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

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