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Conference Paper: A General Cognitive Diagnosis Model For Polytomous Attributes
Title | A General Cognitive Diagnosis Model For Polytomous Attributes |
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Authors | |
Issue Date | 2021 |
Citation | The 2021 National Council on Measurement in Education (NCME) Annual Meeting: Bridging Research and Practice, Virtual Meeting, 9-11 June 2021 How to Cite? |
Abstract | The pG-DINA model for polytomous attributes can benefit classroom instruction. However, it depends on a stringent assumption. This study proposes a general CDM that relaxes the assumption and allows different attribute levels to contribute differentially to the success probability. Simulation studies were conducted to evaluate the new model’s parameter recovery |
Description | Topics in Cognitive Diagnosis Modeling: Paper Session |
Persistent Identifier | http://hdl.handle.net/10722/304827 |
DC Field | Value | Language |
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dc.contributor.author | Qiu, X | - |
dc.contributor.author | de la Torre, J | - |
dc.contributor.author | Santos, C | - |
dc.date.accessioned | 2021-10-05T02:35:46Z | - |
dc.date.available | 2021-10-05T02:35:46Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | The 2021 National Council on Measurement in Education (NCME) Annual Meeting: Bridging Research and Practice, Virtual Meeting, 9-11 June 2021 | - |
dc.identifier.uri | http://hdl.handle.net/10722/304827 | - |
dc.description | Topics in Cognitive Diagnosis Modeling: Paper Session | - |
dc.description.abstract | The pG-DINA model for polytomous attributes can benefit classroom instruction. However, it depends on a stringent assumption. This study proposes a general CDM that relaxes the assumption and allows different attribute levels to contribute differentially to the success probability. Simulation studies were conducted to evaluate the new model’s parameter recovery | - |
dc.language | eng | - |
dc.relation.ispartof | National Council on Measurement in Education (NCME) 2021 Annual Meeting | - |
dc.title | A General Cognitive Diagnosis Model For Polytomous Attributes | - |
dc.type | Conference_Paper | - |
dc.identifier.email | Qiu, X: xlqiu@hku.hk | - |
dc.identifier.email | de la Torre, J: j.delatorre@hku.hk | - |
dc.identifier.authority | de la Torre, J=rp02159 | - |
dc.identifier.hkuros | 326170 | - |