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Jacques A. Hagenaars - Loglinear Models with Latent Variables (Quantitative Applications in the Social Sciences)

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Loglinear Models with Latent Variables (Quantitative Applications in the Social Sciences): summary, description and annotation

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In recent years the loglinear model has become the dominant form of categorical data analysis as researchers have expanded it into new directions. This book shows researchers the applications of one of these new developments - how uniting ordinary loglinear analysis and latent class analysis into a general loglinear model with latent variables can result in a modified LISREL approach. This modified LISREL model will enable researchers to analyze categorical data in the same way that they have been able to use LISREL to analyze continuous data.

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Loglinear Models with Latent Variables title Loglinear Models - photo 1
Loglinear Models with Latent Variables

title:Loglinear Models With Latent Variables Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-094
author:Hagenaars, Jacques A.
publisher:Sage Publications, Inc.
isbn10 | asin:0803943105
print isbn13:9780803943100
ebook isbn13:9780585180960
language:English
subjectLog-linear models, Latent variables.
publication date:1993
lcc:QA278.H333 1993eb
ddc:519.5/35
subject:Log-linear models, Latent variables.
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. Schmldt, 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 i
Series/Number 07-094
Loglinear Models with Latent Variables
Jacques A. Hagenaars
Tilburg University
Picture 2
SAGE PUBLICATIONS
International Educational and Professional Publisher
Newbury Park London New Delhi
Page ii
Copyright 1993 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
Library of Congress Catalog Card No. 89-043409
Hagenaars, Jacques A.
Loglinear models with latent variables / Jacques A. Hagenaars.
p. cm.(A Sage university papers series. Quantitative
applications in the social sciences; 07-094)
Includes bibliographical references.
ISBN 0-8039-4310-5 (pbk.)
1. Loglinear models. 2. Latent variables. I. Title.
II. Series: Sage university papers series. Quantitative
applications in the social sciences; 07-094.
QA278.H333 1993 93-21639
519.5'35dc20
97 98 99 00 01 10 9 8 7 6 5 4 3
Sage Production Editor: Susan McElroy
When citing a university paper, please use the proper form. Remember to cite the current 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) HAGENAARS, JACQUES A. (1993) Loglinear Models With Latent Variables. Sage University Paper series on Quantitative Applications in the Social Sciences, 07-094. Newbury Park, CA: Sage.
OR
(2) Hagenaars, J. A. (1993). Loglinear models with latent variables (Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-094). Newbury Park, CA: Sage.
Page iii
Contents
Series Editor's Introduction
iv
1. Introduction
1
2. The Loglinear Model
3
Picture 4
Odds and Odds Ratios
3
Picture 5
Saturated Loglinear Models
7
Picture 6
Nonsaturated Loglinear Models
12
Picture 7
Logit or Effect Models
13
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