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http://hdl.handle.net/11531/83271
Título : | Reconsidering cutoff points in the general method of empirical Q-matrix validation |
Autor : | Nájera Álvarez, Pablo Sorrel, Miguel A. Abad, Francisco |
Fecha de publicación : | 1-ago-2019 |
Resumen : | . Cognitive diagnosis models (CDMs) are latent class multidimensional statistical models that help classify people accurately by using a set of discrete latent variables, commonly referred to as attributes. These models require a Q-matrix that indicates the attributes involved in each item. A potential problem is that the Q-matrix construction process, typically performed by domain experts, is subjective in nature. This might lead to the existence of Q-matrix misspecifications that can lead to inaccurate classifications. For this reason, several empirical Q-matrix validation methods have been developed in the recent years. de la Torre and Chiu proposed one of the most popular methods, based on a discrimination index. However, some questions related to the usefulness of the method with empirical data remained open due the restricted number of conditions examined, and the use of a unique cutoff point (EPS) regardless of the data conditions. This article includes two simulation studies to test this validation method under a wider range of conditions, with the purpose of providing it with a higher generalization, and to empirically determine the most suitable EPS considering the data conditions. Results show a good overall performance of the method, the relevance of the different studied factors, and that using a single indiscriminate EPS is not acceptable. Specific guidelines for selecting an appropriate EPS are provided in the discussion. |
Descripción : | Artículos en revistas |
URI : | https://doi.org/10.1177/0013164418822700 |
ISSN : | 0013-1644 |
Aparece en las colecciones: | Artículos |
Ficheros en este ítem:
Fichero | Tamaño | Formato | |
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202398124116532_GDIeps_postprint.pdf | 1,1 MB | Adobe PDF | Visualizar/Abrir Request a copy |
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