Two-Sample 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 6 in Permutation Statistical Methods with R, 2021, pp 223-294 from Springer

Abstract: Abstract This chapter introduces conventional and permutation methods for two-sample tests. The chapter contains example analyses illustrating computation of exact permutation probability values for two-sample tests, calculation of measures of effect size for two-sample tests, exact and Monte Carlo permutation procedures for two-sample tests, and the application of permutation methods to two-sample rank-score data. Also included in the chapter are permutation versions of Student’s two-sample t test, the Wilcoxon–Mann–Whitney two-sample rank-sum test, and a permutation-based alternative for the four conventional measures of effect size for two-sample tests: Cohen’s $$\hat{d}$$ d ^ , Pearson’s $$r^{2}$$ r 2 , Kelley’s $$\epsilon ^{2}$$ ϵ 2 , and Hays’ $$\hat{\omega }^{2}$$ ω ^ 2 .

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-74361-1_6

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DOI: 10.1007/978-3-030-74361-1_6

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