Development and Validation of the Calculated and Spontaneous Risk‐Taking Scale (CASPRT)
ABSTRACT Risk preference is a key concept across social, economic, and decision sciences. While existing measures assess risk taking either as domain‐specific preferences (e.g., finance and health) or as a general trait, they have largely overlooked individual differences in the narrow, domain‐general aspects of risk preference. Drawing from a dual‐process framework, we advance a multidimensional domain‐general measure of risk preference. We develop and validate the Calculated and Spontaneous Risk‐Taking Scale across seven studies ( N = 2116). Results show (1) the two risk styles are moderately correlated and align with existing risk preference measures; (2) they are distinct from personality traits like the Big Five and cognitive traits like decision style; (3) calculated risk‐takers show more variability in risk attitudes across contexts; (4) calculated risk‐taking predicts adaptive outcomes (e.g., creativity and entrepreneurship), while spontaneous risk‐taking predicts maladaptive behaviors (e.g., crime, safety violations); and (5) the scale is invariant across sex and age. Overall, calculated risk‐takers engage in more adaptive risks, leading to healthier, more meaningful lives.
Authors
- Rachel Williamson Smith (ORCID: https://orcid.org/0000-0001-7283-8572)
- Don C. Zhang
Institutions
- Louisiana State University (US)
- Georgia Southern University (US)
Publication Details
- Journal
- Journal of Behavioral Decision Making
- Published
- 2025-05-22
- DOI
- https://doi.org/10.1002/bdm.70020
- Primary Topic
- Decision-Making and Behavioral Economics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation