Comparing Multiple Dependent Groups

Rand R. Wilcox
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Rand R. Wilcox: University of Southern California, Department of Psychology

Chapter Chapter 6 in A Guide to Robust Statistical Methods, 2023, pp 135-165 from Springer

Abstract: Abstract This chapter extends methods in Chap. 4 to situations where multiple dependent groups are compared. The most basic situation is where the goal is to compare J > 2 $$J>2$$ dependent groups. That is, a one-way design is used, which is often called a repeated measures design or a within-groups design. Included here are two-way and three-way designs where one or more factors deal with dependent groups. As in previous chapters, measures of effect size, beyond using just measures of location, are described. There is even a method for comparing probabilities of categorical data that involve dependent groups.

Date: 2023
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DOI: 10.1007/978-3-031-41713-9_6

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