File Download

There are no files associated with this item.

Supplementary

Conference Paper: A general cognitive diagnosis model for polytomous attributes

TitleA general cognitive diagnosis model for polytomous attributes
Authors
Qiu, Xde la Torre, JSantos, CKZhang, J
Issue Date2020
PublisherNational Council on Measurement in Education.
Citation
The 2020 Annual Meeting of the National Council on Measurement in Education (NCME): Making Measurement Matter, Virtual Annual Meeting, San Francisco, CA, USA, 9-11 September 2020 How to Cite?
AbstractExisting cognitive diagnosis models (CDMs) that can accommodate polytomous attributes contain a number of simplifying assumptions. This study proposes a general framework for polytomous-attribute CDMs (pCDMs) with more relaxed assumptions. The necessity of the pCDMs and parameter recovery of the proposed models are shown in two simulation studies.
DescriptionSession: Electronic Board - Electronic Board #7
Persistent Identifierhttp://hdl.handle.net/10722/284648

 

DC FieldValueLanguage
dc.contributor.authorQiu, X-
dc.contributor.authorde la Torre, J-
dc.contributor.authorSantos, CK-
dc.contributor.authorZhang, J-
dc.date.accessioned2020-08-07T09:00:40Z-
dc.date.available2020-08-07T09:00:40Z-
dc.date.issued2020-
dc.identifier.citationThe 2020 Annual Meeting of the National Council on Measurement in Education (NCME): Making Measurement Matter, Virtual Annual Meeting, San Francisco, CA, USA, 9-11 September 2020-
dc.identifier.urihttp://hdl.handle.net/10722/284648-
dc.descriptionSession: Electronic Board - Electronic Board #7-
dc.description.abstractExisting cognitive diagnosis models (CDMs) that can accommodate polytomous attributes contain a number of simplifying assumptions. This study proposes a general framework for polytomous-attribute CDMs (pCDMs) with more relaxed assumptions. The necessity of the pCDMs and parameter recovery of the proposed models are shown in two simulation studies.-
dc.languageeng-
dc.publisherNational Council on Measurement in Education.-
dc.relation.ispartofNational Council on Measurement in Education (NCME) 2020 Annual Meeting-
dc.titleA general cognitive diagnosis model for polytomous attributes-
dc.typeConference_Paper-
dc.identifier.emailQiu, X: xlqiu@hku.hk-
dc.identifier.emailde la Torre, J: j.delatorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.identifier.hkuros312188-
dc.identifier.hkuros317611-
dc.publisher.placeUnited States-

Export via OAI-PMH Interface in XML Formats

OR

Export to Other Non-XML Formats