Matched-Pairs Tests

Kenneth J. Berry, Janis E. Johnston and Paul W. Mielke
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Kenneth J. Berry: Colorado State University, Department of Sociology
Janis E. Johnston: Alexandria
Paul W. Mielke: Colorado State University, Department of Statistics

Chapter Chapter 7 in A Primer of Permutation Statistical Methods, 2019, pp 207-255 from Springer

Abstract: Abstract This chapter introduces permutation methods for matched-pairs tests. Included in this chapter are six example analyses illustrating computation of exact permutation probability values for matched-pairs tests, calculation of measures of effect size for matched-pairs tests, the effect of extreme values on conventional and permutation matched-pairs tests, exact and Monte Carlo permutation procedures for matched-pairs tests, application of permutation methods to matched-pairs rank-score data, and analysis of matched-pairs multivariate data. Included in this chapter are permutation versions of Student’s matched-pairs t test, Wilcoxon’s signed-ranks test, the sign test, Hotelling’s multivariate T 2 test for two matched samples, and a permutation-based alternative for the two conventional measures of effect size for matched pairs: Cohen’s d ̂ $$\hat {d}$$ and Pearson’s r 2.

Date: 2019
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DOI: 10.1007/978-3-030-20933-9_7

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