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

Complementary readings

  • Chapters 4 and 6 of Keppel & Wickens (2004).

Slides

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Tip

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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