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Article: Making the most of what we have: A practical application of multidimensional item response theory in test scoring

TitleMaking the most of what we have: A practical application of multidimensional item response theory in test scoring
Authors
KeywordsAbility estimation
Issue Date2005
Citation
Journal of Educational and Behavioral Statistics, 2005, v. 30, n. 3, p. 295-311 How to Cite?
AbstractThis article proposes a practical method that capitalizes on the availability of information from multiple tests measuring correlated abilities given in a single test administration. By simultaneously estimating different abilities with the use of a hierarchical Bayesian framework, more precise estimates for each ability dimension are obtained. The efficiency of the proposed method is most pronounced when highly correlated abilities are estimated from multiple short tests. Employing Markov chain Monte Carlo techniques allows for straightforward estimation of model parameters.
Persistent Identifierhttp://hdl.handle.net/10722/228034
ISSN
2015 Impact Factor: 1.083
2015 SCImago Journal Rankings: 2.025

 

DC FieldValueLanguage
dc.contributor.authorDe La Torre, Jimmy-
dc.contributor.authorPatz, Richard J.-
dc.date.accessioned2016-08-01T06:45:01Z-
dc.date.available2016-08-01T06:45:01Z-
dc.date.issued2005-
dc.identifier.citationJournal of Educational and Behavioral Statistics, 2005, v. 30, n. 3, p. 295-311-
dc.identifier.issn1076-9986-
dc.identifier.urihttp://hdl.handle.net/10722/228034-
dc.description.abstractThis article proposes a practical method that capitalizes on the availability of information from multiple tests measuring correlated abilities given in a single test administration. By simultaneously estimating different abilities with the use of a hierarchical Bayesian framework, more precise estimates for each ability dimension are obtained. The efficiency of the proposed method is most pronounced when highly correlated abilities are estimated from multiple short tests. Employing Markov chain Monte Carlo techniques allows for straightforward estimation of model parameters.-
dc.languageeng-
dc.relation.ispartofJournal of Educational and Behavioral Statistics-
dc.subjectAbility estimation-
dc.titleMaking the most of what we have: A practical application of multidimensional item response theory in test scoring-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-27544504842-
dc.identifier.volume30-
dc.identifier.issue3-
dc.identifier.spage295-
dc.identifier.epage311-

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