Matched-Pairs Tests

Kenneth J. Berry (), Kenneth L. Kvamme, Janis E. Johnston and Paul W. Mielke, Jr.
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Kenneth J. Berry: Colorado State University, Department of Sociology
Kenneth L. Kvamme: University of Arkansas, Department of Anthropology
Paul W. Mielke, Jr.: Deceased

Chapter Chapter 7 in Permutation Statistical Methods with R, 2021, pp 295-355 from Springer

Abstract: Abstract This chapter introduces conventional and permutation methods for matched-pairs tests. The chapter contains example analyses illustrating computation of exact permutation probability values for matched-pairs tests, calculation of measures of effect size for matched-pairs tests, exact and Monte Carlo permutation procedures for matched-pairs tests, and applications of permutation methods to matched-pairs rank-score data. Also included in the chapter are permutation versions of Student’s matched-pairs t test, Wilcoxon’s signed-ranks test, and a permutation-based alternative for the two conventional measures of effect size for matched-pairs: Cohen’s $$\hat{d}$$ d ^ , and Pearson’s $$r^{2}$$ r 2 .

Date: 2021
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DOI: 10.1007/978-3-030-74361-1_7

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