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Making Fixed-Precision Between-Item Multidimensional Computerized Adaptive Tests Even Shorter by Reducing the Asymmetry Between Selection and Stopping Rules

Fixed-precision between-item multidimensional computerized adaptive tests (MCATs) are becoming increasingly popular. The current generation of item-selection rules used in these types of MCATs typically optimize a single-valued objective criterion for multivariate precision (e.g., Fisher information...

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Detalles Bibliográficos
Autores principales:	Braeken, Johan, Paap, Muirne C. S.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2020
Materias:	Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7495795/ https://www.ncbi.nlm.nih.gov/pubmed/34393302 http://dx.doi.org/10.1177/0146621620932666

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