Randomized Designs: Ordinal Data, I

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

Chapter 5 in Permutation Statistical Methods, 2016, pp 217-314 from Springer

Abstract: Abstract Chapter 5 utilizes the multi-response permutation procedures (MRPP) developed in Chap. 2 for analyzing completely randomized data at the ordinal level of measurement. The structure of the MRPP test statistic, δ, depends on the choice of v in the generalized Minkowski distance function. A variety of tests are described in this chapter, including the Wilcoxon two-sample rank-sum test, the Kruskal–Wallis multiple-sample rank-sum test, the Ansari–Bradley rank-sum test for dispersion, the Taha sum-of-squared-ranks test, the Mood rank-sum test for dispersion, the Brown–Mood median test, the Mielke power-of-rank function tests, the Whitfield two-sample rank-sum test, and the Cureton rank-biserial test.

Keywords: Multi-response Permutation Procedure (MRPP); Treatment Group Weight; Ranking Score; Mann Whitney-Wilcoxon (WMW); Exact Probability Values (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-28770-6_5

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