Representations of perceptions of risks
Representations of perceptions of risks
复制标题
风险认知的表述
DOI：
10.1037/0096-3445.113.1.55
复制
发表时间：
1984
期刊：
影响因子：
--
通讯作者：
A. Tversky
中科院分区：
文献类型：
--
作者：
Eric J. Johnson;A. Tversky
翻译后摘要：风险的看法（例如，疾病、事故、自然灾害）的调查采用多任务、多模式的方法。我们研究了相似性判断、条件预测和维度评价三个任务所引起的18个风险之间的接近性。比较判断（相似性和预测）相当接近，但维度评估与相似性或预测均不高度相关。相似性判断和有条件的预测似乎是最好的树模型，这是基于离散的功能，而空间模型，如多维尺度和因子分析的维度评价更好地解释。我们讨论了这些结果的心理表征的研究和风险感知的分析的影响。（作者）
Abstract : The perceptions of risks (e.g., diseases, accidents, natural hazards) is investigated using a multi-task, multi-model approach. We studied the proximities among 18 risks induced by three tasks: judgment of similarity, conditional prediction and dimensional evaluation. The comparative judgments (similarity and prediction) were reasonably close but the dimensional evaluation did not correlate highly with either similarity or prediction. Similarity judgments and conditional predictions appear to be represented best by tree models, which are based on discrete features, while the dimensional evaluations are better explained by spatial models, such as multidimensional scaling and factor analysis. We discuss the implications of these results for the study of mental representation and for the analysis of risk perception. (Author)