Chapter 9
Comparing More Than Two Groups with ANOVA
IN THIS CHAPTER
Comparing groups using One-Way ANOVA
Using post hoc tests
Viewing error bar charts
This chapter is an extension of Chapter 8, where we discuss t-tests, which are used when the dependent variable is continuous and the independent variable has two categories. In this chapter, we talk about the One-Way Analysis of Variance (ANOVA) procedure, which is a direct extension of the independent samples t-test. One-Way ANOVA is used when you have a continuous dependent variable and the independent variable has two or more categories (for example, control group, treatment group 1, treatment group 2, and so on), thus letting you know which groups score higher or lower than the others. For example, you might want to use ANOVA to know whether customer groups differ in attitude toward a product or service; or different drugs more effectively reduce depression levels; or which promotional campaigns produce the largest sales.
Running the One-Way ANOVA Procedure
ANOVA is a general method of drawing conclusions regarding differences in population means when two or more comparison groups are involved. The independent-samples t-test ...
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