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Nonparametric Measures of Association

ISBN-10: 0803946643
ISBN-13: 9780803946644
Edition: 1993
List price: $22.00 Buy it from $5.53
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Description: "This compact and highly readable volume presents Spearman's and Kendall's rank correlation and coefficients, Kendall's coefficients of concordance and of partial correlation, and several association measures for ordered contingency tables. . . .  More...

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Book details

List price: $22.00
Copyright year: 1993
Publisher: SAGE Publications, Incorporated
Publication date: 2/25/1993
Binding: Paperback
Pages: 104
Size: 5.50" wide x 8.50" long x 0.30" tall
Weight: 0.462
Language: English

"This compact and highly readable volume presents Spearman's and Kendall's rank correlation and coefficients, Kendall's coefficients of concordance and of partial correlation, and several association measures for ordered contingency tables. . . . This inexpensive and lucid text offers a good introduction, or a quick review, of methods of rank correlation. It should prove beneficial to the practitioner who selects from and interprets the many measures produced by modern statistical packages." --Journal of the American Statistical Association When analyzing your data, how should you describe the relationship (or, association) between two or more sets of observations, i.e., values of two or more variables, when the variables are ordinal and not bivariate normal? Aimed at helping the researcher select the most appropriate measure of association for two or more variables, Jean Dickinson Gibbons clearly describes such techniques as Spearman's rho, Kendall's tau, Goodman & Kruskals' gamma, and Somer's d. She also carefully explains the calculation procedures as well as the substantive meaning of each measure (such as that rho is based on rankings while tau is based on paired comparisons). In addition, each technique is illustrated by one or more examples from recent social or behavioral science studies. Lastly, Gibbons provides information on the strengths and weaknesses of leading statistical packages for calculating these measures.

Lokenath Debnath is Professor of the Department of Mathematics and Professor of Mechanical and Aerospace Engineering at the University of Central Florida in Orlando. He received his M.Sc. and Ph.D. degrees in pure mathematics from the University of Calcutta, and obtained D.I.C. and Ph.D. degrees in applied mathematics from the Imperial College of Science and Technology, University of London. He was a Senior Research Fellow at the University of Cambridge and has had visiting appointments to several universities in the United States and abroad. His many honors and awards include two Senior Fulbright Fellowships and an NSF Scientist award to visit India for lectures and research. Dr. Debnath is author or co-author of several books and research papers in pure and applied mathematics, and serves on several editorial boards for scientific journals. He is the current and founding Managing Editor of the International Journal of Mathematics and Mathematical Sciences.

Introduction
Spearman's Rho and Kendall's Tau as Descriptive Measures of Association
Inferences Based on Rho and Tau
Kendall's Coefficient of Concordance
Partial Correlation
Measures of Association in Ordered Contingency Tables
Summary

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