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Conference Paper: Standard error estimation using bootstrap approaches for cognitive diagnosis models

TitleStandard error estimation using bootstrap approaches for cognitive diagnosis models
Authors
Gao, WMa, Wde 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?
AbstractExisting procedures for estimating standard errors of item parameters for cognitive diagnosis models have some limitations. This study evaluates the performance of bootstrap resampling approach in estimating standard errors under various conditions. Both simulated and real data are considered in this study.
DescriptionElectronic Board Session, Paper Session, C10
Persistent Identifierhttp://hdl.handle.net/10722/247977

 

DC FieldValueLanguage
dc.contributor.authorGao, W-
dc.contributor.authorMa, W-
dc.contributor.authorde la Torre, J-
dc.date.accessioned2017-10-18T08:35:48Z-
dc.date.available2017-10-18T08:35:48Z-
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/10722/247977-
dc.descriptionElectronic Board Session, Paper Session, C10-
dc.description.abstractExisting procedures for estimating standard errors of item parameters for cognitive diagnosis models have some limitations. This study evaluates the performance of bootstrap resampling approach in estimating standard errors under various conditions. Both simulated and real data are considered in this study.-
dc.languageeng-
dc.publisherNational Council on Measurement in Education (NCME). -
dc.relation.ispartofThe Annual Meeting of National Council on Measurement in Education-
dc.titleStandard error estimation using bootstrap approaches for cognitive diagnosis models-
dc.typeConference_Paper-
dc.identifier.emailde la Torre, J: jdltorre@hku.hk-
dc.identifier.authorityde la Torre, J=rp02159-
dc.identifier.hkuros279622-
dc.publisher.placeSan Antonio, TX-

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