8. Structural Equation Modeling for Latent Curve Models

  1. Xin-Yuan Song and
  2. Sik-Yum Lee

Published Online: 18 JUL 2012

DOI: 10.1002/9781118358887.ch8

Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences

Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences

How to Cite

Song, X.-Y. and Lee, S.-Y. (2012) Structural Equation Modeling for Latent Curve Models, in Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118358887.ch8

Author Information

  1. Department of Statistics, The Chinese University of Hong Kong

Publication History

  1. Published Online: 18 JUL 2012
  2. Published Print: 24 AUG 2012

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470669525

Online ISBN: 9781118358887

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Keywords:

  • structural equation modeling for LCMs;
  • LCMs for individual differences in patterns of change;
  • LCM via SEM model feature incorporation;
  • SEM, for useful LCMs in complex dynamics;
  • Bayesian, utilizing data augmentation and MCMC;
  • cocaine use, latent variables on dynamic change;
  • continuous repeated measures;
  • LCM for PHY, PSY, SO, EN domains of HRQOL;
  • nonlinear LCM, basic LCM and nonlinear trajectories;
  • multilevel LCMs and mixture LCMs

Summary

This chapter contains sections titled:

  • Introduction

  • Background to the real studies

  • Latent curve models

  • Bayesian analysis

  • Applications to two longitudinal studies

  • Other latent curve models

  • Appendix 8.1: Conditional distributions

  • Appendix 8.2: WinBUGS code for the analysis of cocaine use data

  • References