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Problems with scoring methods and ordinal scales in risk assessment

机译:风险评估中评分方法和顺序量表的问题

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摘要

Risk assessment methods based on scoring methods that rate the severity of each risk factor on an ordinal scale are widely used and frequently perceived by users to have value. We argue that this perceived benefit is probably illusory in most cases. We begin by describing a number of common scoring methods currently used to assess risk in a variety of different domains. We then review the literature on the use of ordinal scales in risk analysis, the use of “verbal scales” for eliciting estimates of risks and probabilities, and the extensive research about peculiar human errors when assessing risks. We also supplement this overview with some data of our own. When these diverse kinds of evidence are combined, the case against scoring methods is difficult to deny. In addition to the evidence against the value of scoring methods, there is also a lack of good evidence in their favor. We conclude our overview by reviewing the reasons why risk assessment approaches should describe risk in terms of mathematical probabilities.
机译:基于评分方法的风险评估方法被广泛使用,并且经常被用户认为是有价值的,该评分方法是按顺序对每个风险因素的严重性进行评分。我们认为,这种感觉到的好处在大多数情况下可能是虚幻的。我们首先描述当前用于评估各种不同领域中的风险的许多常见评分方法。然后,我们回顾了有关在风险分析中使用序数标度,使用“语言标度”得出风险和概率估计的文献,以及在评估风险时有关特殊人为错误的广泛研究。我们还将用我们自己的一些数据来补充此概述。当将这些不同种类的证据结合在一起时,很难否认采用评分方法的情况。除了反对评分方法价值的证据外,也缺乏支持它们的良好证据。我们通过回顾为什么风险评估方法应该以数学概率来描述风险的原因来结束我们的概述。

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