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David Knoke - Log-linear models, Volume 20

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Discusses the innovative log-linear model of statistical analysis. This model makes no distinction between independent and dependent variables, but is used to examine relationships among categoric variables by analyzing expected cell frequencies.

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title Log-linear Models Sage University Papers Series Quantitative - photo 1

title:Log-linear Models Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-020
author:Knoke, David.; Burke, Peter J.
publisher:Sage Publications, Inc.
isbn10 | asin:080391492X
print isbn13:9780803914926
ebook isbn13:9780585212180
language:English
subjectSocial sciences--Mathematical models, Political sociology--Mathematical models, Log-linear models.
publication date:1980
lcc:H61.K63 1980eb
ddc:300/.724
subject:Social sciences--Mathematical models, Political sociology--Mathematical models, Log-linear models.
Log-Linear Models
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 07-020
Log-Linear Models
David Knoke
Peter J. Burke
Indiana University
Picture 2
SAGE PUBLICATIONS
The International Professional Publishers
Newbury Park London New Delhi
Page 2
Copyright 1980 by Sage Publications, Inc.
Printed in the United States of America
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
International Standard Book Number 0-8039-1492-X
Library of Congress Catalog Card No. L.C. 80-17031
99 00 01 02 03 21 20 19 18 17
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) IVEERSEN, GUDMUND R. and NORPOTH, HELMUT (1976) "Analysis of Variance." Sage University Paper series on Quantitative Applications in the Social Sciences, 07-001. Beverly Hills and London: Sage Publications.
OR
(2) Iversen, Gudmund R. and Norpoth, Helmut. 1976. Analysis of Variance. Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-001. Beverly Hills and London: Sage Publications.
Page 3
Contents
Editor's Introduction
5
1. Relationships in Crosstabulations
8
2. The Log-Linear Model
11
Picture 4
A. Specifying Models
11
Picture 5
Saturated Models
12
Picture 6
Nonsaturated Models
17
Picture 7
B. Fitting Marginals
19
Picture 8
Generating Expected Frequencies
22
Picture 9
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