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Title Modeling longitudinal and multilevel data : practical issues, applied approaches, and specific examples / edited by Todd D. Little, Kai U. Schnabel, Jürgen Baumert
Published Mahwah, N.J. : Lawrence Erlbaum Associates, 2000
Online access available from:
ProQuest Ebook Central    View Resource Record  


Description 1 online resource (vii, 297 pages) : illustrations
Contents Chapter 1 Modeling Longitudinal and Multilevel Data / Kai Uwe Schnabel -- chapter 2 Multilevel Analyses of Grouped and Longitudinal Data / Joop J. Hox -- chapter 3 A Two-Stage Approach to Multilevel Structural Equation Models: Application to Longitudinal Data -- chapter 4 Modeling Multivariate Change / Robert C. MacCallum -- chapter 5 An Introduction to Latent Growth Models for Developmental Data Analysis -- chapter 6 Modeling True Intraindividual Change in Structural Equation Models: The Case of Poverty and Children's Psychosocial Adjustment -- chapter 7 Modeling Simultaneously Individual and Group Patterns of Ability Growth or Decline -- chapter 8 Latent Transition Analysis as a Way of Testing Models of Stage-Sequential Change in Longitudinal Data -- chapter 9 Testing Cross-Group and Cross-Time Constraints on Parameters Using the General Linear Model -- chapter 10 Selectivity and Generalizability in Longitudinal Research: On the Effects of Continuers and Dropouts -- chapter 11 Multiple Imputation in Multivariate Research / John W. Graham -- chapter 12 Longitudinal and Multigroup Modeling with Missing Data / Werner Wothke -- chapter 13 Customizing Longitudinal and Multiple-Group Structural Modeling Procedures -- chapter 4 teen: Individual Fit, Heterogeneity, and Missing Data in Multigroup Structural Equation Modeling
Summary 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (EBSCOhost, viewed October 21, 2019)
Subject Longitudinal method
Social sciences -- Statistical methods
Longitudinal method.
SOCIAL SCIENCE -- Methodology.
Social sciences -- Statistical methods.
Form Electronic book
Author Baumert, Jürgen, 1941-
Little, Todd D.
Schnabel, Kai Uwe.
ISBN 0585346682