Factorial invariance of the Physical Self-Concept Scale in Mexican students (Invarianza factorial de la escala de autoconcepto físico en hombres y mujeres estudiantes universitarios)
DOI:
https://doi.org/10.47197/retos.v0i34.59618Keywords:
measurement invariance, factorial structure, construct validation, multi-sample confirmatory factor analysis (invarianza de medida, estructura factorial, validación de constructo, análisis factorial confirmatorio multimuestra)Abstract
Abstract. The present study analyses the psychometric properties proposed by Blanco, Blanco, Viciana, and Zueck (2015) for the Physical Self-Concept Scale (CAF). The total sample consisted of 1,500 Mexican university students, with a mean age of 20.69 years (± SD = 2.33). Confirmatory factorial analyses showed that a two-factor structure is viable and adequate for both studied groups (men and women). The structure of two factors (motor competence and physical attractiveness), according to statistical and substantive criteria, has shown adequate indicators of reliability and validity adjustment. In addition, the factorial structure, factor loads and intercepts are considered invariant in the two groups studied. However, differences between the two groups for the factor means were found. Further research should replicate these findings in larger samples.
Resumen. El presente estudio analiza las propiedades psicométricas propuestos por Blanco, Blanco, Viciana y Zueck (2015) para la escala de autoconcepto físico (CAF). La muestra total fue de 1500 universitarios mexicanos, con una edad media de 20.69 años (± DE=2.33). Los análisis factoriales confirmatorios mostraron que una estructura de dos factores es viable y adecuada para ambos grupos (hombres y mujeres). La estructura de dos factores (competencia motora y atractivo físico), atendiendo a criterios estadísticos y sustantivos, ha mostrado adecuados indicadores de ajuste de fiabilidad y validez. Además, la estructura factorial, las cargas factoriales y los interceptos se consideran invariantes en las dos poblaciones estudiadas; sin embargo, existen diferencias entre las poblaciones para las medias de los factores. Futuras investigaciones deberían replicar estos hallazgos en muestras más amplias.
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