Métodos de Escalamiento en la Obtención de Evidencias de Validación de Contenido: La Construcción de una Escala para Evaluar Responsabilidad Social Corporativa

The aim of this study is test the validity of a scale for measuring the economic dimension of Corporate Social Responsibility (CSR). The final scale, composed by 14 items, is constructed attending to judgments of experts, companies and stakeholders. Analytic hierarchy process (AHP), a methodology for dealing with complex constructs like CSR, is applied to the scale in order to assess the items. AHP methodology also allows applying Thurtone’s pairwise comparisons methodology for the scale validation, showing that pairwise comparisons obtain multiple evidences of validity and eases working with complex constructs.ResumenEl objetivo del estudio es probar la validez de una escala para medir la dimensión económica de la Responsabilidad Social Corporativa (RSC). La escala final, compuesta por 14 ítems, es construida a partir del juicio de expertos, empresas y grupos de interés. La importancia de los ítems de la escala es evaluada a través de la metodología de análisis de procesos jerárquicos (AHP), especialmente apropiada para tratar con constructos complejos como la RSC. Esta metodología también permite aplicar las comparaciones binarias de Thurtone para validad la escala, mostrándose que las comparaciones binarias permiten obtener múltiples evidencias de validez y facilitan el trabajo con constructos complejos.AbstractThe aim of this study is test the validity of a scale for measuring the economic dimension of Corporate Social Responsibility (CSR). The final scale, composed by 14 items, is constructed attending to judgments of experts, companies and stakeholders. Analytic hierarchy process (AHP), a methodology for dealing with complex constructs like CSR, is applied to the scale in order to assess the items. AHP methodology also allows applying Thurtone’s pairwise comparisons methodology for the scale validation, showing that pairwise comparisons obtain multiple evidences of validity and eases working with complex constructs.