Dieckmann Nathan F, Slovic Paul, Peters Ellen M
Decision Research, & University of Oregon Eugene, OR 97401, USA.
Risk Anal. 2009 Oct;29(10):1473-88. doi: 10.1111/j.1539-6924.2009.01279.x. Epub 2009 Aug 10.
Decisionmakers are often presented with explicit likelihood assessments (e.g., there is a 10% chance that an attack will occur over the next three months) and supporting narrative evidence in forecasting and risk communication domains. Decisionmakers are thought to rely on both numerical and narrative information to the extent that they perceive the information to be diagnostic, accurate, and trustworthy. In two studies, we explored how lay decisionmakers varying in numeracy evaluated and used likelihood assessments and narrative evidence in forecasts. Overall, the less numerate reported higher risk and likelihood perceptions. In simple probabilistic forecasts without narrative evidence, decisionmakers at all levels of numeracy were able to use the stated likelihood information, although risk perceptions of the less numerate were more affected by likelihood format. When a forecast includes narrative evidence, decisionmakers were better able to use stated likelihood in a percentage as compared to frequency or verbal formats. The more numerate used stated likelihood more in their evaluations whereas the less numerate focused more on the narrative evidence. These results have important implications for risk analysts and forecasters who need to report the results of their analyses to decisionmakers. Decisionmakers varying in numerical ability may evaluate forecasts in different ways depending on the types of information they find easiest to evaluate.
在预测和风险沟通领域,决策者常常会收到明确的可能性评估(例如,在未来三个月内发生攻击的可能性为10%)以及支持性的叙述性证据。人们认为,决策者会在他们认为信息具有诊断性、准确性和可信度的程度上,依赖数字信息和叙述性信息。在两项研究中,我们探讨了在算术能力方面存在差异的外行决策者如何评估和使用预测中的可能性评估和叙述性证据。总体而言,算术能力较低的人报告的风险和可能性认知较高。在没有叙述性证据的简单概率预测中,所有算术水平的决策者都能够使用所陈述的可能性信息,尽管算术能力较低的人的风险认知更容易受到可能性格式的影响。当预测包含叙述性证据时,与频率或文字格式相比,决策者更能够使用以百分比形式陈述的可能性。算术能力较强的人在评估中更多地使用所陈述的可能性,而算术能力较弱的人则更关注叙述性证据。这些结果对于需要向决策者报告其分析结果的风险分析师和预测者具有重要意义。算术能力不同的决策者可能会根据他们认为最容易评估的信息类型,以不同的方式评估预测。