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N-Way ANOVA
Introduction
You can construct ANOVA models with more than one independent variable. One of the most popular models is called a factorial model. In a factorial model, you compute variances for each independent variable as well as interaction terms.
When you run an analysis of variance with more than one independent variable, you can look at the role of each variable after controlling for any variability attributed to the other variables. This gives you a better chance of understanding the unique role of each variable in the model. Things get a bit complicated if the effect of one variable interacts with the effect of another variable or variables. This is known as an interaction, and you will see later in this chapter how to ...
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