Using the Stan Program for Bayesian Item Response Theory.

Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three repres...

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Publicado en:Educational & Psychological Measurement Vol. 78; no. 3; pp. 384 - 409
Autores principales: Yong Luo, Hong Jiao
Formato: Artículo
Publicado: Sage Publications Inc. Jun2018
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Yong Luo
          Hong Jiao
        affil:
          National Center for Assessment in Higher Education, Riyadh, Saudi Arabia
          University of Maryland, College Park, MD, USA
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        Psychometrics
        Algorithms
        Comparative studies
        Computer software
        Statistics
        Sample size (Statistics)
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          Psychometrics
          Computer, computer peripheral and pre-packaged software merchant wholesalers
          Computer and Computer Peripheral Equipment and Software Merchant Wholesalers
          Computer and software stores
          Software publishers (except video game publishers)
          Algorithms
          Comparative studies
          Computer software
          Statistics
          Sample size (Statistics)
          Data analysis
          Medical coding
          Statistical models
          Descriptive statistics
      keyword:
        Bayesian
        item response theory (IRT)
        Markov chain Monte Carlo (MCMC)
        Bayesian
        item response theory (IRT)
        Markov chain Monte Carlo (MCMC)
      ab: Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the three-parameter logistic IRT model, the graded response model, and the nominal response model. We demonstrate how IRT model comparison can be conducted with Stan and how the provided Stan code for simple IRT models can be easily extended to their multidimensional and multilevel cases.
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    language: English
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