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Conference Paper: The impact of conditional dependency and its detection on cognitive diagnosis modeling

TitleThe impact of conditional dependency and its detection on cognitive diagnosis modeling
Authors
Santos, CKPde la Torre, J
Issue Date2019
PublisherNational Council on Measurement in Education.
Citation
National Council on Measurement in Education 2019 NCME Annual Meeting & Training Sessions: Communicating with the Public about Educational Measurement, Toronto, ON, Canada, 4-8 April 2019 How to Cite?
AbstractEstimating cognitive diagnosis models (CDMs) typically assumes conditional independence. This study investigates how violating this assumption affects the validity of inferences obtained from CDMs, and how it can detected. Results indicate that conditional dependency yields biased estimates and understated standard errors, resulting in higher classification accuracy and item discrimination indices.
DescriptionPaper Session: Issues, Opportunities, and Challenges With Cognitive Diagnostic Modeling
Persistent Identifierhttp://hdl.handle.net/10722/274248

 

DC FieldValueLanguage
dc.contributor.authorSantos, CKP-
dc.contributor.authorde la Torre, J-
dc.date.accessioned2019-08-18T14:58:01Z-
dc.date.available2019-08-18T14:58:01Z-
dc.date.issued2019-
dc.identifier.citationNational Council on Measurement in Education 2019 NCME Annual Meeting & Training Sessions: Communicating with the Public about Educational Measurement, Toronto, ON, Canada, 4-8 April 2019-
dc.identifier.urihttp://hdl.handle.net/10722/274248-
dc.descriptionPaper Session: Issues, Opportunities, and Challenges With Cognitive Diagnostic Modeling-
dc.description.abstractEstimating cognitive diagnosis models (CDMs) typically assumes conditional independence. This study investigates how violating this assumption affects the validity of inferences obtained from CDMs, and how it can detected. Results indicate that conditional dependency yields biased estimates and understated standard errors, resulting in higher classification accuracy and item discrimination indices.-
dc.languageeng-
dc.publisherNational Council on Measurement in Education. -
dc.relation.ispartofNational Council on Measurement in Education (NCME) 2019 Annual Meeting & Training Sessions-
dc.titleThe impact of conditional dependency and its detection on cognitive diagnosis modeling-
dc.typeConference_Paper-
dc.identifier.emailde la Torre, J: jdltorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.identifier.hkuros302324-
dc.publisher.placeCanada-

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