Introduction: The Basics of One-Way ANOVA, Between-Subjects Design
One-way analysis of variance (ANOVA) is appropriate when an analysis involves:
a single predictor variable that is measured on a nominal scale and can assume two or more values;
a single criterion variable that is measured on an interval or ratio scale.
In Chapter 8, “t Tests: Independent Samples and Paired Samples,” you learned about the independent samples t test, which you can use to determine whether there is a significant difference between two groups with regard to their respective scores on an interval- or ratio-scale criterion variable. But what if you are conducting a study in which you must compare more than just two groups? In those situations, it is often appropriate ...
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