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William D. Berry - Multiple regression in practice

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Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. The authors discuss: the consequences of violating the assumptions of the regression model; procedures for detecting when such violations occur; and strategies for dealing with these problems when they arise. The monograph was written without the use of matrix algebra, and numerous examples are provided from political science, sociology, and economics.

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title Multiple Regression in Practice Sage University Papers Series - photo 1

title:Multiple Regression in Practice Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-050
author:Berry, William Dale.; Feldman, Stanley.
publisher:Sage Publications, Inc.
isbn10 | asin:0803920547
print isbn13:9780803920545
ebook isbn13:9780585217000
language:English
subjectRegression analysis, Social sciences--Statistical methods.
publication date:1985
lcc:QA278.2.B47 1985eb
ddc:519.5/36
subject:Regression analysis, Social sciences--Statistical methods.
Multiple Regression in Practice
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 07-050
Multiple Regression in Practice
William D. Berry
Stanley Feldman
University of Kentucky
Picture 2
SAGE PUBLICATIONS
The International Professional Publishers
Newbury Park London New Delhi
Page 2
Copyright 1985 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 0-8039-2054-7
Library of Congress Catalog Card No. 85-050543
99 00 01 02 19 18 17 16 15
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) IVERSEN, GUDMUND R. and NORPOTH, HELMUT (1976) Analysis of Variance. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-001. Newbury Park, 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). Newbury Park, CA: Sage.
Page 3
Contents
Series Editor's Introduction
5
Introduction
7
Acknowledgment
8
1. The Multiple Regression Model: A Review
9
2. Specification Error
18
Picture 4
Consequences of Specification Error
18
Picture 5
An Illustration of Specification Error: Satisfaction with Life
22
Picture 6
Detecting and Dealing with Specification Error
25
3. Measurement Error
26
Picture 7
Consequences of Measurement Error
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