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Article: Making the most of what we have: A practical application of multidimensional item response theory in test scoring
Title | Making the most of what we have: A practical application of multidimensional item response theory in test scoring |
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Authors | |
Keywords | Ability estimation |
Issue Date | 2005 |
Citation | Journal of Educational and Behavioral Statistics, 2005, v. 30, n. 3, p. 295-311 How to Cite? |
Abstract | This 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 Identifier | http://hdl.handle.net/10722/228034 |
ISSN | 2021 Impact Factor: 2.116 2020 SCImago Journal Rankings: 3.066 |
DC Field | Value | Language |
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dc.contributor.author | De La Torre, Jimmy | - |
dc.contributor.author | Patz, Richard J. | - |
dc.date.accessioned | 2016-08-01T06:45:01Z | - |
dc.date.available | 2016-08-01T06:45:01Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Journal of Educational and Behavioral Statistics, 2005, v. 30, n. 3, p. 295-311 | - |
dc.identifier.issn | 1076-9986 | - |
dc.identifier.uri | http://hdl.handle.net/10722/228034 | - |
dc.description.abstract | This 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.language | eng | - |
dc.relation.ispartof | Journal of Educational and Behavioral Statistics | - |
dc.subject | Ability estimation | - |
dc.title | Making the most of what we have: A practical application of multidimensional item response theory in test scoring | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.scopus | eid_2-s2.0-27544504842 | - |
dc.identifier.volume | 30 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 295 | - |
dc.identifier.epage | 311 | - |
dc.identifier.issnl | 1076-9986 | - |