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Book Chapter: Cognitive diagnosis modeling: An overview and illustration
Title | Cognitive diagnosis modeling: An overview and illustration |
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Authors | |
Issue Date | 2018 |
Publisher | Philippine Educational Measurement & Evaluation Association. |
Citation | Cognitive diagnosis modeling: An overview and illustration. In Magno, C. and David, A. (Eds.), Philippine and global perspective on educational assessment, v. 1, p. 88-110. Manila: Philippine Educational Measurement & Evaluation Association, 2018 How to Cite? |
Abstract | In conjunction with appropriately designed test, cognitive diagnosis models (CDMs) can be used to identify students’ mastery or nonmastery of skills in a domain. The diagnostic and finer-grained information from CDMs can lead to tailored instruction and remediation. In this chapter, we introduce the generalized deterministic input, noisy “and” gate (G-DINA) model as a general CDM framework. In addition to various CDM formulations, the G-DINA model framework subsumes parameter
estimation, model fit evaluation, Q-matrix validation, differential item functioning analysis, and classification accuracy estimation. Using empirically based simulated data, we illustrate how CDM analysis can be performed using the GDINA R package. |
Persistent Identifier | http://hdl.handle.net/10722/274303 |
DC Field | Value | Language |
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dc.contributor.author | Santos, KC | - |
dc.contributor.author | de la Torre, J | - |
dc.date.accessioned | 2019-08-18T14:59:04Z | - |
dc.date.available | 2019-08-18T14:59:04Z | - |
dc.date.issued | 2018 | - |
dc.identifier.citation | Cognitive diagnosis modeling: An overview and illustration. In Magno, C. and David, A. (Eds.), Philippine and global perspective on educational assessment, v. 1, p. 88-110. Manila: Philippine Educational Measurement & Evaluation Association, 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10722/274303 | - |
dc.description.abstract | In conjunction with appropriately designed test, cognitive diagnosis models (CDMs) can be used to identify students’ mastery or nonmastery of skills in a domain. The diagnostic and finer-grained information from CDMs can lead to tailored instruction and remediation. In this chapter, we introduce the generalized deterministic input, noisy “and” gate (G-DINA) model as a general CDM framework. In addition to various CDM formulations, the G-DINA model framework subsumes parameter estimation, model fit evaluation, Q-matrix validation, differential item functioning analysis, and classification accuracy estimation. Using empirically based simulated data, we illustrate how CDM analysis can be performed using the GDINA R package. | - |
dc.language | eng | - |
dc.publisher | Philippine Educational Measurement & Evaluation Association. | - |
dc.relation.ispartof | Philippine and global perspective on educational assessment | - |
dc.title | Cognitive diagnosis modeling: An overview and illustration | - |
dc.type | Book_Chapter | - |
dc.identifier.email | de la Torre, J: jdltorre@hku.hk | - |
dc.identifier.authority | de la Torre, J=rp02159 | - |
dc.identifier.hkuros | 302307 | - |
dc.identifier.volume | 1 | - |
dc.identifier.spage | 88 | - |
dc.identifier.epage | 110 | - |
dc.publisher.place | Manila | - |