32 research outputs found

    The effects of mental steps and compatibility on Bayesian reasoning

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    Four laboratory studies were conducted to test the hypothesis that correct Bayesian reasoning can be predicted by two factors of task complexity — the number of mental steps required to reach the normative solution, and the compatibility between the framing of data presented and the framing of the question posed. The findings show that participants performed better on frequency format questions only when one mental step was required to solve the task and when the data were in a compatible frequency format. By contrast, participants performed more poorly on more complicated tasks which required more mental steps (in a compatible frequency or probability format) or when the data and question formats were incompatible (Studies 1 and 2). Incompatibility between data and question formats was also associated with higher reaction times (Study 2b). Furthermore, on problems that incorporated incompatibility between the data sample size and the target (question) sample size, participants performed better on the probability question than the frequency question, regardless of data format (Study 3). The latter findings highlight the ecological advantage of translating data into probability terms, which are normalized in a range between 0 and 1, and thus can be transferred from one situation to another

    The effects of mental steps and compatibility on Bayesian reasoning

    No full text
    Four laboratory studies were conducted to test the hypothesis that correct Bayesian reasoning can be predicted by two factors of task complexity --- the number of mental steps required to reach the normative solution, and the compatibility between the framing of data presented and the framing of the question posed. The findings show that participants performed better on frequency format questions only when one mental step was required to solve the task and when the data were in a compatible frequency format. By contrast, participants performed more poorly on more complicated tasks which required more mental steps (in a compatible frequency or probability format) or when the data and question formats were incompatible (Studies 1 and 2). Incompatibility between data and question formats was also associated with higher reaction times (Study 2b). Furthermore, on problems that incorporated incompatibility between the data sample size and the target (question) sample size, participants performed better on the probability question than the frequency question, regardless of data format (Study 3). The latter findings highlight the ecological advantage of translating data into probability terms, which are normalized in a range between 0 and 1, and thus can be transferred from one situation to another

    Dishonest Behavior: From Theory to Practice

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    The rapidly growing field of behavioral ethics shows that dishonest acts are highly prevalent in all walks of life, from corruption among politicians through flagrant cases of doping in sports, to everyday slips and misdemeanors of ordinary people who nevertheless perceive themselves as highly moral. When considered cumulatively, these seemingly innocuous and ordinary unethical behaviors cause considerable societal damage and add up to billions of dollars annually. Research in behavioral ethics has made tremendous advances in characterizing many contextual and social factors that promote or hinder dishonesty. These findings have prompted the development of interventions to curb dishonesty and to help individuals become more committed to ethical standards. The current e-book includes studies that test and advance current theory and deepen our understanding of the cognitive and physiological processes underlying dishonest behavior, discuss possible implications of findings in behavioral ethics research for real life situations, document dishonest behavior in the field and/or directly examines interventions to reduce it

    Two sides of the same coin: Information processing style and reverse biases

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    This paper examines the effect of information processing styles (indexed by the Rational-Experiential Inventory of Pacini and Epstein, 1999) on adherence to bias judgments, and particularly to reverse biases; i.e., when two choice questions that comprise identical normative components are set in different situations and yield seemingly opposite behavioral biases. We found consistent evidence for a negative correlation between rational score and adherence to reverse biases, as well as overall biases, for all three pairs of reverse biases tested. Further, this effect of rational thinking was more pronounced for high experiential individuals, in that high-rational and high-experiential participants committed fewer biases than all other participants. These results lend weight to our claim that low-rational individuals, who are more sensitive to the context, are more prone to utilize some attribute of the provided information when it is uncalled for, but at the same time tend to ignore it or give it too little weight when it is a crucial factor in a normative decision process

    Financial Risk-Tolerance During a Major Negative Life Experience

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