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Numeracy as a Predictor of Adaptive Risky Decision Making

机译:数理作为自适应风险决策的预测因子

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Numeracy or one's ability to appropriately process and use numerical information has been shown to be an important individual difference factor in decision making. The current study utilized a risky decision-making task (called the "cups task") in which choices are made to both earn and avoid losing hypothetical money. Critically, this design allowed investigators to examine numeracy-related differences in adaptive decision-making as measured by sensitivity to expected value (EV) differences over 54 paired-choice trials-some in which it was advantageous to take a risk and some in which it was not. Results showed that in an undergraduate sample of 114 individuals, the less numerate took more risks and were less sensitive to varying EV levels than the more numerate, especially when it was disadvantageous to take a risk and when the choice involved a potential loss (rather than a gain). These results are consistent with a dual processing account in which the more numerate are much better than the less numerate at extracting the precise affective "gist" of the numerical information, which is then used to determine the goodness or badness of a particular choice.
机译:算术能力或一个人适当地处理和使用数字信息的能力已被证明是决策中重要的个体差异因素。当前的研究利用了冒险的决策任务(称为“杯任务”),在该任务中做出选择来赚取和避免损失假设的钱。至关重要的是,这种设计使研究人员能够检查适应性决策中与计算相关的差异,这些差异是通过对54项配对选择试验的期望值(EV)差异的敏感性进行衡量的,其中某些风险较高,而某些风险较高。不是。结果显示,在114名学生的本科样本中,数字较少的人比数字较多的人承担更多的风险,并且对变化的EV水平较不敏感,尤其是在冒风险的不利条件以及选择涉及潜在损失的情况下(而不是获得)。这些结果与双重处理帐户一致,在提取数字信息的精确情感“要点”时,数字越多要好于数字越少,然后将其用于确定特定选择的优缺点。

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