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Scott William Menard - Longitudinal Research (Quantitative Applications in the Social Sciences)

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This accessible, interdisciplinary and non-technical approach to longitudinal research identifies ways in which longitudinal research crosses the barriers between disciplines. The author covers a wide variety of subjects ranging from the differences between longitudinal and cross-sectional research in terms of consistency and accuracy of results to issues that may affect the quality of longitudinal data.

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title Longitudinal Research Sage University Papers Series Quantitative - photo 1

title:Longitudinal Research Sage University Papers Series. Quantitative Applications in the Social Sciences ; No. 07-076
author:Menard, Scott W.
publisher:Sage Publications, Inc.
isbn10 | asin:0803937539
print isbn13:9780803937536
ebook isbn13:9780585212203
language:English
subjectSocial sciences--Research--Longitudinal studies.
publication date:1991
lcc:H62.M39 1991eb
ddc:300/.72
subject:Social sciences--Research--Longitudinal studies.
Longitudinal Research
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 i
Series / Number 07-076
Longitudinal Research
Scott Menard
Institute of Behavioral Science
University of Colorado, Boulder
Picture 2
SAGE PUBLICATIONS
The International Professional Publishers
Newbury Park London New Delhi
Page ii
Copyright 1991 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 Cataloging-in-Publication Data
International Standard Book Number 0-8039-3753-9
Library of Congress Catalog Card No. 90-20103
99 00 01 02 03 11 10 09 08
Sage Production Editor: Judith Hunter
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) WELLER, S. C., & ROMNEY, A. K. (1986) Metric Scaling: Correspondence Analysis. Sage University Paper Series on Quantitative Applications in the Social Sciences, 07-075. Newbury Park, CA: Sage.
OR
(2) Weller, S. C., & Romney, A. K. (1986) Metric scaling: Correspondence analysis (Sage University Paper Series on Quantitative Applications in the Social Sciences, series no. 07-075). Newbury Park, CA: Sage.
Page iii
Contents
Series Editor's Introduction
1
1. Introduction
3
Picture 4
Definition
4
2. The Purposes of Longitudinal Research
5
Picture 5
Age, Period, and Cohort Effects
6
Picture 6
Causal Relationships
17
Picture 7
Serendipity and Intentionality in Longitudinal Data
20
3. Designs for Longitudinal Data Collection
22
Picture 8
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