Autor segons l'article: Lorenzo-Seva, Urbano; Ferrando, Pere J
Departament: Psicologia
Autor/s de la URV: Ferrando Piera, Pere Joan / Lorenzo Seva, Urbano
Paraules clau: Unrestricted factor analysis Uls Principal axis factoring Power analysis Minres Minimum rank factor analysis Goodness-of-fit indices Chi square test of fit statistic
Resum: A shortcoming of least-squares unrestricted factor analysis (UFA) procedures, which are widely used in psychometric applications is that a test statistic for assessing model-data fit cannot be easily derived from the minimum fit function value. This paper proposes a chi-square type goodness-of-fit test statistic intended for the principal-axis, MINRES, and minimum-rank UFA procedures. The statistic is empirically obtained via intensive simulation based on a two-stage approach. First, a distribution of minimum fit function values is obtained from a scenario in which the null hypothesis of perfect model-data fit holds. Second, the obtained statistic is non-linearly transformed so that it has its first four moments equal to those of the theoretical reference chi-square distribution with the appropriate degrees of freedom. Extensions of the basic statistic are next proposed that include comparative and relative indexes based on it. Tests of close-fit and power assessment derived from the basic statistic are also proposed.
Àrees temàtiques: Social sciences, mathematical methods Social sciences (miscellaneous) Social sciences (all) Psychology, mathematical Psychology (miscellaneous) Psychology (all) Psicología General social sciences General psychology Ciencias sociales
Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
Adreça de correu electrònic de l'autor: 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://meth.psychopen.eu/index.php/meth/article/view/9839
URL Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
Referència a l'article segons font original: Methodology-European Journal Of Research Methods For The Behavioral And Social Sciences. 19 (2): 96-115
Referència de l'ítem segons les normes APA: Lorenzo-Seva, Urbano; Ferrando, Pere J (2023). A Simulation-Based Scaled Test Statistic for Assessing Model-Data Fit in Least-Squares Unrestricted Factor-Analysis Solutions. Methodology-European Journal Of Research Methods For The Behavioral And Social Sciences, 19(2), 96-115. DOI: 10.5964/meth.9839
DOI de l'article: 10.5964/meth.9839
Entitat: Universitat Rovira i Virgili
Any de publicació de la revista: 2023
Tipus de publicació: Journal Publications