Randomized-Blocks Designs

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 9 in Permutation Statistical Methods with R, 2021, pp 433-497 from Springer

Abstract: Abstract This chapter introduces conventional and permutation methods for multiple matched samples, i.e., randomized-blocks designs. The chapter contains example analyses illustrating the computation of exact permutation probability values for randomized-blocks designs, calculation of measures of effect size for randomized-blocks designs, exact and Monte Carlo permutation procedures for randomized-blocks designs, and applications of permutation methods to randomized-blocks designs with rank-score data. Also included in the chapter are permutation versions of Fisher’s F test for a one-way randomized-blocks design, Friedman’s two-way analysis of variance for ranks, and a permutation-based alternative for the four conventional measures of effect size for randomized-blocks designs: Hays’ $$\hat{\omega }^{2}$$ ω ^ 2 , Pearson’s $$\eta ^{2}$$ η 2 , Cohen’s partial $$\eta ^{2}$$ η 2 , and Cohen’s $$f^{2}$$ f 2 .

Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-74361-1_9

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DOI: 10.1007/978-3-030-74361-1_9

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