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Article: An empirically based method of Q-matrix validation for the DINA model: Development and applications

TitleAn empirically based method of Q-matrix validation for the DINA model: Development and applications
Authors
Issue Date2008
Citation
Journal of Educational Measurement, 2008, v. 45, n. 4, p. 343-362 How to Cite?
AbstractMost model fit analyses in cognitive diagnosis assume that a Q matrix is correct after it has been constructed, without verifying its appropriateness. Consequently, any model misfit attributable to the Q matrix cannot be addressed and remedied. To address this concern, this paper proposes an empirically based method of validating a Q matrix used in conjunction with the DINA model. The proposed method can be implemented with other considerations such as substantive information about the items, or expert knowledge about the domain, to produce a more integrative framework of Q-matrix validation. The paper presents the theoretical foundation for the proposed method, develops an algorithm for its practical implementation, and provides real and simulated data applications to examine its viability. Relevant issues regarding the implementation of the method are discussed. © 2008 by the National Council on Measurement in Education.
Persistent Identifierhttp://hdl.handle.net/10722/228067
ISSN
2015 Impact Factor: 1.528
2015 SCImago Journal Rankings: 2.067

 

DC FieldValueLanguage
dc.contributor.authorDe La Torre, Jimmy-
dc.date.accessioned2016-08-01T06:45:06Z-
dc.date.available2016-08-01T06:45:06Z-
dc.date.issued2008-
dc.identifier.citationJournal of Educational Measurement, 2008, v. 45, n. 4, p. 343-362-
dc.identifier.issn0022-0655-
dc.identifier.urihttp://hdl.handle.net/10722/228067-
dc.description.abstractMost model fit analyses in cognitive diagnosis assume that a Q matrix is correct after it has been constructed, without verifying its appropriateness. Consequently, any model misfit attributable to the Q matrix cannot be addressed and remedied. To address this concern, this paper proposes an empirically based method of validating a Q matrix used in conjunction with the DINA model. The proposed method can be implemented with other considerations such as substantive information about the items, or expert knowledge about the domain, to produce a more integrative framework of Q-matrix validation. The paper presents the theoretical foundation for the proposed method, develops an algorithm for its practical implementation, and provides real and simulated data applications to examine its viability. Relevant issues regarding the implementation of the method are discussed. © 2008 by the National Council on Measurement in Education.-
dc.languageeng-
dc.relation.ispartofJournal of Educational Measurement-
dc.titleAn empirically based method of Q-matrix validation for the DINA model: Development and applications-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1745-3984.2008.00069.x-
dc.identifier.scopuseid_2-s2.0-57049152984-
dc.identifier.volume45-
dc.identifier.issue4-
dc.identifier.spage343-
dc.identifier.epage362-
dc.identifier.eissn1745-3984-

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