Autor segons l'article: Ferrando, Pere J; Hernandez-Dorado, Ana; Lorenzo-Seva, Urbano
Departament: Psicologia
Autor/s de la URV: Ferrando Piera, Pere Joan / Hernández Dorado, Ana / Lorenzo Seva, Urbano
Paraules clau: Parallel analysis Index Image theory Exploratory factor analysis Expected parameter change Doublets Correlated residuals
Resum: In the classical exploratory factor analysis (EFA) model, residuals are constrained to be uncorrelated. However, since the 1960s, extensions of the classical model that allow correlated residuals to be modeled exist. Furthermore, in many EFA applications (especially those intended for item analysis) it is highly relevant to decide whether an extended solution is more appropriate than the simpler classical solution. This decision, in turn, requires effective and powerful methods for detecting correlated residuals (doublets) when they are really present to be available. This paper discusses two existing detection approaches in the EFA context, and proposes a third, new procedure. Reference values, based on the concept of parallel analysis, are proposed for deciding the relevance of the flagged doublets in all the considered procedures. The functioning of the three procedures is assessed by using simulation, and illustrated with an illustrative example. The proposal, finally, has been implemented in a well-known noncommercial EFA program, and an implementation in R is being developed.
Àrees temàtiques: 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
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: ana.hernandez@urv.cat urbano.lorenzo@urv.cat perejoan.ferrando@urv.cat
Identificador de l'autor: 0000-0001-5369-3099 0000-0002-3133-5466
Data d'alta del registre: 2024-10-12
Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
Enllaç font original: https://www.tandfonline.com/doi/full/10.1080/10705511.2021.2004543
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Structural Equation Modeling-A Multidisciplinary Journal. 29 (4): 630-638
Referència de l'ítem segons les normes APA: Ferrando, Pere J; Hernandez-Dorado, Ana; Lorenzo-Seva, Urbano (2022). Detecting Correlated Residuals in Exploratory Factor Analysis: New Proposals and a Comparison of Procedures. Structural Equation Modeling-A Multidisciplinary Journal, 29(4), 630-638. DOI: 10.1080/10705511.2021.2004543
DOI de l'article: 10.1080/10705511.2021.2004543
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2022
Tipus de publicació: Journal Publications