Jason T. Newsom

Longitudinal Structural Equation Modeling (eBook, ePUB)

A Comprehensive Introduction

• Format: ePub

Produktbeschreibung

Longitudinal Structural Equation Modeling, Second Edition provides an in-depth, comprehensive overview of structural equation modeling (SEM) strategies for longitudinal data to help readers see which modeling options are available for which hypotheses.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 522
• Erscheinungstermin: 31. Oktober 2023
• Englisch
• ISBN-13: 9781000905984
• Artikelnr.: 69026100

Autorenporträt

Jason T. Newsom is professor of psychology at Portland State University, Portland, Oregon, USA.

Inhaltsangabe

Contents
List of Figures
List of Tables
Preface to the Second Editon
Preface to the First Edition
Acknowledgements
Example Data Sets
Chapter 1. Review of Some Key Latent Variable Principles
Chapter 2. Longitudinal Measurement Invariance
Chapter 3. Structural Models for Comparing Dependent Means and Proportions
Chapter 4. Fundamental Concepts of Stability and Change
Chapter 5. Cross-Lagged Panel Models
Chapter 6. Latent State-Trait Models
Chapter 7. Linear Latent Growth Curve Models
Chapter 8. Nonlinear Latent Growth Curve Models
Chapter 9. Nonlinear Latent Growth Curve Models
Chapter 10. Latent Class and Latent Transition
Chapter 11. Growth Mixture Models
Chapter 12. Intensive Longitudinal Models: Time Series and Dynamic
Structural Equation Models
Chapter 13. Survival Analysis Models
Chapter 14. Missing Data and Attrition
Appendix A: Notation
Appendix B: Why Does the Single Occasion Scaling Constraint Approach Work?
Appendix C: A Primer on the Calculus of Change
Glossary
Index