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Determining the number of attributes in cognitive diagnosis modeling

dc.contributor.authorNájera Álvarez, Pabloes-ES
dc.date.accessioned2023-09-12T07:18:41Z
dc.date.available2023-09-12T07:18:41Z
dc.date.issued2021-02-15es_ES
dc.identifier.issn1664-1078es_ES
dc.identifier.urihttps://doi.org/10.3389/fpsyg.2021.614470es_ES
dc.descriptionArtículos en revistases_ES
dc.description.abstract.es-ES
dc.description.abstractThe 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.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.rightsCreative Commons Reconocimiento-NoComercial-SinObraDerivada Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.sourceRevista: Frontiers in Psychology , Periodo: 1, Volumen: 12, Número: 614470, Página inicial: 1, Página final: 18es_ES
dc.titleDetermining the number of attributes in cognitive diagnosis modelinges_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.holderes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.keywords.es-ES
dc.keywordscognitive diagnostic models, dimensionality assessment, parallel analysis, machine learning, model comparison, Q-matrix validationen-GB


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Creative Commons Reconocimiento-NoComercial-SinObraDerivada España
Except where otherwise noted, this item's license is described as Creative Commons Reconocimiento-NoComercial-SinObraDerivada España