ABSTRACT
The last two chapters have dealt with the one-factor analysis of variance (ANOVA) model and various multiple comparison procedures (MCPs) for that model. In this chapter, we continue our discussion of ANOVA models by extending the one-factor case to the two-and three-factor models. This chapter seeks an answer to the following question: What should we do if there are multiple factors for which we want to make comparisons of the means? In other words, the researcher is interested in the effect of two or more independent variables or factors on the dependent (or criterion) variable. This chapter is most concerned with two-and three-factor models, but the extension to more than three factors, when warranted, is fairly simple.
