6. Mixture Modeling

  1. Jichuan Wang1 and
  2. Xiaoqian Wang2

Published Online: 14 AUG 2012

DOI: 10.1002/9781118356258.ch6

Structural Equation Modeling: Applications Using Mplus

Structural Equation Modeling: Applications Using Mplus

How to Cite

Wang, J. and Wang, X. (2012) Mixture Modeling, in Structural Equation Modeling: Applications Using Mplus, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118356258.ch6

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:

  • mixture modeling;
  • mixture modeling, complement to traditional variable-centered approaches;
  • LCA, model-based to cluster individuals/cases into groups;
  • example of LCA model with covariates;
  • conditional LCA model with covariates;
  • LTA model, longitudinal for changes over time of latent class variables;
  • Mplus program for 3-class LCA model;
  • extending LGM to GMM, subpopulations/groups and growth trajectories;
  • GMM model, gaining popularity in longitudinal studies;
  • FMA model, hybrid model of EFA/CFA /latent class model

Summary

This chapter contains sections titled:

  • LCA model

  • LTA model

  • Growth mixture model

  • Factor mixture model

  • Appendix 6.A Including covariate in the LTA model