Document Detail

Typical versus atypical unpacking and superadditive probability judgment.
MedLine Citation:
PMID:  15099126     Owner:  NLM     Status:  MEDLINE    
Probability judgments for packed descriptions of events (e.g., the probability that a businessman does business with a European country) are compared with judgments for unpacked descriptions of the same events (e.g., the probability that a businessman does business with England, France, or some other European country). The prediction that unpacking can decrease probability judgments, derived from the hypothesis that category descriptions are interpreted narrowly in terms of typical instances, is contrasted to the prediction of support theory that unpacking will generally increase judged probabilities (A. Tversky & D. J. Koehler, 1994). The authors varied the typicality of unpacked instances and found no effect of unpacking with typical instances (additivity) and a negative effect with atypical instances (superadditivity). Support theory cannot account for these findings in its current formulation.
Steven Sloman; Yuval Rottenstreich; Edward Wisniewski; Constantinos Hadjichristidis; Craig R Fox
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Journal of experimental psychology. Learning, memory, and cognition     Volume:  30     ISSN:  0278-7393     ISO Abbreviation:  J Exp Psychol Learn Mem Cogn     Publication Date:  2004 May 
Date Detail:
Created Date:  2004-04-21     Completed Date:  2004-09-07     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8207540     Medline TA:  J Exp Psychol Learn Mem Cogn     Country:  United States    
Other Details:
Languages:  eng     Pagination:  573-82     Citation Subset:  IM    
Cognitive and Linguistic Sciences, Brown University, Providence, RI 02912, USA.
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MeSH Terms
Models, Psychological
Psychological Theory*

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

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