Representations of perceptions of risks.

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Abstract
Investigated the perception of risks (e.g., diseases, accidents, natural hazards) using a multitask, multimodel approach. 18 risks were rated by 245 undergraduates to examine the proximities among the risks induced by 3 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 were best represented by tree models which are based on discrete features, whereas the dimensional evaluations were better explained by spatial models such as multidimensional scaling and factor analysis. Implications for the study of mental representations and for the analysis of risk perception are discussed. (21 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)

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