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- Publisher Website: 10.1111/j.1745-3984.2009.00092.x
- Scopus: eid_2-s2.0-71549122894
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Article: Impact of diagnosticity on the adequacy of models for cognitive diagnosis under a linear attribute structure: A simulation study
Title | Impact of diagnosticity on the adequacy of models for cognitive diagnosis under a linear attribute structure: A simulation study |
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Authors | |
Issue Date | 2009 |
Citation | Journal of Educational Measurement, 2009, v. 46, n. 4, p. 450-469 How to Cite? |
Abstract | Compared to unidimensional item response models (IRMs), cognitive diagnostic models (CDMs) based on latent classes represent examinees' knowledge and item requirements using discrete structures. This study systematically examines the viability of retrofitting CDMs to IRM-based data with a linear attribute structure. The study utilizes a procedure to make the IRM and CDM frameworks comparable and investigates how estimation accuracy is affected by test diagnosticity and the match between the true and fitted models. The study shows that comparable results can be obtained when highly diagnostic IRM data are retrofitted with CDM, and vice versa, retrofitting CDMs to IRM-based data in some conditions can result in considerable examinee misclassification, and model fit indices provide limited indication of the accuracy of item parameter estimation and attribute classification. © 2009 by the National Council on Measurement in Education. |
Persistent Identifier | http://hdl.handle.net/10722/228091 |
ISSN | 2023 Impact Factor: 1.4 2023 SCImago Journal Rankings: 0.755 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | De La Torre, Jimmy | - |
dc.contributor.author | Karelitz, Tzur M. | - |
dc.date.accessioned | 2016-08-01T06:45:10Z | - |
dc.date.available | 2016-08-01T06:45:10Z | - |
dc.date.issued | 2009 | - |
dc.identifier.citation | Journal of Educational Measurement, 2009, v. 46, n. 4, p. 450-469 | - |
dc.identifier.issn | 0022-0655 | - |
dc.identifier.uri | http://hdl.handle.net/10722/228091 | - |
dc.description.abstract | Compared to unidimensional item response models (IRMs), cognitive diagnostic models (CDMs) based on latent classes represent examinees' knowledge and item requirements using discrete structures. This study systematically examines the viability of retrofitting CDMs to IRM-based data with a linear attribute structure. The study utilizes a procedure to make the IRM and CDM frameworks comparable and investigates how estimation accuracy is affected by test diagnosticity and the match between the true and fitted models. The study shows that comparable results can be obtained when highly diagnostic IRM data are retrofitted with CDM, and vice versa, retrofitting CDMs to IRM-based data in some conditions can result in considerable examinee misclassification, and model fit indices provide limited indication of the accuracy of item parameter estimation and attribute classification. © 2009 by the National Council on Measurement in Education. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Educational Measurement | - |
dc.title | Impact of diagnosticity on the adequacy of models for cognitive diagnosis under a linear attribute structure: A simulation study | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1111/j.1745-3984.2009.00092.x | - |
dc.identifier.scopus | eid_2-s2.0-71549122894 | - |
dc.identifier.volume | 46 | - |
dc.identifier.issue | 4 | - |
dc.identifier.spage | 450 | - |
dc.identifier.epage | 469 | - |
dc.identifier.eissn | 1745-3984 | - |
dc.identifier.isi | WOS:000272381200005 | - |
dc.identifier.issnl | 0022-0655 | - |