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Conference Paper: Cognitive Diagnosis Modeling: A General Framework Approach and Its Implementation in R

TitleCognitive Diagnosis Modeling: A General Framework Approach and Its Implementation in R
Authors
Issue Date2019
Citation
Annual Meeting & Training Sessions of National Council on Measurement in Education (NCME), 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.
DescriptionTraining and Professional Development Workshop - Issues,Opportunities, and Challenges With Cognitive Diagnostic Modeling
Persistent Identifierhttp://hdl.handle.net/10722/295717

 

DC FieldValueLanguage
dc.contributor.authorde la Torre, J-
dc.contributor.authorMa, W-
dc.date.accessioned2021-02-05T09:35:44Z-
dc.date.available2021-02-05T09:35:44Z-
dc.date.issued2019-
dc.identifier.citationAnnual Meeting & Training Sessions of National Council on Measurement in Education (NCME), Toronto, ON, Canada, 4-8 April 2019-
dc.identifier.urihttp://hdl.handle.net/10722/295717-
dc.descriptionTraining and Professional Development Workshop - 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.relation.ispartofNational Council on Measurement in Education (NCME) Annual Meeting & Training Sessions, 2019-
dc.titleCognitive Diagnosis Modeling: A General Framework Approach and Its Implementation in R-
dc.typeConference_Paper-
dc.identifier.emailde la Torre, J: jdltorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.identifier.hkuros302337-

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