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E-grāmata: Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples

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  • Formāts: 304 pages
  • Izdošanas datums: 01-Jan-2000
  • Izdevniecība: Psychology Press Ltd
  • Valoda: eng
  • ISBN-13: 9781135675936
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Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific ExamplesPalielināt
  • Formāts: 304 pages
  • Izdošanas datums: 01-Jan-2000
  • Izdevniecība: Psychology Press Ltd
  • Valoda: eng
  • ISBN-13: 9781135675936
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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.

Recenzijas

"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

Preface vii
1 Modeling Longitudinal and Multilevel Data
9(6)
Kai Uwe Schnabel
Todd D. Little
Jurgen Baumert
2 Multilevel Analyses of Grouped and Longitudinal Data
15(18)
Joop J. Hox
3 A Two-Stage Approach to Multilevel Structural Equation Models: Application to Longitudinal Data
33(18)
Chih-Ping Chou
Peter M. Bentler
Mary Ann Pentz
4 Modeling Multivariate Change
51(18)
Robert C. MacCallum
Cheongtag Kim
5 An Introduction to Latent Growth Models for Developmental Data Analysis
69(40)
John J McArdle
Richard Q. Bell
6 Modeling True Intraindividual Change in Structural Equation Models: The Case of Poverty and Children's Psychosocial Adjustment
109(18)
Rolf Steyer
Ivailo Partchev
Michael J. Shanahan
7 Modeling Simultaneously Individual and Group Patterns of Ability Growth or Decline
127(20)
Tenko Raykov
8 Latent Transition Analysis as a Way of Testing Models of Stage-Sequential Change in Longitudinal Data
147(16)
Linda M. Collins
Stephanie L. Hyatt
John W. Graham
9 Testing Cross-Group and Cross-Time Constraints on Parameters Using the General Linear Model
163(24)
Keith F. Widaman
10 Selectivity and Generalizability in Longitudinal Research: On the Effects of Continuers and Dropouts
187(14)
Todd D. Little
Ulman Lindenberger
Heiner Maier
11 Multiple Imputation in Multivariate Research
201(18)
John W. Graham
Scott M. Hofer
12 Longitudinal and Multigroup Modeling With Missing Data
219(22)
Werner Wothke
13 Customizing Longitudinal and Multiple-Group Structural Modeling Procedures
241(8)
James L. Arbuckle
14 Individual Fit, Heterogeneity, and Missing Data in Multigroup Structural Equation Modeling
249(20)
Michael C. Neale
References 269(14)
Author Index 283(6)
Subject Index 289(4)
About the Authors 293
Todd D. Little (Edited by) ,  Kai U. Schnabel (Edited by) ,  Jurgen Baumert (Edited by)
Biežāk uzdotie jautājumi par e-grāmatām Biežāk uzdotie jautājumi par e-grāmatām
Permanent link: https://www.kriso.lv/db/97811356759366e.html
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