Information Sampling During Group Performance
{'Code': '04040500', 'Directorate': {'Abbreviation': 'SBE', 'LongName': 'Direct For Social, Behav & Economic Scie'}, 'Division': {'Abbreviation': 'BCS', 'LongName': 'Division Of Behavioral and Cognitive Sci'}}
{'SignBlockName': 'Jean B. Intermaggio'}
When solving a problem or making a decision, small groups can                   potentially benefit from having members who can contribute a                    diversity of knowledge and insights.  Previous research suggests,               however, that decision.making groups (i.e., groups asked to make                a judgment) often fail to consider information that is held by                  single members.  Face.to.face, unstructured discussion focuses on               information that all members already know, and, as a result,                    groups frequently overlook an option that is favored by their                   collective knowledge.  The proposed  research will examine the                  extent to which this phenomenon generalizes to groups that are                  solving a problem with a demonstratably correct answer.                         Additionally, the research will examine the role of strategically               composed minority factions in facilitating more effective                       information exchange during group discussion.  By tracking the                  flow and impact of information during discussion, the research                  will also provide data needed to refine the DISCUSS model of                    group decision making.  This model simulates the sampling and use               of information during face.to.face discussion en route to a group               decision.  It provides a convenient way of representing the                     complexities of group interaction and of examining the                          implications of changes in group composition (e.g., size and                    factional representation) and task demands (e.g., number of                     decision options or possible solutions and information load).
{'FirstName': 'Garold', 'LastName': 'Stasser', 'EmailAddress': 'stasseGL@miamioh.Edu', 'StartDate': '07/01/1988', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'Miami University', 'CityName': 'Oxford', 'ZipCode': '450563653', 'PhoneNumber': '5135293600', 'StreetAddress': '500 E High Street', 'CountryName': 'United States', 'StateName': 'Ohio', 'StateCode': 'OH'}
{'Code': '1332', 'Text': 'SOCIAL PSYCHOLOGY'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1987&All=true', 'xml': '8721844.xml'}