ABSTRACT
In Chapter 9 a one-way between-groups ANOVA, which is the appropriate procedure for comparing differences among more than two interval- or ratio-measured means of the independent variable is presented. Emphasis is placed on a mathematical illustration of how ANOVA works. Also, various multiple comparison procedures used to investigate mean differences following a significant F-test with ANOVA are presented. In addition, an illustration is presented to substantiate that the fact that the t-test, ANOVA, and PPM correlation calculations all result in identical conclusions when appropriately applied to the same set of data. Finally, an examination of an important concept called effect size is explained and then how it is used to help determine whether a relationship is practically important is discussed.
