Randomized 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 7 in Permutation Statistical Methods, 2016, pp 367-419 from Springer

Abstract: Abstract Chapter 7 utilizes the Multi-Response Permutation Procedures (MRPP) developed in Chap. 2 for analyzing completely randomized data at the nominal (categorical) 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 Goodman and Kruskal’s t a and t b asymmetric measures of nominal association, Light and Margolin’s categorical analysis of variance, and tests to analyze multiple binary choices.

Keywords: Distance Function; Frequency Data; Permutation Method; Nominal Association; Response Arrangement (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-3-319-28770-6_7

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