{"title":"Development and Validation of the Calculated and Spontaneous Risk-Taking Scale (CASPRT)","authors":"Don C. Zhang, Rachel Williamson Smith","doi":"10.1002/bdm.70020","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>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 (<i>N</i> = 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.</p>\n </div>","PeriodicalId":48112,"journal":{"name":"Journal of Behavioral Decision Making","volume":"38 3","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Behavioral Decision Making","FirstCategoryId":"102","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/bdm.70020","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PSYCHOLOGY, APPLIED","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
The Journal of Behavioral Decision Making is a multidisciplinary journal with a broad base of content and style. It publishes original empirical reports, critical review papers, theoretical analyses and methodological contributions. The Journal also features book, software and decision aiding technique reviews, abstracts of important articles published elsewhere and teaching suggestions. The objective of the Journal is to present and stimulate behavioral research on decision making and to provide a forum for the evaluation of complementary, contrasting and conflicting perspectives. These perspectives include psychology, management science, sociology, political science and economics. Studies of behavioral decision making in naturalistic and applied settings are encouraged.