Complete factorial designs
Content
- Benefits of factorial designs
- Interactions
- Simple, marginal and interaction contrasts
Learning objectives
At the end of the session, students should be capable of
- listing the benefits of factorial designs
- interpreting an interaction plot and being aware of it’s limitation
- interpreting model effects in sum-to-zero parametrization
- reporting results from a two-way analysis of variance
- determining whether or not simple or main effects are most suitable
Readings
Complementary readings
Slides
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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
Meier, L. (2022). ANOVA and mixed models: A short introduction using R (Chapman & Hall/CRC, Eds.). https://doi.org/10.1201/9781003146216