| Título: | Confirmatory factor analysis. Recommendations for unweighted least squares method related to Chi-Square and RMSEA : Análisis factorial confirmatorio. Recomendaciones sobre mínimos cuadrados no ponderados en función del error Tipo I de Ji-Cuadrado y RMSEA |
| Autores: | Morata-Ramirez, Mª Ángeles ; Holgado Tello, Francisco Pablo ; Barbero-García, María Isabel ; Mendez, Gonzalo |
| Tipo de documento: | texto impreso |
| Editorial: | Universidad Nacional de Educacion a Distancia, 2015-09-25 |
| Dimensiones: | application/pdf |
| Nota general: |
Acción Psicológica; Vol 12, No 1 (2015); 79-90 Acción Psicológica; Vol 12, No 1 (2015); 79-90 2255-1271 1578-908X 10.5944/ap.12.1 Copyright (c) 2015 Facultad de Psicología. Servicio de Psicología Aplicada. http://creativecommons.org/licenses/by-nc-nd/4.0 |
| Idiomas: | Español |
| Palabras clave: | accionpsicologica:ARTL , driver |
| Resumen: |
In order to obtain evidences about construct validity through Confirmatory Factor Analysis in Social Sciences, working with skewed ordinal variables has been usual. In this simulation study the performance of Unweighted Least Squares (ULS) method in Likert scales according to Likelihood Ratio Test (C2) and RMSEA indices is analysed through Type I error. For this purpose, four experimental factors have been manipulated: the number of factors or dimensions (2, 3, 4, 5, 6), the number of response points (3, 4, 5, 6), the degree of skewness of the responses distribution (symmetric, moderately and severely asymmetric) and the sample size (100, 150, 250, 450, 650, 850) of the simulated models. According to the main results, C2 index always shows a bigger Type I error than RMSEA, regardless of the experimental factors analysed. Finally, different action alternatives are discussed and future research lines are presented. Resumen En Psicología, para obtener evidencias sobre validez de constructo mediante Análisis Factorial Confirmatorio es habitual trabajar con variables ordinales que presentan asimetría. En este estudio de simulación se analiza el comportamiento del método de Mínimos Cuadrados no Ponderados (ULS) en escalas tipo Likert con base en los índices ?2 de razón de verosimilitud (C2) y RMSEA. Para ello, se han manipulado cuatro factores experimentales: el número de factores o dimensiones (2, 3, 4, 5, 6), número de puntos de respuesta (3, 4, 5, 6), grado de asimetría de la distribución de respuestas (simétrica, asimétrica moderada y severa) y tamaño muestral (100, 150, 250, 450, 650, 850) de los modelos simulados. Según los principales resultados, el índice C2 muestra siempre un error Tipo I mayor que RMSEA, con independencia de los factores experimentales analizados. Finalmente, se discuten diferentes alternativas de acción y se presentan futuras líneas de investigación. AbstractIn order to obtain evidences about construct validity through Confirmatory Factor Analysis in Social Sciences, working with skewed ordinal variables has been usual. In this simulation study the performance of Unweighted Least Squares (ULS) method in Likert scales according to Likelihood Ratio Test (C2) and RMSEA indices is analysed through Type I error. For this purpose, four experimental factors have been manipulated: the number of factors or dimensions (2, 3, 4, 5, 6), the number of response points (3, 4, 5, 6), the degree of skewness of the responses distribution (symmetric, moderately and severely asymmetric) and the sample size (100, 150, 250, 450, 650, 850) of the simulated models. According to the main results, C2 index always shows a bigger Type I error than RMSEA, regardless of the experimental factors analysed. Finally, different action alternatives are discussed and future research lines are presented. |
| En línea: | http://revistas.uned.es/index.php/accionpsicologica/article/view/14362 |
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