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Jae-On Kim - Factor Analysis: Statistical Methods and Practical Issues (Quantitative Applications in the Social Sciences)

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    Factor Analysis: Statistical Methods and Practical Issues (Quantitative Applications in the Social Sciences)
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Describes various commonly used methods of initial factoring and factor rotation. In addition to a full discussion of exploratory factor analysis, confirmatory factor analysis and various methods of constructing factor scales are also presented.

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title Factor Analysis Statistical Methods and Practical Issues Sage - photo 1

title:Factor Analysis : Statistical Methods and Practical Issues Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-014
author:Kim, Jae-on.; Mueller, Charles W.
publisher:Sage Publications, Inc.
isbn10 | asin:0803911661
print isbn13:9780803911666
ebook isbn13:9780585163598
language:English
subjectFactor analysis.
publication date:1978
lcc:HA33.K53 1978eb
ddc:519.5/4
subject:Factor analysis.
Factor Analysis
Statistical Methods and Practical Issues
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 Welsberg, 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 07-014
Factor Analysis
Statistical Methods and Practical Issues
Jae-On Kim
Charles W. Mueller
University of Iowa
Picture 2
SAGE PUBLICATIONS
The International Professional Publishers
Newbury Park London New Delhi
Page 2
Copyright 1978 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 0-8039-1166-1
Library of Congress Catalog Card No. L.C. 78-64332
99 00 01 02 28 27 26 25 24
When citing a professional paper, please use the proper form. Remember to cite the correct Sage University Paper series title and include the paper number. One of the two following formats can be adapted (depending on the style manual used):
(1) Iversen, G.R., & Norpoth, H. (1976). Analysis of variance (Sage University Paper series on Quantitative Applications in the Social Sciences, No. 07-001). Beverly Hills, CA: Sage.
OR
(2) Iversen, G. R., & Norpoth, H. 1976. Analysis of variance. Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-001. Beverly Hills, CA: Sage.
Page 3
Contents
Editor's Introduction
5
I. Introduction
7
Picture 4
Review of Factor Analysis Basics
8
Picture 5
Basic Strategies and Methods to be Covered
11
II. Methods of Extracting Initial Factors
12
Picture 6
Principal Components, Eigenvalues and Vectors
14
Picture 7
Variants in the Common Factor Model
21
Picture 8
Least Squares Approach
21
Picture 9
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