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Conference Paper: Conditional classification accuracy and consistency of cognitive diagnosis models

TitleConditional classification accuracy and consistency of cognitive diagnosis models
Authors
Iaconangelo, Cde la Torre, J
Issue Date2017
PublisherNational Council on Measurement in Education (NCME).
Citation
The Annual Meeting of National Council on Measurement in Education (NCME): Advancing Large Scale and Classroom Assessment through Research and Practice, San Antonio, TX, 26-30 April 2017 How to Cite?
AbstractAs the accuracy and consistency of an assessment are an essential part of the validity argument, indices are proposed that estimate the accuracy and consistency conditional on the latent class. Compared to the alternative, parametric Monte Carlo approaches, the indices provide easy-to-compute estimates that are close to the empirical values.
DescriptionPaper Session, E8: Test Design isssues with Diagnostic Classification Models
Persistent Identifierhttp://hdl.handle.net/10722/247978

 

DC FieldValueLanguage
dc.contributor.authorIaconangelo, C-
dc.contributor.authorde la Torre, J-
dc.date.accessioned2017-10-18T08:35:49Z-
dc.date.available2017-10-18T08:35:49Z-
dc.date.issued2017-
dc.identifier.citationThe Annual Meeting of National Council on Measurement in Education (NCME): Advancing Large Scale and Classroom Assessment through Research and Practice, San Antonio, TX, 26-30 April 2017-
dc.identifier.urihttp://hdl.handle.net/10722/247978-
dc.descriptionPaper Session, E8: Test Design isssues with Diagnostic Classification Models-
dc.description.abstractAs the accuracy and consistency of an assessment are an essential part of the validity argument, indices are proposed that estimate the accuracy and consistency conditional on the latent class. Compared to the alternative, parametric Monte Carlo approaches, the indices provide easy-to-compute estimates that are close to the empirical values.-
dc.languageeng-
dc.publisherNational Council on Measurement in Education (NCME). -
dc.relation.ispartofThe Annual Meeting of National Council on Measurement in Education-
dc.titleConditional classification accuracy and consistency of cognitive diagnosis models-
dc.typeConference_Paper-
dc.identifier.emailde la Torre, J: jdltorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.identifier.hkuros279623-
dc.publisher.placeSan Antonio, TX-

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