Autor según el artículo: Ferrando, P. J.; Navarro-González, D.
Departamento: Psicologia
Autor/es de la URV: FERRANDO PIERA, PERE JOAN; NAVARRO GONZÁLEZ, DAVID
Palabras clave: Item response theory Factor analysis
Resumen: Factor analysis (FA) is the most widely used modeling approach for developing and assessing psychometric personality measures. Furthermore, the appropriateness of an FA application of this type is generally judged on the sole basis of model-data fit, a criterion which is clearly insufficient. This article proposes a multi-faceted approach for assessing (a) the strength and replicability of the factorial solution, (b) the accuracy and effectiveness of the factor score estimates, and (c) the closeness to unidimensionality in measures that were initially designed to be single-trait. The proposal was applied to a measure of statistical anxiety, the SAS, and the main results were the following: (a) both the unidimensional and the oblique solutions were well defined and replicable, and they led to accurate factor score estimates; and (b) unidimensional-based scores were effective over the full practical range of trait values whereas the ranges of the more specific factors in the oblique solution were narrower. It is submitted that the use of the proposal and the accompanying criteria has important advantages and can help to raise standards in FA applications in personality.
Grupo de investigación: INNOVACIONS TECNOLÒGIQUES EN LA MESURA DE TRETS LATENTS
Áreas temáticas: Psychology Psicología Psicologia
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0191-8869
Identificador del autor: 0000-0002-3133-5466; 0000-0002-9843-5058
Fecha de alta del registro: 2019-03-28
Página final: 86
Volumen de revista: 123
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://www.sciencedirect.com/science/article/abs/pii/S0191886917306712?via%3Dihub
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI del artículo: 10.1016/j.paid.2017.11.014
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2018
Página inicial: 81
Tipo de publicación: Article Artículo Article