Randomized Block Designs: Nominal Data

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 11 in Permutation Statistical Methods, 2016, pp 543-584 from Springer

Abstract: Abstract Chapter 11 utilizes the multivariate randomized-block permutation procedures (MRBP) developed in Chap. 8 for analyzing randomized-block data at the nominal level of measurement. The structure of the MRBP 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 Cohen’s unweighted kappa measure of chance-corrected agreement, McNemar’s test for change, Cochran’s Q test for change, Yule’s Q measure, the odds ratio, Somers’ d xy and d yx asymmetric measures of association, Pearson’s product-moment correlation coefficient, percentage differences, and chi-squared.

Keywords: Contingency Table; Frequency Data; Permutation Method; Discordant Pair; Unstandardized Regression Coefficient (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-28770-6_11

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DOI: 10.1007/978-3-319-28770-6_11

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