Author, as appears in the article.: Pere J. Ferrando; Urbano Lorenzo-Seva
Department: Psicologia
URV's Author/s: FERRANDO PIERA, PERE JOAN; LORENZO SEVA, URBANO
Keywords: kernel smoothing person-fit weighted least squares regression
Abstract: 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.
Research group: Escalament de Variables Psicològiques i Desenvolupament de Qüestionaris
Thematic Areas: Psicologia Psicología Psychology
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0013-1644
Author identifier: 0000-0002-3133-5466; 0000-0001-5369-3099
Record's date: 2016-05-18
Last page: 486
Journal volume: 76
Papper version: info:eu-repo/semantics/acceptedVersion
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Entity: Universitat Rovira i Virgili
Journal publication year: 2015
First page: 470
Publication Type: Article Artículo Article
Repositori URV