Autor según el artículo: Pere J. Ferrando; Urbano Lorenzo-Seva

Departamento: Psicologia

Autor/es de la URV: FERRANDO PIERA, PERE JOAN; LORENZO SEVA, URBANO

Palabras clave: kernel smoothing person-fit weighted least squares regression

Resumen: This article proposes a general parametric item response theory approach for identifying sources of misfit in response patterns that have been classified as potentially inconsistent by a global person-fit index. The approach, which is based on the weighted least squared regression of the observed responses on the model-expected responses, can be used with a variety of unidimensional and multidimensional models intended for binary, graded, and continuous responses and consists of procedures for identifying (a) general deviation trends, (b) local inconsistencies, and (c) single response inconsistencies. A free program called REG-PERFIT that implements most of the proposed techniques has been developed, described, and made available for interested researchers. Finally, the functioning and usefulness of the proposed procedures is illustrated with an empirical study based on a statistics-anxiety scale.

Grupo de investigación: Escalament de Variables Psicològiques i Desenvolupament de Qüestionaris

Áreas temáticas: Psicologia Psicología Psychology

Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/

ISSN: 0013-1644

Identificador del autor: 0000-0002-3133-5466; 0000-0001-5369-3099

Fecha de alta del registro: 2016-05-18

Página final: 486

Volumen de revista: 76

Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion

Enlace a la fuente original: https://journals.sagepub.com/doi/abs/10.1177/0013164415594659

DOI del artículo: 10.1177/0013164415594659

Entidad: Universitat Rovira i Virgili

Año de publicación de la revista: 2015

Página inicial: 470

Tipo de publicación: Article Artículo Article