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Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples book cover

1st Edition

Modeling Longitudinal and Multilevel Data Practical Issues, Applied Approaches, and Specific Examples

Edited By Todd D. Little, Kai U. Schnabel, Jrgen Baumert Copyright 2000
304 Pages
by Psychology Press

298 Pages
by Psychology Press

304 Pages
by Psychology Press
Also available as eBook on:
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.... Read more
Contents: Preface. K.U. Schnabel, T.D. Little, J. Baumert, Modeling Longitudinal and Multilevel Data. J.J. Hox, Multilevel Analyses of Grouped and Longitudinal Data. C-P. Chou, P.M. Bentler, M.A. Pentz, A Two-Stage Approach to Multilevel Structural Equation Models: Application to Longitudinal Data. R.C. MacCallum, C. Kim, Modeling Multivariate Change. J.J. McArdle, R.Q. Bell, An Introduction to Latent Growth Models for Developmental Data Analysis. R. Steyer, I. Partchev, M.J. Shanahan, Modeling True Intraindividual Change in Structural Equation Models: The Case of Poverty and Children's Psychosocial Adjustment. T. Raykov, Modeling Simultaneously Individual and Group Patterns of Ability Growth or Decline. L.M. Collins, S.L. Hyatt, J.W. Graham, Latent Transition Analysis as a Way of Testing Models of Stage-Sequential Change in Longitudinal Data. K.F. Widaman, Testing Cross-Group and Cross-Time Constraints on Parameters Using the General Linear Model. T.D. Little, U. Lindenberger, H. Maier, Selectivity and Generalizability in Longitudinal Research: On the Effects of Continuers and Dropouts. J.W. Graham, S.M. Hofer, Multiple Imputation in Multivariate Research. W. Wothke, Longitudinal and Multigroup Modeling With Missing Data. J.L. Arbuckle, Customizing Longitudinal and Multiple-Group Structural Modeling Procedures. M.C. Neale, Individual Fit, Heterogeneity, and Missing Data in Multigroup Structural Equation Modeling.

Biography

Todd D. Little (Edited by) ,  Kai U. Schnabel (Edited by) ,  Jurgen Baumert (Edited by)

"This book is well written in an accessible style, and it will clearly appeal to researchers with a social and psychological interest."
—The Statistician

"Investigators conducting longitudinal research should find this book useful."
—Journal of Mathematical Psychology

"...I consider this book to be an extremely useful resource providing a great deal of depth in the topics of multilevel and longitudinal modeling. Because many of the topics included in this book are cutting-edge methodological advances, the book will be most appreciated by researchers who already have a good grasp of multilevel and longitudinal approaches. For this group of individuals, the book will be a very valuable resource.
—Organizational Research Methods

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