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Conference Paper: The accordion procedure: A method for accommodating a large number of attributes in cognitive diagnosis modeling

TitleThe accordion procedure: A method for accommodating a large number of attributes in cognitive diagnosis modeling
Authors
Issue Date2018
Citation
Education Technology and Computational Psychometrics Symposium 2018: Innovative Solutions in Theory and Practice, Iowa City, IA. USA, 3-4 October 2018 How to Cite?
AbstractCognitive diagnosis models (CDMs) aim to provide diagnostic and actionable feedback on a set of attributes. The study proposes the accordion procedure (AP) as a solution to the problem in situations where it is reasonable to assume that the attributes can be partitioned into nonoverlapping subsets. AP focuses on diagnosing one set of attributes at a time while collapsing attributes from other domains as coarser attributes.
DescriptionPoster presentation
Persistent Identifierhttp://hdl.handle.net/10722/298810

 

DC FieldValueLanguage
dc.contributor.authorde la Torre, J-
dc.contributor.authorSun, Y-
dc.date.accessioned2021-04-12T04:52:14Z-
dc.date.available2021-04-12T04:52:14Z-
dc.date.issued2018-
dc.identifier.citationEducation Technology and Computational Psychometrics Symposium 2018: Innovative Solutions in Theory and Practice, Iowa City, IA. USA, 3-4 October 2018-
dc.identifier.urihttp://hdl.handle.net/10722/298810-
dc.descriptionPoster presentation-
dc.description.abstractCognitive diagnosis models (CDMs) aim to provide diagnostic and actionable feedback on a set of attributes. The study proposes the accordion procedure (AP) as a solution to the problem in situations where it is reasonable to assume that the attributes can be partitioned into nonoverlapping subsets. AP focuses on diagnosing one set of attributes at a time while collapsing attributes from other domains as coarser attributes.-
dc.languageeng-
dc.relation.ispartofEducation Technology and Computational Psychometrics Symposium, 2018-
dc.titleThe accordion procedure: A method for accommodating a large number of attributes in cognitive diagnosis modeling-
dc.typeConference_Paper-
dc.identifier.emailde la Torre, J: jdltorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.identifier.hkuros302335-

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