Department of Health Sciences, University of York, UK.
Risk Anal. 2013 Sep;33(9):1728-48. doi: 10.1111/risa.12012. Epub 2013 Jan 22.
This research proposes and implements a new approach to the elicitation and analysis of perceptions of risk. We use best worst scaling (BWS) to elicit the levels of control respondents believe they have over risks and the level of concern those risks prompt. The approach seeks perceptions of control and concern over a large risk set and the elicitation method is structured so as to reduce the cognitive burden typically associated with ranking over large sets. The BWS approach is designed to yield strong discrimination over items. Further, the approach permits derivation of individual-level values, in this case of perceptions of control and worry, and analysis of how these vary over observable characteristics, through estimation of random parameter logit models. The approach is implemented for a set of 20 food and nonfood risks. The results show considerable heterogeneity in perceptions of control and worry, that the degree of heterogeneity varies across the risks, and that women systematically consider themselves to have less control over the risks than men.
本研究提出并实施了一种新的风险感知 elicitation 和分析方法。我们使用最佳最劣标度法（BWS）来 elicite 受访者认为自己对风险的控制水平以及这些风险引起的关注程度。该方法旨在获取对大量风险集的控制和关注感知，并且 elicitation 方法的结构旨在减轻通常与对大型数据集进行排序相关的认知负担。BWS 方法旨在对项目进行强有力的区分。此外，该方法允许通过估计随机参数对数模型，从个体层面上得出感知控制和担忧的数值，并分析这些数值如何随可观察特征而变化。该方法针对一组 20 种食品和非食品风险进行了实施。结果表明，控制和担忧的感知存在相当大的异质性，这种异质性的程度在风险之间有所不同，而且女性系统地认为自己对风险的控制程度低于男性。
