Document Detail


Signal-detection analysis of group decision making.
MedLine Citation:
PMID:  11212627     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
How effectively can groups of people make yes-or-no decisions? To answer this question, we used signal-detection theory to model the behavior of groups of human participants in a visual detection task. The detection model specifies how performance depends on the group's size, the competence of the members, the correlation among members' judgments, the constraints on member interaction, and the group's decision rule. The model also allows specification of performance efficiency, which is a measure of how closely a group's performance matches the statistically optimal group. The performance of our groups was consistent with the theoretical predictions, but efficiency decreased as group size increased. This result was attributable to a decrease in the effort that members gave to their individual tasks rather than to an inefficiency in combining the information in the members' judgments.
Authors:
R D Sorkin; C J Hays; R West
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Publication Detail:
Type:  Clinical Trial; Journal Article; Randomized Controlled Trial; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.    
Journal Detail:
Title:  Psychological review     Volume:  108     ISSN:  0033-295X     ISO Abbreviation:  Psychol Rev     Publication Date:  2001 Jan 
Date Detail:
Created Date:  2001-02-12     Completed Date:  2001-03-08     Revised Date:  2008-11-21    
Medline Journal Info:
Nlm Unique ID:  0376476     Medline TA:  Psychol Rev     Country:  United States    
Other Details:
Languages:  eng     Pagination:  183-203     Citation Subset:  IM    
Affiliation:
Department of Psychology, University of Florida, P.O. Box 112250, Gainesville, Florida 32611, USA. sorkin@ufl.edu
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MeSH Terms
Descriptor/Qualifier:
Decision Making*
Female
Group Processes*
Humans
Male
Models, Psychological
Regression Analysis
Signal Detection, Psychological*
Visual Perception*

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


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