ABSTRACT
Analysis of variance (abbreviated ANOVA) is particularly useful when researchers want to evaluate the difference between the means of more than two groups. In this chapter, students learn how to perform an independent samples ANOVA (also referred to as a between-subjects design) for one independent variable (one-way). Variance is broken down into its component parts and the logic of the F-statistic is explained. For ANOVA tests that result in rejection of the null hypothesis, post hoc tests are required to pinpoint which means differ significantly. Students learn to evaluate the differences between means using Tukey’s Honestly Significant Difference (HSD) test. The effect size learned for significant ANOVA test results is eta squared. Instructions are also provided for using Excel to perform a one-way ANOVA.
