Todd D. Little - Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
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Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
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This book focuses on the practical issues and approaches to handling longitudinal and multilevel data. All data sets and the corresponding command files are available via the Web. The working examples are available in the four major SEM packages--LISREL, EQS, MX, and AMOS--and two Multi-level packages--HLM and MLn. All equations and figural conventions are standardized across each contribution. The material is accessible to practicing researchers and students. Users can compare and contrast various analytic approaches to longitudinal and multiple-group data including SEM, Multi-level, LTA, and standard GLM techniques. Ideal for graduate students and practicing researchers in social and behavioral sciences.
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Modeling Longitudinal and Multilevel Data : Practical Issues, Applied Approaches, and Specific Examples
author
:
Little, Todd D.
publisher
:
Lawrence Erlbaum Associates, Inc.
isbn10 | asin
:
0805830545
print isbn13
:
9780805830545
ebook isbn13
:
9780585346687
language
:
English
subject
Social sciences--Statistical methods, Longitudinal method.
publication date
:
2000
lcc
:
HA29.M67 2000eb
ddc
:
300/.1/5195
subject
:
Social sciences--Statistical methods, Longitudinal method.
Page 3
Modeling Longitudinal and Multilevel Data
Practical Issues, Applied Approaches and Specific Examples
Edited by Todd D. Little
Yale University
Kai U. Schnabel Jrgen Baumert
Max Planck Institute for Human Development
Page 4
Copyright 2000, by Lawrence Erlbaum Associates, Inc. All rights reserved. No part of the book may be reproduced in any form, by photostat, microform, retrieval system, or any other means, without prior written permission of the publisher.
Library of Congress Cataloging-in-Publication Data Modeling longitudinal and multilevel data : practical issues, applied approaches, and specific examples / edited by Todd D. Little, Kai-Uwe Schnabel, Jrgen Baumert. p. cm. ISBN 0-8058-3054-5 (cloth : alk. paper) 1. Social sciencesStatistical methods 2. Longitudinal method. I. Little, Todd D. II. Schnabel, Kai-Uwe. III. Baumert QA76.76.E95S32 2000 006.3'31dc21 97-5613 CIP
Books published by Lawrence Erlbaum Associates are printed on acid-free paper, and their bindings are chosen for strength and durability.
The final camera copy for this book was prepared by the author and therefore the publisher takes no responsibility for consistency or correctness of typographical style.
Printed in the United States of America 10 9 8 7 6 5 4 3 2 1
Page 5
Contents
Preface
7
1 Modeling Longitudinal and Multilevel Data
Kai Uwe Schnabel, Todd D. Little, and Jrgen Baumert
9
2 Multilevel Analyses of Grouped and Longitudinal Data
Joop J. Hox
15
3 A Two-Stage Approach to Multilevel Structural Equation Models: Application to Longitudinal Data
Chih-Ping Chou, Peter M. Bentler, and Mary Ann Pentz
33
4 Modeling Multivariate Change
Robert C. MacCallum and Cheongtag Kim
51
5 An Introduction to Latent Growth Models for Developmental Data Analysis
John J. McArdle and Richard Q. Bell
69
6 Modeling True Intraindividual Change in Structural Equation Models: The Case of Poverty and Children's Psychosocial Adjustment
Rolf Steyer, Ivailo Partchev, and Michael J. Shanahan
109
7 Modeling Simultaneously Individual and Group Patterns of Ability Growth or Decline
Tenko Raykov
127
8 Latent Transition Analysis As a Way of Testing Models of Stage-Sequential Change in Longitudinal Data
Linda M. Collins, Stephanie L. Hyatt, and John W. Graham
147
Page 6
9 Testing Cross-Group and Cross-Time Constraints on Parameters Using the General Linear Model
Keith F. Widaman
163
10 Selectivity and Generalizability in Longitudinal Research: On the Effects of Continuers and Dropouts
Todd D. Little, Ulman Lindenberger, and Heiner Maier
187
11 Multiple Imputation in Multivariate Research
John W. Graham and Scott M. Hofer
201
12 Longitudinal and Multigroup Modeling with Missing Data
Werner Wothke
219
13 Customizing Longitudinal and Multiple-Group Structural Modeling Procedures
James L. Arbuckle
241
14 Individual Fit, Heterogeneity, and Missing Data in Multigroup Structural Equation Modeling
Michael C. Neale
249
References
269
Author Index
283
Subject Index
289
About the Authors
293
Page 7
Preface
As with any undertaking of this magnitude, the list of persons to whom we are endebted is long and the degree of endebtedness is deep. At the beginning and throughout, the generous financial support by the Max Planck Institute for Human Development in Berlin made this project possible. The Institute funded the 1998 Berlin Summer School Conference on Multilevel and Longitudinal Modeling, supported the assembly of this volume, and helps to maintain the web page ( http://www.mpib-berlin.mpg.de/research_resources/index.html ). On the basis of the comments and enthusiasm of the participants as well as the presenters, we felt that a comprehensive volume on these issues was needed. We are particularly grateful to Dagmar Stenzel for editing and type-setting the contributions. We also appreciate the support and advice of Larry Erlbaum and his crack team at LEA throughout this process. Finally, the diligence and timeliness of all contributors can not be thanked enough. The efforts, patience, and expertise of all involved has brought a volume that we hope will become a standard reference for social sciences researchers.
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