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New Statistical Technique Revolutionizes Understanding of Group Differences

Single‐Variable Between‐Subjects Research
Christopher J. L. Cunningham, Bart L. Weathington, David J. Pittenger

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The chapter discusses how researchers use a statistical technique called analysis of variance (ANOVA) to study the effects of different levels of a single factor on outcomes. ANOVA helps to compare the variation within groups to the variation between groups, which can show if there are significant differences in means. By using ANOVA, researchers can determine if there are differences in group scores due to the independent variable being studied. Post hoc tests like Tukey's HSD can then identify which group means are significantly different from each other.