measures
correctly interpreting tests of sphericity using software
explaining the benefits and disadvantages of repeated-measure designs
testing model assumptions in multivariate model

Readings

Chapter 9 of the course notes

Complementary readings

Zhang & Yuan (2018), pages 143–148 of the web manual
Chapters 11–13 of Maxwell et al. (2017).
Chapter 5.2 of Price et al. (2017)
Chapter 16 to 18 of Keppel & Wickens (2004)

Slides

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Code

Tip

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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/

Zhang, Z., & Yuan, K.-H. (2018). Practical statistical power analysis using Webpower and R. ISDSA Press.