Autor segons l'article: Pere J. Ferrando; Urbano Lorenzo-Seva
Departament: Psicologia
Autor/s de la URV: FERRANDO PIERA, PERE JOAN; LORENZO SEVA, URBANO
Paraules clau: kernel smoothing person-fit weighted least squares regression
Resum: 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.
Grup de recerca: Escalament de Variables Psicològiques i Desenvolupament de Qüestionaris
Àrees temàtiques: Psicologia Psicología Psychology
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0013-1644
Identificador de l'autor: 0000-0002-3133-5466; 0000-0001-5369-3099
Data d'alta del registre: 2016-05-18
Pàgina final: 486
Volum de revista: 76
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://journals.sagepub.com/doi/abs/10.1177/0013164415594659
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1177/0013164415594659
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2015
Pàgina inicial: 470
Tipus de publicació: Article Artículo Article
Repositori URV