Abstract
Methods that are typically used to examine individual differences in risk attitudes (e.g. lotteries, dilemmas, questionnaires) require participants to explicitly declare their willingness to take risk. Therefore, they may be biased by the need for self-presentation or situational characteristics such as time pressure and cognitive constraints that lead to more spontaneous and automatic processing of risk-related information. The aim of this study was to construct an indirect measure of risk attitudes that is free of these methodological limitations. The method based on the Implicit Association Test shows high internal reliability and satisfactory stability over time. It correlates moderately with different explicit measures of risk attitudes that are related to sensation seeking. Finally, it is characterized by a high predictive power. Adding the implicit measure to the set of independent variables representing declarative evaluations of risk attitudes significantly improved the model predicting risky real-life behavior. We argue that the indirect assessment of risk attitudes presented in this paper may be used as an universal measure of people’s risk propensity that is free of biases related to self-presentation and situational factors.
Acknowledgments
We would like to thank an anonymous reviewer whose insightful and stimulating comments helped us to improve and clarify this manuscript.