Longitudinal Structural Equation Modeling with Mplus
eBook - ePub

Longitudinal Structural Equation Modeling with Mplus

A Latent State-Trait Perspective

  1. 344 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Longitudinal Structural Equation Modeling with Mplus

A Latent State-Trait Perspective

About this book

An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability. Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts. Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results. User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading. The companion website features data sets, annotated syntax files, and output for all of the examples.

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Yes, you can access Longitudinal Structural Equation Modeling with Mplus by Christian Geiser in PDF and/or ePUB format, as well as other popular books in Social Sciences & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Methodology in the Social Sciences
  3. Title Page
  4. Copyright Page
  5. Series Editor’s Note
  6. Preface
  7. Brief Contents
  8. Extended Contents
  9. List of Abbreviations
  10. Guide to Statistical Symbols
  11. 1 • A Measurement Theoretical Framework for Longitudinal Data: Introduction to Latent State–Trait Theory
  12. 2 • Single-Factor Longitudinal Models for Single-Indicator Data
  13. 3 • Multifactor Longitudinal Models for Single-Indicator Data
  14. 4 • Latent State Models and Measurement Equivalence Testing in Longitudinal Studies
  15. 5 • Multiple-Indicator Longitudinal Models
  16. 6 • Modeling Intensive Longitudinal Data
  17. 7 • Missing Data Handling
  18. 8 • How to Choose between Models and Report the Results
  19. References
  20. Author Index
  21. Subject Index
  22. About the Author
  23. About Guilford Press
  24. Discover Related Guilford Books