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Conference Paper: Improving attribute classification accuracy in high dimensional data: A three-step latent regression approach

TitleImproving attribute classification accuracy in high dimensional data: A three-step latent regression approach
Other TitlesA Three-Step Approach to Improving Inferences in Cognitive Diagnosis Modeling
Authors
de la Torre, J
Issue Date2018
Citation
Graduate Institute of Educational Measurement and Statistics Colloquium, National Taichung University of Education, Taiwan, 22 June 2018 How to Cite?
DescriptionInvited presentation
Persistent Identifierhttp://hdl.handle.net/10722/270300

 

DC FieldValueLanguage
dc.contributor.authorde la Torre, J-
dc.date.accessioned2019-05-27T03:30:44Z-
dc.date.available2019-05-27T03:30:44Z-
dc.date.issued2018-
dc.identifier.citationGraduate Institute of Educational Measurement and Statistics Colloquium, National Taichung University of Education, Taiwan, 22 June 2018-
dc.identifier.urihttp://hdl.handle.net/10722/270300-
dc.descriptionInvited presentation-
dc.languageeng-
dc.relation.ispartofNational Taichung University of Education, Graduate Institute of Educational Measurement and Statistics Colloquium-
dc.titleImproving attribute classification accuracy in high dimensional data: A three-step latent regression approach-
dc.title.alternativeA Three-Step Approach to Improving Inferences 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.hkuros288975-

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