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Assessing the validity of three tasks of risk‐taking propensity
Author(s) -
Zhou Ran,
Myung Jay I.,
Mathews Carol A.,
Pitt Mark A.
Publication year - 2021
Publication title -
journal of behavioral decision making
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.136
H-Index - 76
eISSN - 1099-0771
pISSN - 0894-3257
DOI - 10.1002/bdm.2229
Subject(s) - sensation seeking , impulsivity , psychology , hoarding (animal behavior) , measure (data warehouse) , consistency (knowledge bases) , personality , clinical psychology , social psychology , computer science , artificial intelligence , medicine , database , feeding behavior
Risk‐taking propensity is a general personality disposition that has been studied using survey, behavioral, and cognitive modeling approaches, but the consistency and informativeness of the data across these approaches is rarely compared. To address this issue, we compared three behavioral tasks (BART, C‐ART, and S‐ART) designed to measure risk‐taking propensity by correlating measures from both the behavioral and modeling approaches with responses on scales assumed to relate to risk‐taking (impulsivity, sensation seeking, and drug abuse), and risk aversion (OCD symptoms and hoarding behavior). Results show that both the behavioral measure and the model parameter in the C‐ART and the S‐ART positively correlated with impulsivity and sensation seeking, with the behavioral measure showing a slight advantage. We also found discrepancies between the behavioral measure and the model parameter: the behavioral measures in the BART and the S‐ART negatively correlated with hoarding behavior, whereas the model parameter positively correlated with impulsivity and OCD symptoms. Our findings indicate that these tasks, all of which claim to measure risk‐taking propensity, vary in their abilities to measure different aspects of risk‐taking propensity. Current computational models do not yet suffice as an additional index of risk‐taking propensity.