Judgement of two causal candidates from contingency information: effects of relative prevalence of the two causes.

Peter White
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引用次数: 10

Abstract

In four experiments participants made judgements about two possible causes of an effect. The prevalence of the causes was manipulated independently of their degree of contingency with the effect. Significant effects of the prevalence manipulation were obtained: In particular, ratings of the unmanipulated candidate tended to decline as the prevalence of the other candidate increased, and there was also a significant but smaller effect on judgements of the latter. These tendencies were independent of the order in which the two candidates were judged. These results were replicated under two stimulus presentation procedures, the instance list procedure (Experiments 1 and 2) and the trial-by-trial procedure (Experiment 3). It was hypothesized that people judge, to some degree, the proportionate strength of the candidates, in other words the proportion of occurrences of the effect in the presence of each, and that the cause prevalence effect is a consequence of this tendency. This hypothesis was supported by the results of Experiment 4: Those participants whose judgements of one candidate were negatively correlated with the frequency of occurrence of the effect in the presence of the other candidate showed a significantly stronger cause prevalence effect than the remainder.

从偶然性信息判断两个候选因果关系:两个原因的相对流行程度的影响。
在四个实验中,参与者对一个结果的两个可能原因做出判断。原因的普遍性被操纵,而不受其与结果的偶然性程度的影响。流行度操纵的显著影响得到了:特别是,未被操纵的候选人的评分倾向于随着另一个候选人的流行度增加而下降,并且对后者的判断也有显著但较小的影响。这些倾向与对两位候选人的判断顺序无关。这些结果在两种刺激呈现程序下得到了重复,即实例列表程序(实验1和2)和逐个试验程序(实验3)。假设人们在某种程度上判断候选人的比例强度,换句话说,在每个人面前出现效果的比例,并且因果流行效应是这种趋势的结果。实验4的结果支持了这一假设:那些对一个候选人的判断与另一个候选人在场时效果的出现频率负相关的参与者表现出明显强于其他候选人的原因流行效应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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