5. Practical Structural Equation Models

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

Published Online: 18 JUL 2012

DOI: 10.1002/9781118358887.ch5

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) Practical Structural Equation 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.ch5

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:

  • practical SEMs;
  • standard SEMs, in complex data set analysis;
  • SEMs with mixed continuous/ordered categorical variables;
  • SEMs with missing data, SEMs with MAR;
  • Bayesian and data augmentation/MCMC techniques;
  • Bayesian for SEMs with mixed continuous/ordered variables;
  • ordered categorical variables, latent continuous measurements;
  • Gibbs sampler algorithm and full conditional distributions;
  • missingness patterns and sample sizes;
  • MH algorithm for SEMs with EFDs

Summary

This chapter contains sections titled:

  • Introduction

  • SEMs with continuous and ordered categorical variables

  • SEMs with variables from exponential family distributions

  • SEMs with missing data

  • Appendix 5.1: Conditional distributions and implementation of the MH algorithm for SEMs with continuous and ordered categorical variables

  • Appendix 5.2: Conditional distributions and implementation of MH algorithm for SEMs with EFDs

  • Appendix 5.3: WinBUGS code related to section 5.3.4

  • Appendix 5.4: R2WinBUGS code related to section 5.3.4

  • Appendix 5.5: Conditional distributions for SEMs with nonignorable missing data

  • References