This paper uses regression techniques to take a second look at a classic risk‐perception data set originally collected by Paul Slovic, Sarah Lichtenstein, and Baruch Fischhoff. As discussed in earlier studies, the attributesexpected mortality, effects on future generations, immediacy, andcatastrophic potentialall significantly affect risk ratings. However, we find that perceived risk and dread show different regression patterns; most importantly, only perceived risk ratings correlate with expected mortality. In addition, average risk ratings are found to be significantly affected by perceived individual benefits, which suggests that perceptions of risk are net rather than gross indicators of har
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机译:本文使用回归技术重新审视最初由 Paul Slovic、Sarah Lichtenstein 和 Baruch Fischhoff 收集的经典风险感知数据集。正如早期研究所讨论的,预期死亡率、对后代的影响、即时性和灾难性潜力等属性都会显着影响风险评级。然而,我们发现感知到的风险和恐惧表现出不同的回归模式;最重要的是,只有感知风险评级与预期死亡率相关。此外,平均风险评级被发现受到感知到的个人收益的显着影响,这表明对风险的感知是净的,而不是总体的 har 指标。
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