Autor según el artículo: Pere J. Ferrando; Andreu Vigil-Colet; Urbano Lorenzo-Seva
Departamento: Psicologia
Autor/es de la URV: FERRANDO PIERA, PERE JOAN; VIGIL COLET, ANDRÉS; LORENZO SEVA, URBANO
Palabras clave: Mean-squared person-fit indices Personal correlation Linear factor analysis Outliers detection Person-fit statistics
Resumen: Linear factor analysis (FA) is, possibly, the most widely used model in psychometric applications based on graded-response or more continuous items. However, in these applications consistency at the individual level (person fit) is virtually never assessed. The aim of the present study is to propose a simple and workable approach to routinely assess person fit in FA-based studies. To do so, we first consider five potentially appropriate indices, of which one is a new proposal and the other is a modification of an existing index. Next, the effectiveness of these indices is assessed by using (a) a thorough simulation study that attempts to mimic realistic conditions, and (b) an illustrative example based on real data. Results suggest that the mean-squared lico index and the personal correlation work well in conjunction and can function effectively for detecting different types of inconsistency. Finally future directions and lines of research are discussed.
Grupo de investigación: Escalament de Variables Psicològiques i Desenvolupament de Qüestionaris
Áreas temáticas: Psychology Psicología Psicologia
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 1664-1078
Identificador del autor: 0000-0002-3133-5466; 0000-0003-3818-4514; 0000-0001-5369-3099
Fecha de alta del registro: 2017-01-24
Volumen de revista: 7
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Enlace a la fuente original: https://www.frontiersin.org/articles/10.3389/fpsyg.2016.01973/full
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.3389/fpsyg.2016.01973
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2016
Página inicial: Art.num. 1973
Tipo de publicación: Article Artículo Article