2. Basic Concepts and Applications of Structural Equation Models

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

Published Online: 18 JUL 2012

DOI: 10.1002/9781118358887.ch2

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) Basic Concepts and Applications of 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.ch2

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:

  • SEMs, and basic concepts;
  • SEM flexible class of models, in complex modeling;
  • LISREL formulation, defining basic model;
  • linear SEMs, measurement equation and assumptions;
  • structure of factor loading matrix;
  • nonlinear SEMs, nonlinear relations of variables;
  • equation, linear variables and parameters;
  • SEMs ‘causal’ models, for causality;
  • model identification, for SEMs;
  • incorporating fixed covariates in SEMs

Summary

This chapter contains sections titled:

  • Introduction

  • Linear SEMs

  • SEMs with fixed covariates

  • Nonlinear SEMs

  • Discussion and conclusions

  • References