Author, as appears in the article.: Ferrando, Pere J; Lorenzo-Seva, Urbano; Navarro-Gonzalez, David
Department: Psicologia
URV's Author/s: Ferrando Piera, Pere Joan / Lorenzo Seva, Urbano / Navarro González, David
Keywords: Trait
Abstract: The unival package is designed to help researchers decide between unidimensional and correlated-factors solutions in the factor analysis of psychometric measures. The novelty of the approach is its use of external information, in which multiple factor scores and general factor scores are related to relevant external variables or criteria. The unival package's implementation comes from a series of procedures put forward by Ferrando and Lorenzo-Seva (2019) and new methodological developments proposed in this article. We assess models fitted using unival by means of a simulation study extending the results obtained in the original proposal. Its usefulness is also assessed through a real-world data example. Based on these results, we conclude unival is a valuable tool for use in applications in which the dimensionality of an item set is to be assessed.
Thematic Areas: Statistics, probability and uncertainty Statistics and probability Statistics & probability Numerical analysis Computer science, interdisciplinary applications Ciencias sociales Ciências agrárias i
licence for use: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 20734859
Author's mail: urbano.lorenzo@urv.cat perejoan.ferrando@urv.cat
Author identifier: 0000-0001-5369-3099 0000-0002-3133-5466
Record's date: 2024-10-12
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://journal.r-project.org/archive/2019/RJ-2019-040/index.html
Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: R Journal. 11 (1): 427-436
APA: Ferrando, Pere J; Lorenzo-Seva, Urbano; Navarro-Gonzalez, David (2019). unival: An FA-based R Package For Assessing Essential Unidimensionality Using External Validity Information. R Journal, 11(1), 427-436. DOI: 10.32614/RJ-2019-040
Article's DOI: 10.32614/RJ-2019-040
Entity: Universitat Rovira i Virgili
Journal publication year: 2019
Publication Type: Journal Publications