Autor segons l'article: Ferrando, P. J.; Navarro-González, D.
Departament: Psicologia
Autor/s de la URV: FERRANDO PIERA, PERE JOAN; NAVARRO GONZÁLEZ, DAVID
Paraules clau: Item response theory Factor analysis
Resum: 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.
Grup de recerca: INNOVACIONS TECNOLÒGIQUES EN LA MESURA DE TRETS LATENTS
Àrees temàtiques: Psychology Psicología Psicologia
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0191-8869
Identificador de l'autor: 0000-0002-3133-5466; 0000-0002-9843-5058
Data d'alta del registre: 2019-03-28
Pàgina final: 86
Volum de revista: 123
Versió de l'article dipositat: info:eu-repo/semantics/acceptedVersion
Enllaç font original: https://www.sciencedirect.com/science/article/abs/pii/S0191886917306712?via%3Dihub
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
DOI de l'article: 10.1016/j.paid.2017.11.014
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2018
Pàgina inicial: 81
Tipus de publicació: Article Artículo Article