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Article: A note on the invariance of the dina model parameters

TitleA note on the invariance of the dina model parameters
Authors
Issue Date2010
Citation
Journal of Educational Measurement, 2010, v. 47, n. 1, p. 115-127 How to Cite?
AbstractCognitive diagnosis models (CDMs), as alternative approaches to unidimensional item response models, have received increasing attention in recent years. CDMs are developed for the purpose of identifying the mastery or nonmastery of multiple fine-grained attributes or skills required for solving problems in a domain. For CDMs to receive wider use, researchers and practitioners need to understand the basic properties of these models. The article focuses on one CDM, the deterministic inputs, noisy " and" gate (DINA) model, and the invariance property of its parameters. Using simulated data involving different attribute distributions, the article demonstrates that the DINA model parameters are absolutely invariant when the model perfectly fits the data. An additional example involving different ability groups illustrates how noise in real data can contribute to the lack of invariance in these parameters. Some practical implications of these findings are discussed. © 2010 by the National Council on Measurement in Education.
Persistent Identifierhttp://hdl.handle.net/10722/228099
ISSN
2015 Impact Factor: 1.528
2015 SCImago Journal Rankings: 2.067

 

DC FieldValueLanguage
dc.contributor.authorde la Torre, Jimmy-
dc.contributor.authorLee, Young S.-
dc.date.accessioned2016-08-01T06:45:11Z-
dc.date.available2016-08-01T06:45:11Z-
dc.date.issued2010-
dc.identifier.citationJournal of Educational Measurement, 2010, v. 47, n. 1, p. 115-127-
dc.identifier.issn0022-0655-
dc.identifier.urihttp://hdl.handle.net/10722/228099-
dc.description.abstractCognitive diagnosis models (CDMs), as alternative approaches to unidimensional item response models, have received increasing attention in recent years. CDMs are developed for the purpose of identifying the mastery or nonmastery of multiple fine-grained attributes or skills required for solving problems in a domain. For CDMs to receive wider use, researchers and practitioners need to understand the basic properties of these models. The article focuses on one CDM, the deterministic inputs, noisy " and" gate (DINA) model, and the invariance property of its parameters. Using simulated data involving different attribute distributions, the article demonstrates that the DINA model parameters are absolutely invariant when the model perfectly fits the data. An additional example involving different ability groups illustrates how noise in real data can contribute to the lack of invariance in these parameters. Some practical implications of these findings are discussed. © 2010 by the National Council on Measurement in Education.-
dc.languageeng-
dc.relation.ispartofJournal of Educational Measurement-
dc.titleA note on the invariance of the dina model parameters-
dc.typeArticle-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1111/j.1745-3984.2009.00102.x-
dc.identifier.scopuseid_2-s2.0-77953743410-
dc.identifier.volume47-
dc.identifier.issue1-
dc.identifier.spage115-
dc.identifier.epage127-
dc.identifier.eissn1745-3984-

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