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Experimental Tests of Risk Ladders in the Elicitation of Perceived Likelihood

机译:诱发可能性的风险阶梯的实验测试

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摘要

Risk ladders have the potential to improve numeric judgments of low-likelihood events by providing information about the likelihoods of comparison risks, thereby letting respondents make risk estimates "in context." However, to date this tool has been studied systematically only in communication of risk, not in elicitation of perceived likelihoods. In three studies, we evaluated the benefits of risk ladders on the consistency, validity, and mean-level accuracy of elicited likelihood judgments. When estimates for low-likelihood hazards were elicited using different numeric response scales (e.g., "1 in x" and "x in 100,000"), scale type had a strong effect on the magnitudes of the elicited estimates, and viewing a risk ladder (Experiment 1) or comparison risks (Experiments 2 and 3) did not attenuate this effect of scale type. Similarly, we found no evidence that risk ladders or comparison risks improved the convergent validity of numeric estimates, as measured using correlations with risk ratings made on alternative scale types. Finally, viewing comparison risks tended to reduce gross overestimation of rare events, with relatively less change in estimates for mid-likelihood and high-likelihood hazards. This suggests that comparison risks can spread responses to cover a wider range of values but do not ameliorate scale effects. In the elicitation of numeric risk estimates, how you ask matters, even if you let people make estimates "in context" through the use of comparative risk information. Copyright (c) 2015 John Wiley & Sons, Ltd.
机译:风险阶梯有可能通过提供有关比较风险可能性的信息来改善对低可能性事件的数字判断,从而使受访者可以“根据上下文”进行风险估计。但是,迄今为止,仅在风险交流中而不是在诱发可能的可能性中进行了系统的研究。在三项研究中,我们评估了风险阶梯对得出的可能性判断的一致性,有效性和均值准确性的好处。当使用不同的数字响应量表(例如,“ x in 1”和“ x in 100,000”)得出低可能性危险的估算值时,量表类型对得出的估算值有很大影响,并查看风险阶梯(实验1)或比较风险(实验2和3)并未减弱这种量表类型的影响。同样,我们没有发现证据表明风险阶梯或比较风险可以提高数值估计的收敛效度,这是通过使用与在其他尺度类型上进行的风险评级的相关性来衡量的。最后,查看比较风险往往会减少对罕见事件的总体高估,而中可能性和高可能性危害的估计值变化相对较小。这表明比较风险可以使响应分散,以涵盖更广泛的值范围,但不能改善规模效应。在得出数字风险估计时,即使您通过使用比较风险信息让人们“根据上下文”进行估计,您的要求也很重要。版权所有(c)2015 John Wiley&Sons,Ltd.

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