ISSN 0439-755X
CN 11-1911/B
主办:中国心理学会
   中国科学院心理研究所
出版:科学出版社

心理学报 ›› 2004, Vol. 36 ›› Issue (02): 160-167.

• • 上一篇    下一篇

因果力比较范式下对效力PC理论的检验

王墨耘,傅小兰   

  1. 中国科学院心理研究所认知实验室,北京 100101
  • 收稿日期:2003-06-05 修回日期:2003-06-05 发布日期:2004-03-30 出版日期:2004-03-30
  • 通讯作者: 傅小兰

A TEST ON THE POWER PC THEORY WITH THE PARADIGM OF COMPARING CAUSAL POWER

Wang Moyun, Fu Xiaolan   

  1. Laboratary of Cognition, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101 China
  • Received:2003-06-05 Revised:2003-06-05 Online:2004-03-30 Published:2004-03-30
  • Contact: Fu Xiaolan

摘要: 在用图形方式集中呈现信息的条件下,用因果力大小比较的实验范式检验效力PC理论。233名大学生被试对不同化学药物影响动物基因变异的能力做大小比较判断。结果发现,对单一因果关系因果力大小的比较判断具有以下3个特点:(1)不对称性:在预防原因条件下的因果力判断一般符合效力PC理论,而在产生原因条件下的因果力判断一般不符合效力PC理论;(2)在同时变化协变值DP和结果基率P(E|~C)的产生原因条件下,多数被试使用DP规则。这与概率对比模型的预测相一致,而不支持效力PC理论;(3)在固定协变值DP而只变化结果基率P(E|~C)的产生原因条件下,多数被试使用变异比RP规则。这是目前所有的因果推理理论都不能解释的现象。

关键词: 效力PC理论, 概率对比模型, 因果力比较, 集中呈现, 图形表示, 不对称性

Abstract: The Power PC theory was tested by using the concentrative presentation of graph representation of information and the paradigm of comparing causal power. The participants were 233 college students. The results showed that comparative judgments of causal power of single causal relationships had the following characteristics: (a) Most judgments were in accord with the Power PC theory in the conditions of preventive causes, but conversely most judgments were not in accord with the theory in the conditions of generative causes, (b) in the condition of generative causes with simultaneous changes of the covariation coefficient and the base rate of the effect, most participants used the DP rule of probabilistic contrast model, which was not in accord with the Power PC theory, and (c) in the condition of generative causes with the change of the base rate of the effect and the constant covariation coefficient, most participants used the RP rule, which couldn’t be explained by all known theories of causal reasoning.

Key words: Power PC theory, Probabilistic Contrast Model, comparative judgments of causal power, concentrative presentation, graph representation of information, unsymmetry

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