Document Detail

Is causal induction based on causal power? Critique of Cheng (1997).
MedLine Citation:
PMID:  10687407     Owner:  NLM     Status:  MEDLINE    
The authors empirically evaluate P. W. Cheng's (1997) power PC theory of causal induction. They reanalyze some published data taken to support the theory and show instead that the data are at variance with it. Then, they report 6 experiments in which participants evaluated the causal relationship between a fictitious chemical and DNA mutations. The power PC theory assumes that participants' estimates are based on the causal power p of a potential cause, where p is the contingency between the cause and the effect normalized by the base rate of the effect. Three of the experiments used a procedure in which causal information was presented trial by trial. For these experiments, the power PC theory was contrasted with the predictions of the probabilistic contrast model and the Rescorla-Wagner theory. For the remaining 3 experiments, a summary presentation format was employed to which only the probabilistic contrast model and the power PC theory are applicable. The power PC theory was unequivocally contradicted by the results obtained in these experiments, whereas the other 2 theories proved to be satisfactory.
K Lober; D R Shanks
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Psychological review     Volume:  107     ISSN:  0033-295X     ISO Abbreviation:  Psychol Rev     Publication Date:  2000 Jan 
Date Detail:
Created Date:  2000-03-21     Completed Date:  2000-03-21     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0376476     Medline TA:  Psychol Rev     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  195-212     Citation Subset:  IM    
Department of Psychology, Philipps-Universität Marburg, Germany.
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MeSH Terms
Learning / physiology
Models, Statistical*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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