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Susan C. Weller - Sage university papers: Quantitative applications in the social sciences

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This book presents a set of closely-related techniques that facilitate the visual exploration and display of a wide variety of multivariate data, both categorical and continuous. Three methods of metric scaling - correspondence analysis, principal components analysis and multiple dimensional preference scaling - are explored in detail for their strengths and weaknesses over a wide range of data types and research situations. The book focuses upon representing the relations among two or more sets of variables, and upon applications that are exploratory in nature rather than predictive.

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title Metric Scaling Correspondence Analysis Sage University Papers - photo 1

title:Metric Scaling : Correspondence Analysis Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-075
author:Weller, Susan C.; Romney, A. Kimball
publisher:Sage Publications, Inc.
isbn10 | asin:0803937504
print isbn13:9780803937505
ebook isbn13:9780585180984
language:English
subjectScaling (Social sciences) , Multidimensional scaling.
publication date:1990
lcc:H61.27.W45 1990eb
ddc:300/.72
subject:Scaling (Social sciences) , Multidimensional scaling.
Metric Scaling
Correspondence Analysis
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 07-075
Metric Scaling
Correspondence Analysis
Susan C. Weller
University of Texas
A. Kimball Romney
University of California
Page 2 Copyright 1990 by Sage Publications Inc All rights reserved - photo 2
Page 2
Copyright 1990 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
International Standard Book Number 0-8039-3750-4
Library of Congress Catalog Card No. L.C. 90-8731
98 99 00 01 10 9 8 7 6 5 4
Sage Production Editor: Susan McElroy
When citing a university paper, please use the proper form. Remember to cite the 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) HENKEL, RAMON E. (1976) Tests of Significance. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-004. Newbury Park, CA: Sage.
OR
(2) Henkel, R. E. (1976). Tests of significance (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-04). Newbury Park, CA: Sage.
Page 3
Contents
Series Editor's Introduction
5
1. Introduction
7
Picture 4
Some Sample Results
7
Picture 5
Some Background Comments
13
Picture 6
The Central Unifying Theme of the Monograph
16
2. The Basic Structure of a Data Matrix
17
Picture 7
Basic Structure of a Matrix
17
Picture 8
Transformations
23
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