Evaluación de la consistencia interna y dimensionalidad de la Escala de Capital Social Cognitivo en adultos colombianos
DOI:
https://doi.org/10.52379/mcs.v8i1.363Palabras clave:
Capital social, Análisis de factores, Confiabilidad, Validez, Estudios de validaciónResumen
Introducción: durante las últimas dos décadas, el concepto de capital social se ha utilizado con creciente frecuencia en las ciencias de la salud debido a las relaciones directas e indirectas entre el capital social y la salud física y mental de las poblaciones. Por tanto, es necesario construir un instrumento para cuantificar este concepto con seguridad y confiabilidad. Objetivo: analizar la consistencia interna y dimensionalidad de una escala de siete ítems para medir el capital social en adultos de la población general de Colombia. Metodología: se realizó un estudio de validación en línea, que incluyó una muestra de 700 adultos de entre 18 y 76 años, el 68 % eran mujeres. Los participantes completaron una escala de siete ítems llamada Escala de Capital Social Cognitivo (ECSC). El alfa de Cronbach y el omega de McDonald se calcularon para probar la consistencia interna. Se realizaron análisis factoriales exploratorios y confirmatorios para explorar la dimensionalidad de la ECSC. Resultados: la ECSC presentó una consistencia interna baja (alfa de Cronbach de 0,56 y omega de McDonald de 0,59) y pobre dimensionalidad. Seguidamente, se probó una versión de cinco ítems (ECSC-5). La ECSC-5 mostró una alta consistencia interna (alfa de Cronbach de 0,79 y omega de McDonald de 0,80) y una estructura unidimensional con indicadores de bondad de ajuste aceptables. Discusión: la ECSC-5 presenta alta consistencia interna y una estructura unidimensional para medir el capital cognitivo social en adultos colombianos. Se recomienda la ECSC-5 para la medición del capital social en la población general colombiana. Futuras investigaciones deben corroborar estos hallazgos en aplicaciones de lápiz y papel y explorar otros indicadores de confiabilidad y validez.
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Derechos de autor 2024 Adalberto Campo-Arias, Carmen Cecilia Caballero-Domínguez, John Carlos Pedrozo-Pupo
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
