期刊
JOURNAL OF COGNITIVE PSYCHOLOGY
卷 26, 期 1, 页码 81-97出版社
ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/20445911.2013.861840
关键词
Frequencies; Judgments under uncertainty; Mental representation; Pictorial representation; Statistical probability
In an ongoing debate about statistical reasoning competency, one view claims that pictorial representations help tap into the frequency coding mechanisms, whereas another view argues that pictorial representations simply help one to appreciate general subset relationships. The present experiments used Bayesian reasoning problems, expressed in an ambiguous numerical format (chances) and with different pictorial representations, to better understand influences on performance across these representation types. Although a roulette wheel diagram had some positive effect on performance, both abstract icons and pictographs improved performance markedly more. Furthermore, a frequency interpretation of the ambiguous numerical information was also associated with superior performance. These findings support the position that the human mind is more easily able to use frequency-based information, as opposed to grasping subset relations, as an explanation for improved statistical reasoning. These results also provide practical implications for how to present quantitative information to substantially improve public understanding.
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