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Determining the number of attributes in cognitive diagnosis modeling
dc.contributor.author | Nájera Álvarez, Pablo | es-ES |
dc.date.accessioned | 2023-09-12T07:18:41Z | |
dc.date.available | 2023-09-12T07:18:41Z | |
dc.date.issued | 2021-02-15 | es_ES |
dc.identifier.issn | 1664-1078 | es_ES |
dc.identifier.uri | https://doi.org/10.3389/fpsyg.2021.614470 | es_ES |
dc.description | Artículos en revistas | es_ES |
dc.description.abstract | . | es-ES |
dc.description.abstract | The text addresses the importance of Cognitive Diagnosis Models (CDMs) and their relation to the Sustainable Development Goals (SDGs), particularly concerning the improvement of education quality and technological innovation. CDMs are tools that enable the classification of respondents into discrete attribute profiles, which can be relevant for education as it aids in understanding students' strengths and weaknesses. The accurate specification of the test's internal structure, represented by the Q-matrix, is crucial for achieving precise classification of attribute profiles. | en-GB |
dc.format.mimetype | application/pdf | es_ES |
dc.language.iso | en-GB | es_ES |
dc.rights | Creative Commons Reconocimiento-NoComercial-SinObraDerivada España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | es_ES |
dc.source | Revista: Frontiers in Psychology , Periodo: 1, Volumen: 12, Número: 614470, Página inicial: 1, Página final: 18 | es_ES |
dc.title | Determining the number of attributes in cognitive diagnosis modeling | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.rights.holder | es_ES | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.keywords | . | es-ES |
dc.keywords | cognitive diagnostic models, dimensionality assessment, parallel analysis, machine learning, model comparison, Q-matrix validation | en-GB |
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