Author, as appears in the article.: Ferrando, P. J.; Navarro-González, D.
Department: Psicologia
URV's Author/s: FERRANDO PIERA, PERE JOAN; NAVARRO GONZÁLEZ, DAVID
Keywords: Item response theory Factor analysis
Abstract: 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.
Research group: INNOVACIONS TECNOLÒGIQUES EN LA MESURA DE TRETS LATENTS
Thematic Areas: Psychology Psicología Psicologia
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 0191-8869
Author identifier: 0000-0002-3133-5466; 0000-0002-9843-5058
Record's date: 2019-03-28
Last page: 86
Journal volume: 123
Papper version: info:eu-repo/semantics/acceptedVersion
Link to the original source: https://www.sciencedirect.com/science/article/abs/pii/S0191886917306712?via%3Dihub
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.1016/j.paid.2017.11.014
Entity: Universitat Rovira i Virgili
Journal publication year: 2018
First page: 81
Publication Type: Article Artículo Article