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Article: Digital Module 05: Diagnostic Measurement - The G‐DINA Framework https://ncme.elevate.commpartners.com

TitleDigital Module 05: Diagnostic Measurement - The G‐DINA Framework https://ncme.elevate.commpartners.com
Authors
Keywordscognitive diagnosis models (CDMs)
diagnostic classification models (DCMs)
diagnostic measurement
G‐DINA framework
GDINA R packages
Issue Date2019
PublisherWiley-Blackwell Publishing, Inc. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1745-3992
Citation
Educational Measurement: Issues and Practice, 2019, v. 38 n. 2, p. 114-115 How to Cite?
AbstractIn this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.
Persistent Identifierhttp://hdl.handle.net/10722/289307
ISSN
2021 Impact Factor: 1.402
2020 SCImago Journal Rankings: 1.158
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorMa, W-
dc.contributor.authorde la Torre, J-
dc.date.accessioned2020-10-22T08:10:48Z-
dc.date.available2020-10-22T08:10:48Z-
dc.date.issued2019-
dc.identifier.citationEducational Measurement: Issues and Practice, 2019, v. 38 n. 2, p. 114-115-
dc.identifier.issn0731-1745-
dc.identifier.urihttp://hdl.handle.net/10722/289307-
dc.description.abstractIn this ITEMS module, we introduce the generalized deterministic inputs, noisy “and” gate (G‐DINA) model, which is a general framework for specifying, estimating, and evaluating a wide variety of cognitive diagnosis models. The module contains a nontechnical introduction to diagnostic measurement, an introductory overview of the G‐DINA model, as well as common special cases, and a review of model‐data fit evaluation practices within this framework. We use the flexible GDINA R package, which is available for free within the R environment and provides a user‐friendly graphical interface in addition to the code‐driven layer. The digital module also contains videos of worked examples, solutions to data activity questions, curated resources, a glossary, and quizzes with diagnostic feedback.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing, Inc. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1745-3992-
dc.relation.ispartofEducational Measurement: Issues and Practice-
dc.rightsPreprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. Postprint This is the peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article using the DOI]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.-
dc.subjectcognitive diagnosis models (CDMs)-
dc.subjectdiagnostic classification models (DCMs)-
dc.subjectdiagnostic measurement-
dc.subjectG‐DINA framework-
dc.subjectGDINA R packages-
dc.titleDigital Module 05: Diagnostic Measurement - The G‐DINA Framework https://ncme.elevate.commpartners.com-
dc.typeArticle-
dc.identifier.emailde la Torre, J: j.delatorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/emip.12262-
dc.identifier.scopuseid_2-s2.0-85066944868-
dc.identifier.hkuros317590-
dc.identifier.volume38-
dc.identifier.issue2-
dc.identifier.spage114-
dc.identifier.epage115-
dc.identifier.isiWOS:000470969300012-
dc.publisher.placeUnited States-
dc.identifier.issnl0731-1745-

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