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Article: GDINA: An R Package for Cognitive Diagnosis Modeling
Title | GDINA: An R Package for Cognitive Diagnosis Modeling |
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Authors | |
Keywords | Cognitive diagnosis G-DINA model Item response theory Psychometrics |
Issue Date | 2020 |
Publisher | University 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? |
Abstract | Cognitive 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 Identifier | http://hdl.handle.net/10722/289304 |
ISSN | 2023 Impact Factor: 5.4 2023 SCImago Journal Rankings: 2.709 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Ma, W | - |
dc.contributor.author | de la Torre, J | - |
dc.date.accessioned | 2020-10-22T08:10:45Z | - |
dc.date.available | 2020-10-22T08:10:45Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Journal of Statistical Software, 2020, v. 93 n. 14, p. 1-26 | - |
dc.identifier.issn | 1548-7660 | - |
dc.identifier.uri | http://hdl.handle.net/10722/289304 | - |
dc.description.abstract | Cognitive 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.language | eng | - |
dc.publisher | University of California at Los Angeles, Department of Statistics. The Journal's web site is located at http://www.jstatsoft.org/ | - |
dc.relation.ispartof | Journal of Statistical Software | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | Cognitive diagnosis | - |
dc.subject | G-DINA model | - |
dc.subject | Item response theory | - |
dc.subject | Psychometrics | - |
dc.title | GDINA: An R Package for Cognitive Diagnosis Modeling | - |
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 | published_or_final_version | - |
dc.identifier.doi | 10.18637/jss.v093.i14 | - |
dc.identifier.scopus | eid_2-s2.0-85085769787 | - |
dc.identifier.hkuros | 317585 | - |
dc.identifier.volume | 93 | - |
dc.identifier.issue | 14 | - |
dc.identifier.spage | 1 | - |
dc.identifier.epage | 26 | - |
dc.identifier.isi | WOS:000542227600001 | - |
dc.publisher.place | United States | - |
dc.identifier.issnl | 1548-7660 | - |