Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing.
For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item se...
| Publicado en: | Educational & Psychological Measurement Vol. 79; no. 2; pp. 335 - 358 |
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| Autores principales: | , |
| Formato: | Artículo |
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Sage Publications Inc.
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=135387983&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 135387983 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: Y pubinfo: dt: Apr2019 vid: 79 iid: 2 pid: 344 pub: Sage Publications Inc. artinfo: ui: 135387983 10.1177/0013164418790634 ppf: 335 ppct: 23 formats: tig: atl: Item Selection Criteria With Practical Constraints in Cognitive Diagnostic Computerized Adaptive Testing. aug: au: Lin, Chuan-Ju Chang, Hua-Hua affil: National University of Tainan, Tainan, Taiwan University of Illinois at Urbana-Champaign, Champaign, IL, USA su: Educational tests & measurements Psychology Psychometrics Human services programs Cognition disorders diagnosis Algorithms Computer adaptive testing Mathematical models Research evaluation Statistics Data analysis sug: subj: Educational tests & measurements Psychology Psychometrics Human services programs Cognition disorders diagnosis Algorithms Computer adaptive testing Mathematical models Research evaluation Statistics Data analysis keyword: cognitive diagnostic computerized adaptive test cognitive diagnostic model item selection criteria the reduced version of RUM cognitive diagnostic computerized adaptive test cognitive diagnostic model item selection criteria the reduced version of RUM ab: For item selection in cognitive diagnostic computerized adaptive testing (CD-CAT), ideally, a single item selection index should be created to simultaneously regulate precision, exposure status, and attribute balancing. For this purpose, in this study, we first proposed an attribute-balanced item selection criterion, namely, the standardized weighted deviation global discrimination index (SWDGDI), and subsequently formulated the constrained progressive index (CP_SWDGDI) by casting the SWDGDI in a progressive algorithm. A simulation study revealed that the SWDGDI method was effective in balancing attribute coverage and the CP_SWDGDI method was able to simultaneously balance attribute coverage and item pool usage while maintaining acceptable estimation precision. This research also demonstrates the advantage of a relatively low number of attributes in CD-CAT applications. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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