File Download
There are no files associated with this item.
Links for fulltext
(May Require Subscription)
- Publisher Website: 10.1111/emip.12262
- Scopus: eid_2-s2.0-85066944868
- WOS: WOS:000470969300012
- Find via
Supplementary
- Citations:
- Appears in Collections:
Article: Digital Module 05: Diagnostic Measurement - The G‐DINA Framework https://ncme.elevate.commpartners.com
Title | Digital Module 05: Diagnostic Measurement - The G‐DINA Framework https://ncme.elevate.commpartners.com |
---|---|
Authors | |
Keywords | cognitive diagnosis models (CDMs) diagnostic classification models (DCMs) diagnostic measurement G‐DINA framework GDINA R packages |
Issue Date | 2019 |
Publisher | Wiley-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? |
Abstract | In 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 Identifier | http://hdl.handle.net/10722/289307 |
ISSN | 2023 Impact Factor: 2.7 2023 SCImago Journal Rankings: 0.822 |
ISI Accession Number ID |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Ma, W | - |
dc.contributor.author | de la Torre, J | - |
dc.date.accessioned | 2020-10-22T08:10:48Z | - |
dc.date.available | 2020-10-22T08:10:48Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Educational Measurement: Issues and Practice, 2019, v. 38 n. 2, p. 114-115 | - |
dc.identifier.issn | 0731-1745 | - |
dc.identifier.uri | http://hdl.handle.net/10722/289307 | - |
dc.description.abstract | In 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.language | eng | - |
dc.publisher | Wiley-Blackwell Publishing, Inc. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1745-3992 | - |
dc.relation.ispartof | Educational Measurement: Issues and Practice | - |
dc.rights | Preprint 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.subject | cognitive diagnosis models (CDMs) | - |
dc.subject | diagnostic classification models (DCMs) | - |
dc.subject | diagnostic measurement | - |
dc.subject | G‐DINA framework | - |
dc.subject | GDINA R packages | - |
dc.title | Digital Module 05: Diagnostic Measurement - The G‐DINA Framework https://ncme.elevate.commpartners.com | - |
dc.type | Article | - |
dc.identifier.email | de la Torre, J: j.delatorre@hku.hk | - |
dc.identifier.authority | de la Torre, J=rp02159 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1111/emip.12262 | - |
dc.identifier.scopus | eid_2-s2.0-85066944868 | - |
dc.identifier.hkuros | 317590 | - |
dc.identifier.volume | 38 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 114 | - |
dc.identifier.epage | 115 | - |
dc.identifier.isi | WOS:000470969300012 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 0731-1745 | - |