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Albert M. Liebetrau - Measures of association

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Clearly reviews the properties of important contemporary measures of association and correlation. Liebetrau devotes full chapters to measures for nominal, ordinal, and continuous (interval) data, paying special attention to the sampling distributions needed to determine levels of significance and confidence intervals. Valuable discussions also focus on the relationships between various measures, the sampling properties of their estimators and the comparative advantages and disadvantages of different approaches.

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

title:Measures of Association Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-032
author:Liebetrau, Albert M.
publisher:Sage Publications, Inc.
isbn10 | asin:0803919743
print isbn13:9780803919747
ebook isbn13:9780585180977
language:English
subjectCorrelation (Statistics)
publication date:1983
lcc:HA31.3.L53 1983eb
ddc:519.5/37
subject:Correlation (Statistics)
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 1
Series / Number 07-032
Measures of Association
Albert M. Liebetrau
Battelle Pacific Northwest Laboratories
Richland, Washington
Page 2 Copyright 1983 by Sage Publications Inc All rights reserved - photo 2
Page 2
Copyright 1983 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, ncluding 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
Thousand Oaks, 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
International Standard Book Number 0-8039-1974-3
Library of Congress Catalog Card No. L.C. 83-60229
99 00 01 02 03 04 05 15 14 13 12 11
When citing a University Paper, please use the proper form. Remember to cite the correct 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) LIEBETRAU, ALBERT M. (1983) Measures of association. Sage University Papers Series on Quantitative Applications in the Social Sciences, 07-004. Newbury Park, CA: Sage.
OR
(2) Liebetrau, A. M. (1983). Measures of Association (Sage University Papers Series on Quantitative Applications in the Social Sciences, series no. 07-032), Newbury Park, CA: Sage.
Page 3
Contents
Series Editor's Introduction
5
1. Introduction
6
2. Sampling Distributions for Discrete Data
9
Picture 4
The Binomial and Multinomial Distributions
9
Picture 5
Contingency Tables
11
3. Measures of Association for Nominal Data
13
Picture 6
Measures Based on the Chi-Square Statistic
13
Picture 7
Pearson's Coefficient of Mean Square Contingency
13
Picture 8
Pearson's Contingency Coefficient and Sakoda's Modification
14
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