计算与自发风险承担量表(CASPRT)的开发与验证

IF 1.8 3区 心理学 Q3 PSYCHOLOGY, APPLIED
Don C. Zhang, Rachel Williamson Smith
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引用次数: 0

摘要

风险偏好是贯穿社会、经济和决策科学的一个关键概念。虽然现有措施要么将风险承担作为特定领域的偏好(例如,金融和卫生)评估,要么将其作为一般特征评估,但它们在很大程度上忽视了风险偏好这一狭隘的、一般领域方面的个体差异。从双过程框架中,我们提出了一种多维领域风险偏好的通用度量。我们在7项研究(N = 2116)中开发并验证了计算和自发风险承担量表。结果表明:(1)两种风险类型具有中等相关性,且与现有的风险偏好指标一致;(2)与五大人格特征和决策风格等认知特征存在显著差异;(3)计算型风险承担者在不同情境下的风险态度差异较大;(4)有计划的风险承担预测适应性结果(如创造力和创业精神),而自发的风险承担预测适应性不良行为(如犯罪、违反安全规定);(5)量表在不同性别和年龄之间是不变的。总的来说,经过深思熟虑的冒险者会承担更多的适应性风险,从而过上更健康、更有意义的生活。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Validation of the Calculated and Spontaneous Risk-Taking Scale (CASPRT)

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.

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来源期刊
CiteScore
4.40
自引率
5.00%
发文量
40
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.
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