A Bayesian generalized multiple group IRT model with model-fit assessment tools

@article{Azevedo2012ABG,
  title={A Bayesian generalized multiple group IRT model with model-fit assessment tools},
  author={Caio L. N. Azevedo and Dalton F. Andrade and Jean-Paul Fox},
  journal={Computational Statistics & Data Analysis},
  year={2012},
  volume={56},
  pages={4399-4412}
}
The multiple group IRT model (MGM) proposed by Bock and Zimowski (1997) provides a useful framework for analyzing item response data from clustered respondents. In the MGM, the selected groups of respondents are of specific interest such that group-specific population distributions need to be defined. The main goal is to explore the potentials of an MCMC estimation procedure and Bayesian model-fit tools for the MGM. We develop a full Gibbs sampling algorithm (FGSA) for estimation as well as a… CONTINUE READING
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