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Jean D. Gibbons - Nonparametric Measures of Association (Quantitative Applications in the Social Sciences)

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When analyzing data, how should the relationship between two or more sets of observations be described, that is, 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, the author clearly describes such techniques as Spearmans rho, Kendalls tau, Goodman and Kruskals gamma and Somers d and carefully explains the calculation procedures as well as the substantive meaning of each measure. In addition, each technique is illustrated by one or more examples from recent social or behavioural science studies. Finally, Gibbons provides information on the strengths and weaknesses of leading statisti

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title Nonparametric Measures of Association Sage University Papers Series - photo 1

title:Nonparametric Measures of Association Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-091
author:Gibbons, Jean Dickinson.
publisher:Sage Publications, Inc.
isbn10 | asin:0803946643
print isbn13:9780803946644
ebook isbn13:9780585217031
language:English
subjectSocial sciences--Statistical methods, Correlation (Statistics) , Nonparametric statistics.
publication date:1993
lcc:HA31.3.G53 1993eb
ddc:300/.1/51
subject:Social sciences--Statistical methods, Correlation (Statistics) , Nonparametric statistics.
Nonparametric Measures of Association
SAGE UNIVERSITY PAPERS
Series: Quantitative Applications in the Social Sciences
Series Editor: Michael S. Lewis-Beck, University of Iowa
Editorial Consultants
Richard A. Berk, Sociology, University of California, Los Angeles
William D. Berry, Political Science, Florida State University
Kenneth A. Bollen, Sociology, University of North Carolina, Chapel Hill
Linda B. Bourque, Public Health, University of California, Los Angeles
Jacques A. Hagenaars, Social Sciences, Tilburg University
Sally Jackson, Communications, University of Arizona
Richard M. Jaeger, Education, University of North Carolina, Greensboro
Gary King, Department of Government, Harvard University
Roger E. Kirk, Psychology, Baylor University
Helena Chmura Kraemer, Psychiatry and Behavioral Sciences, Stanford University
Peter Marsden, Sociology, Harvard University
Helmut Norpoth, Political Science, SUNY, Stony Brook
Frank L. Schmidt, Management and Organization, University of Iowa
Herbert Weisberg, Political Science, The Ohio State University
Publisher
Sara Miller McCune, Sage Publications, Inc.
INSTRUCTIONS TO POTENTIAL CONTRIBUTORS
For guidelines on submission of a monograph proposal to this series, please write
Michael S. Lewis-Beck, Editor
Sage QASS Series
Department of Political Science
University of Iowa
Iowa City, IA 52242
Page i
Series/Number 07-091
Nonparametric Measures of Association
Jean Dickinson Gibbons
University of Alabama
Picture 2
SAGE PUBLICATIONS
International Educational and Professional Publisher
Newbury Park London New Delhi
Page ii
Copyright 1993 by Sage Publications, Inc.
All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher.
For information address:
Picture 3
SAGE Publications, Inc
2455 Teller Road
Newbury Park, California 91320
E-mail: order@sagepub.com
SAGE Publications Ltd
6 Bonhill Street
London EC2A 4PU
United Kingdom
SAGE Publications India Pvt. Ltd
M-32 Market
Greater Kailash I
New Delhi 110 048 India
Printed in the United States of America
Gibbons, Jean Dickinson, 1938
Nonparametric measures of association / Jean Dickinson Gibbons.
p. cm.(Quantitative applications in the social sciences;
v. 91)
Includes bibliographical references.
ISBN 0-8039-4664-3
1. Social sciencesStatistical methods. 2. Correlation
(Statistics) 3. Nonparametric statistics. I. Title. II. Series:
Sage university papers series. Quantitative applications in the
social sciences; v. 91.
HA31.3.G53 1993
300'.1'51dc20 93-6480
97 98 99 00 01 10 9 8 7 6 5 4 3
Sage Production Editor: Diane S. Foster
When citing a university paper, please use the proper form. Remember to cite the current Sage University Paper series title and include the paper number. One of the following formats can be adapted (depending on the style manual used):
(1) GIBBONS, J.D. (1993) Nonparametric Measures of Association. Sage University Paper series on Quantitative Applications in the Social Sciences, 07-091. Newbury Park, CA: Sage.
OR
(2) Gibbons, J.D. (1993) Nonparametric measures of association (Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-091). Newbury Park, CA: Sage.
Page iii
Contents
Series Editor's Introduction
v
1. Introduction
1
2. Spearman's Rho and Kendall's Tau as Descriptive Measures of Association
3
Picture 4
Example 2.1
5
Picture 5
Solution to Example 2.1: Spearman's Rho
6
Picture 6
Example 2.2
9
Picture 7
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