Permutation Statistical Methods: Measures of Relationship

Janis E. Johnston · Kenneth J. Berry · Michael A. Long

Jul 2026 · Springer Nature

Ebook

123

Pages

About this ebook

This book gives a concise overview of measures of relationship, including measures of nominal-nominal association, ordinal-ordinal association, interval-interval correlation, nominal-ordinal association, nominal-interval association, ordinal-interval association, and agreement. The book emphasizes permutation statistical methods under the Fisher--Pitman model. However, the permutation analyses are always paired with conventional statistical analyses under the classical Neyman--Pearson model. The pairing allows for comparisons and contrasts between permutation and conventional analyses. Example analyses highlight the differences between the various measures and the permutation and conventional probability values. This book is a companion volume to Permutation Statistical Methods: Tests of Differences by the same authors.

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About the author

Janis E. Johnston is employed by the U.S. Government and is an Affiliate Faculty member in the Department of Sociology at Colorado State University. She is the author of 10 books and more than 40 journal articles, primarily in the areas of statistics and quantitative research methods.

Kenneth J. Berry is Professor Emeritus in the Department of Sociology at Colorado State University. His specialties are quantitative methods permutation statistics. He is the author of 12 books and more than 180 journal articles, primarily in the areas of statistics and quantitative research methods.

Michael A. Long is Professor in the Department of Sociology at Oklahoma State University. He is the author of ten books and over 100 journal articles and book chapters, primarily in the areas of environmental sociology, green criminology, food insecurity, hazards/disasters and quantitative methodology.

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