Validating the Factor Structure of Acceptance in Practical Decision-Making

This study aims to validate a three-factor model of psychological acceptance in practical decision-making using confirmatory factor analysis (CFA). In complex real-world contexts, individuals’ sense of acceptance—characterized by cognitive clarity, emotional reassurance, and volitional commitment—plays a critical role in decision quality and implementation. Existing tools like the GDMS and DCS scales fail to fully capture this multidimensional construct. Based on previous exploratory factor analysis (EFA), the authors developed a 30-item scale measuring three latent factors: Deeper Understanding, Emotional Acceptance, and Subjective Recognition. CFA was conducted with 611 working adults, and the model showed good fit indices (CFI = 0.928, RMSEA = 0.061, etc.), with strong factor loadings and reliability. The findings confirm that psychological acceptance can be measured as a structured construct that complements traditional decision-making frameworks. This model offers practical implications for designing decision support systems and evaluating participatory decision-making. It also extends prior research in healthcare to broader organizational settings.