7. Sample Size for Structural Equation Modeling

  1. Jichuan Wang1 and
  2. Xiaoqian Wang2

Published Online: 14 AUG 2012

DOI: 10.1002/9781118356258.ch7

Structural Equation Modeling: Applications Using Mplus

Structural Equation Modeling: Applications Using Mplus

How to Cite

Wang, J. and Wang, X. (2012) Sample Size for Structural Equation Modeling, in Structural Equation Modeling: Applications Using Mplus, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118356258.ch7

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:

  • sample size for SEM;
  • SEM, large sample approach;
  • rules of thumb, for sample size needed for SEM;
  • sample size determination, number of indicator variables;
  • Satorra and Saris's method for sample size estimation;
  • Satorra and Saris's method, application to CFA model;
  • hypothesized CFA, in estimating statistical power/sample size;
  • Monte Carlo simulation for sample size estimation;
  • Monte Carlo simulation in LGM;
  • MacCallum, Browne and Sugawara's method

Summary

This chapter contains sections titled:

  • The rules of thumb for sample size needed for SEM

  • Satorra and Saris's method for sample size estimation

  • Monte Carlo simulation for sample size estimation

  • Estimate sample size for SEM based on model fit indices