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Article: GDINA: An R Package for Cognitive Diagnosis Modeling

TitleGDINA: An R Package for Cognitive Diagnosis Modeling
Authors
KeywordsCognitive diagnosis
G-DINA model
Item response theory
Psychometrics
Issue Date2020
PublisherUniversity of California at Los Angeles, Department of Statistics. The Journal's web site is located at http://www.jstatsoft.org/
Citation
Journal of Statistical Software, 2020, v. 93 n. 14, p. 1-26 How to Cite?
AbstractCognitive diagnosis models (CDMs) have attracted increasing attention in educational measurement because of their potential to provide diagnostic feedback about students' strengths and weaknesses. This article introduces the feature-rich R package GDINA for conducting a variety of CDM analyses. Built upon a general model framework, a number of CDMs can be calibrated using the GDINA package. Functions are also available for evaluating model-data fit, detecting differential item functioning, validating the item and attribute association, and examining classification accuracy. A grapical user interface is also provided for researchers who are less familar with R. This paper contains both technical details about model estimation and illustrations about how to use the package for data analysis. The GDINA package is also used to replicate published results, showing that it could provide comparable model parameter estimation.
Persistent Identifierhttp://hdl.handle.net/10722/289304
ISSN
2019 Impact Factor: 13.642
2015 SCImago Journal Rankings: 2.970

 

DC FieldValueLanguage
dc.contributor.authorMa, W-
dc.contributor.authorde la Torre, J-
dc.date.accessioned2020-10-22T08:10:45Z-
dc.date.available2020-10-22T08:10:45Z-
dc.date.issued2020-
dc.identifier.citationJournal of Statistical Software, 2020, v. 93 n. 14, p. 1-26-
dc.identifier.issn1548-7660-
dc.identifier.urihttp://hdl.handle.net/10722/289304-
dc.description.abstractCognitive diagnosis models (CDMs) have attracted increasing attention in educational measurement because of their potential to provide diagnostic feedback about students' strengths and weaknesses. This article introduces the feature-rich R package GDINA for conducting a variety of CDM analyses. Built upon a general model framework, a number of CDMs can be calibrated using the GDINA package. Functions are also available for evaluating model-data fit, detecting differential item functioning, validating the item and attribute association, and examining classification accuracy. A grapical user interface is also provided for researchers who are less familar with R. This paper contains both technical details about model estimation and illustrations about how to use the package for data analysis. The GDINA package is also used to replicate published results, showing that it could provide comparable model parameter estimation.-
dc.languageeng-
dc.publisherUniversity of California at Los Angeles, Department of Statistics. The Journal's web site is located at http://www.jstatsoft.org/-
dc.relation.ispartofJournal of Statistical Software-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCognitive diagnosis-
dc.subjectG-DINA model-
dc.subjectItem response theory-
dc.subjectPsychometrics-
dc.titleGDINA: An R Package for Cognitive Diagnosis Modeling-
dc.typeArticle-
dc.identifier.emailde la Torre, J: j.delatorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.18637/jss.v093.i14-
dc.identifier.scopuseid_2-s2.0-85085769787-
dc.identifier.hkuros317585-
dc.identifier.volume93-
dc.identifier.issue14-
dc.identifier.spage1-
dc.identifier.epage26-
dc.publisher.placeUnited States-

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