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Conference Paper: Improving classification accuracy in high dimensional data: A Four-step approach
Title | Improving classification accuracy in high dimensional data: A Four-step approach |
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Authors | |
Issue Date | 2019 |
Publisher | National Council on Measurement in Education. |
Citation | National Council on Measurement in Education 2019 NCME Annual Meeting & Training Sessions: Communicating with the Public about Educational Measurement, Toronto, ON, Canada, 4-8 April 2019 How to Cite? |
Abstract | In this study, covariates are incorporated to improve classification accuracy in large dimensional cognitive diagnostic tests. The performance of the proposed approach was examined in a simulation study. Results showed that the proposed approach could increase information obtained from CDM and improve the classification accuracy when tests are not informative. |
Description | Paper Session: Advances in Cognitive Diagnostic Modeling |
Persistent Identifier | http://hdl.handle.net/10722/274479 |
DC Field | Value | Language |
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dc.contributor.author | Sun, Y | - |
dc.contributor.author | de la Torre, J | - |
dc.date.accessioned | 2019-08-18T15:02:31Z | - |
dc.date.available | 2019-08-18T15:02:31Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | National Council on Measurement in Education 2019 NCME Annual Meeting & Training Sessions: Communicating with the Public about Educational Measurement, Toronto, ON, Canada, 4-8 April 2019 | - |
dc.identifier.uri | http://hdl.handle.net/10722/274479 | - |
dc.description | Paper Session: Advances in Cognitive Diagnostic Modeling | - |
dc.description.abstract | In this study, covariates are incorporated to improve classification accuracy in large dimensional cognitive diagnostic tests. The performance of the proposed approach was examined in a simulation study. Results showed that the proposed approach could increase information obtained from CDM and improve the classification accuracy when tests are not informative. | - |
dc.language | eng | - |
dc.publisher | National Council on Measurement in Education. | - |
dc.relation.ispartof | National Council on Measurement in Education (NCME) 2019 Annual Meeting & Training Sessions | - |
dc.title | Improving classification accuracy in high dimensional data: A Four-step approach | - |
dc.type | Conference_Paper | - |
dc.identifier.email | de la Torre, J: jdltorre@hku.hk | - |
dc.identifier.authority | de la Torre, J=rp02159 | - |
dc.identifier.hkuros | 302330 | - |