2. Confirmatory Factor Analysis

  1. Jichuan Wang1 and
  2. Xiaoqian Wang2

Published Online: 14 AUG 2012

DOI: 10.1002/9781118356258.ch2

Structural Equation Modeling: Applications Using Mplus

Structural Equation Modeling: Applications Using Mplus

How to Cite

Wang, J. and Wang, X. (2012) Confirmatory Factor Analysis, in Structural Equation Modeling: Applications Using Mplus, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118356258.ch2

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:

  • confirmatory factor analysis (CFA);
  • latent variables unobservable, from observed indicators/items;
  • CFA, relationships among factors, based on empirical findings;
  • CFA, fundamental to SEM;
  • model identification, three indicators for single-factor CFA model;
  • CFA model with continuous indicators;
  • CFA with non-normal/censored data, testing non-normality;
  • CFA model with non-normal indicators;
  • selected Mplus output, non-normality test;
  • CFA model with categorical indicators

Summary

This chapter contains sections titled:

  • Basics of CFA model

  • CFA model with continuous indicators

  • CFA model with non-normal and censored continuous indicators

  • CFA model with categorical indicators

  • Higher order CFA model

  • Appendix 2.A BSI-18 instrument

  • Appendix 2.B Item reliability

  • Appendix 2.C Cronbach's alpha coefficient

  • Appendix 2.D Calculating probabilities using PROBIT regression coefficients