Determining the number of attributes in cognitive diagnosis modeling
View/ Open
Date
2021-02-15Author
Estado
info:eu-repo/semantics/publishedVersionMetadata
Show full item recordAbstract
. 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.
Determining the number of attributes in cognitive diagnosis modeling
Tipo de Actividad
Artículos en revistasISSN
1664-1078Palabras Clave
.cognitive diagnostic models, dimensionality assessment, parallel analysis, machine learning, model comparison, Q-matrix validation