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Modeling different behaviors in disclosing risk perception
Biometrical Journal ( IF 1.7 ) Pub Date : 2020-02-20 , DOI: 10.1002/bimj.201900006
Roberto Colombi 1 , Sabrina Giordano 2
Affiliation  

In many fields, people are requested to express their level of awareness about some risk (mainly associated with health, environment, energy, etc.) by selecting a category in an ordered scale. We propose a model for such ordinal data by taking into account that the observed response does not necessarily reflect the respondent's true opinion since the final answer can be inaccurate or completely random. The proposed model hypothesizes three behaviors in the process of answering: accurate interviewees express their risk perception exactly, uncertain ones randomly select the response according to the uniform distribution, and inaccurate interviewees make evaluation errors but with high probability they choose a rating close to the true one. Statistical inference for the proposed models is addressed without assuming that the model, to be fitted, is correctly specified. Two real case studies on the awareness of geo-hydrological risk and work-related stress risk are considered using the proposed methodology.

中文翻译:

对披露风险感知的不同行为进行建模

在许多领域,人们被要求通过在有序的范围内选择一个类别来表达他们对某些风险(主要与健康、环境、能源等相关)的认识水平。考虑到观察到的响应不一定反映受访者的真实意见,因为最终答案可能不准确或完全随机,我们为此类有序数据提出了一个模型。所提出的模型假设了回答过程中的三种行为:准确的受访者准确表达了他们的风险感知,不确定的受访者根据均匀分布随机选择了答案,不准确的受访者做出了评估错误但很可能选择了接近真实的评分。一。对建议模型的统计推断进行了处理,但不假设模型要拟合,被正确指定。使用建议的方法考虑了两个关于地质水文风险和与工作相关的压力风险意识的真实案例研究。
更新日期:2020-02-20
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