Validating the Factor Structure of Acceptance in Practical Decision-Making
A Confirmatory Factor Analysis Approach
DOI:
https://doi.org/10.52731/lbds.v005.464Keywords:
psychological acceptance, decision-making, CFA, scale validation, behavioral intentionAbstract
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.
References
Hosoda, T., & Matsuo, T. (2024). Development of a scale to measure acceptance in practical decision-making: An exploratory factor analysis. Pan-Pacific Manage-ment Science, 3(1), 45–56.
Holyoak, K. J., & Simon, D. (1999). Bidirectional reasoning in decision making by constraint satisfaction. Journal of Experimental Psychology: General, 128(1), 3–31.
Scott, S. G., & Bruce, R. A. (1995). Decision-making style: The development and assessment of a new measure. Educational and Psychological Measurement, 55(5), 818–831.
O’Connor, A. M. (1995). Validation of a decisional conflict scale. Medical Decision Making, 15(1), 25–30.
von Neumann, J., & Morgenstern, O. (1944). Theory of Games and Economic Behavior. Princeton University Press.
Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. Springer.
Imai, Y., Hoshino, M., & Kato, M. (2022). Development of a scale for conviction in cancer treatment decisions. Japanese Journal of Health Psychology, 35(1), 23–35.
Iwabuchi, M. (2020). Issues and perspectives in the study of decision-making styles during adolescence: A systematic review. Annual Bulletin of the Graduate School of Education, Tohoku University, 68(2), 129–154.
Epstein, S., Pacini, R., Denes-Raj, V., & Heier, H. (1996). Individual differences in intuitive–experiential and analytical–rational thinking styles. Journal of Person-ality and Social Psychology, 71(2), 390–405.
Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equa-tion Modeling, 6(1), 1–55.
