구역 작성자: Danielle J. Navarro and David R. Foxcroft
Summary
There’s a fair bit covered in this chapter, but there’s still a lot missing. Most obviously, I haven’t discussed how to run an ANOVA when you are interested in more than one grouping variable, but that will be discussed in a lot of detail in chapter Factorial ANOVA. In terms of what we have discussed, the key topics were:
The basic logic behind how ANOVA works and how to run one in jamovi.
How to compute an effect size for an ANOVA.
The assumptions made by the ANOVA: How to check the homogeneity of variance assumption and what to do if it is violated; as well as how to check the normality assumption and what to do if it is violated.
Repeated measures ANOVA and its non-parametric equivalent, the Friedman test.
As with all of the chapters in this book, there are quite a few different sources that I’ve relied upon, but the one stand-out text that I’ve been most heavily influenced by is Sahai and Ageel (2000). It’s not a good book for beginners, but it’s an excellent book for more advanced readers who are interested in understanding the mathematics behind ANOVA.