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A Gibbs Sampler for the Multidimensional Item Response Model
Joint Authors
Headrick, Todd C.
Sheng, Yanyan
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-05-23
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Current procedures for estimating compensatory multidimensional item response theory (MIRT) models using Markov chain Monte Carlo (MCMC) techniques are inadequate in that they do not directly model the interrelationship between latent traits.
This limits the implementation of the model in various applications and further prevents the development of other types of IRT models that offer advantages not realized in existing models.
In view of this, an MCMC algorithm is proposed for MIRT models so that the actual latent structure is directly modeled.
It is demonstrated that the algorithm performs well in modeling parameters as well as intertrait correlations and that the MIRT model can be used to explore the relative importance of a latent trait in answering each test item.
American Psychological Association (APA)
Sheng, Yanyan& Headrick, Todd C.. 2012. A Gibbs Sampler for the Multidimensional Item Response Model. ISRN Applied Mathematics،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-459013
Modern Language Association (MLA)
Sheng, Yanyan& Headrick, Todd C.. A Gibbs Sampler for the Multidimensional Item Response Model. ISRN Applied Mathematics No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-459013
American Medical Association (AMA)
Sheng, Yanyan& Headrick, Todd C.. A Gibbs Sampler for the Multidimensional Item Response Model. ISRN Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-459013
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459013