Contrasts and multiple testing
Content for Friday, September 23, 2022
Content
- Contrasts
- Multiple testing
Learning objectives
At the end of the session, students should be capable of
- specifying and calculating custom contrasts in factorial designs
- determining the number of tests in a family that need to be corrected for
- understanding how to correct p-values to account for multiple testing
- listing multiplicity testing methods suitable depending on context
Readings
- Chapter 3 of Meier (2022)
- One-way ANOVA example
Complementary readings
- Chapters 4 and 6 of Keppel & Wickens (2004).
Slides
View all slides in new window Download PDF of all slides
Tip
Fun fact: If you type ? (or shift + /) while going through the slides, you can see a list of slide-specific commands.
References
Keppel, G., & Wickens, T. D. (2004). Design and analysis: A researcher’s handbook. Pearson Prentice Hall.
Meier, L. (2022). ANOVA and mixed models: A short introduction using R (Chapman & Hall/CRC, Eds.). https://doi.org/10.1201/9781003146216