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1 results

  • A Robust Bayesian Approach for Structural Equation Models with Missing Data

  • Sik-Yum Lee, Ye-Mao Xia
  • Journal:
    Psychometrika / Volume 73 / Issue 3 / September 2008
    Published online by Cambridge University Press:
    01 January 2025, pp. 343-364

  • In this paper, normal/independent distributions, including but not limited to the multivariate t distribution, the multivariate contaminated distribution, and the multivariate slash distribution, are used to develop a robust Bayesian approach for analyzing structural equation models with complete or missing data. In the context of a nonlinear structural equation model with fixed covariates, robust Bayesian methods are developed for estimation and model comparison. Results from simulation studies are reported to reveal the characteristics of estimation. The methods are illustrated by using a real data set obtained from diabetes patients.