Author, as appears in the article.: Ferrando, PJ; Hernández-Dorado, A; Lorenzo-Seva, U
Department: Psicologia
URV's Author/s: Ferrando Piera, Pere Joan / Lorenzo Seva, Urbano
Keywords: Number Monte-carlo Local dependence Linear and nonlinear factor analysis Item analysis Goodness-of-fit Exploratory factor analysis Correlated residuals
Abstract: A frequent criticism of exploratory factor analysis (EFA) is that it does not allow correlated residuals to be modelled, while they can be routinely specified in the confirmatory (CFA) model. In this article, we propose an EFA approach in which both the common factor solution and the residual matrix are unrestricted (i.e., the correlated residuals need not be specified a priori). The estimation procedures are two-stage and based on the unweighted least squares principle. Procedures for judging the solution appropriateness (including goodness of fit) are also proposed. The simulation studies and illustrative example suggest that the approach works quite well Although the proposal is based on existing results, most of the developments can be considered to be new contributions, and are expected to be particularly useful in the earlier stages of item calibration. The whole procedure has been implemented in both R language and a well-known non-commercial EFA program.
Thematic Areas: Sociology and political science Sociologia i política Social sciences, mathematical methods Psychology Psicología Modeling and simulation Mathematics, interdisciplinary applications Matemática / probabilidade e estatística General o multidisciplinar General economics,econometrics and finance General decision sciences Economics, econometrics and finance (miscellaneous) Economics, econometrics and finance (all) Economia Decision sciences (miscellaneous) Decision sciences (all) Ciencias sociales
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: perejoan.ferrando@urv.cat urbano.lorenzo@urv.cat
Author identifier: 0000-0002-3133-5466 0000-0001-5369-3099
Record's date: 2024-01-13
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.tandfonline.com/doi/full/10.1080/10705511.2023.2267181
Papper original source: Structural Equation Modeling-A Multidisciplinary Journal.
APA: Ferrando, PJ; Hernández-Dorado, A; Lorenzo-Seva, U (2023). A Simple Two-Step Procedure for Fitting Fully Unrestricted Exploratory Factor Analytic Solutions with Correlated Residuals. Structural Equation Modeling-A Multidisciplinary Journal, (), -. DOI: 10.1080/10705511.2023.2267181
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
Article's DOI: 10.1080/10705511.2023.2267181
Entity: Universitat Rovira i Virgili
Journal publication year: 2023
Publication Type: Journal Publications
Repositori URV