13. Transformation Structural Equation Models

  1. Xin-Yuan Song and
  2. Sik-Yum Lee

Published Online: 18 JUL 2012

DOI: 10.1002/9781118358887.ch13

Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences

Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences

How to Cite

Song, X.-Y. and Lee, S.-Y. (2012) Transformation Structural Equation Models, in Basic and Advanced Bayesian Structural Equation Modeling: With Applications in the Medical and Behavioral Sciences, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9781118358887.ch13

Author Information

  1. Department of Statistics, The Chinese University of Hong Kong

Publication History

  1. Published Online: 18 JUL 2012
  2. Published Print: 24 AUG 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: 9780470669525

Online ISBN: 9781118358887

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Keywords:

  • transformation SEMs;
  • SEM analysis with nonnormal data;
  • transforming response variables, for model assumptions;
  • Box–Cox transformations, for nonnormality of data;
  • transformation SEM, simultaneous, nonnormal data and stabilizing error;
  • modeling nonparametric transformations;
  • simulation study, transformation SEM performance;
  • transformation SEM with Bayesian P-splines, in data set reanalysis;
  • drug use severity, drug retention and future drug use effects

Summary

This chapter contains sections titled:

  • Introduction

  • Model description

  • Modeling nonparametric transformations

  • Identifiability constraints and prior distributions

  • Posterior inference with MCMC algorithms

  • Simulation study

  • A study on the intervention treatment of polydrug use

  • Discussion

  • References