Автор раздела: Danielle J. Navarro and David R. Foxcroft

Summary

There is a fair bit covered in this chapter, but there is still a lot missing. Most obviously, I have not 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.

• Post-hoc analysis and corrections for multiple testing.

• 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 have relied upon, but the one stand-out text that I have been most heavily influenced by is Sahai and Ageel (2000). It is not a good book for beginners, but it is an excellent book for more advanced readers who are interested in understanding the mathematics behind ANOVA.