1. Introduction

  1. Jichuan Wang1 and
  2. Xiaoqian Wang2

Published Online: 14 AUG 2012

DOI: 10.1002/9781118356258.ch1

Structural Equation Modeling: Applications Using Mplus

Structural Equation Modeling: Applications Using Mplus

How to Cite

Wang, J. and Wang, X. (2012) Introduction, in Structural Equation Modeling: Applications Using Mplus, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118356258.ch1

Author Information

  1. 1

    Children's National Medical Center, The George Washington University, USA

  2. 2

    Mobley Group Pacific Ltd., P.R. China

Publication History

  1. Published Online: 14 AUG 2012
  2. Published Print: 7 SEP 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: 9781119978299

Online ISBN: 9781118356258

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Keywords:

  • model formulation;
  • measurement and structural integration, a SEM produced;
  • SEM, measurement error in observed variables in model;
  • SEM assessing quality of measurement, and causal relationships;
  • specification of a model, to be estimated;
  • latent variables, assessed in measurement models;
  • model identification, over-identified SEM in SEM applications;
  • SEM model estimation, different from multiple regressions;
  • key features of SEM, model fitting test on basic hypothesis;
  • model modification, with modification indices (MIs)

Summary

This chapter contains sections titled:

  • Model formulation

  • Model identification

  • Model estimation

  • Model evaluation

  • Model modification

  • Computer programs for SEM

  • Appendix 1.A Expressing variances and covariances among observed variables as functions of model parameters

  • Appendix 1.B Maximum likelihood function for SEM