{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1125"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1125","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Cognitive ability and computer simulation","abstract":"General Mental Ability (GMA) is the single strongest predictor of future work performance currently available. Tests of GMA used for selection purposes carry potential for adverse impact if used as a primary tool for employee selection; however, a factor of GMA known as Fluid Intelligence (Gf) should represent a more equitable assessment construct. Computer simulations appear to offer some beneficial attributes for selection purposes, but potential negative effects of GMA assessment may carry over to the new medium. In this study, I successfully used a computer simulated game to approximate two tests of Gf with a study of both pilot and in-person samples. Results indicated that a person's prior experience and skill with computer simulated games does not influence predictions of Gf using a simulated game.","abstract_html":"General Mental Ability (GMA) is the single strongest predictor of future work performance currently available. Tests of GMA used for selection purposes carry potential for adverse impact if used as a primary tool for employee selection; however, a factor of GMA known as Fluid Intelligence (Gf) should represent a more equitable assessment construct. Computer simulations appear to offer some beneficial attributes for selection purposes, but potential negative effects of GMA assessment may carry over to the new medium. In this study, I successfully used a computer simulated game to approximate two tests of Gf with a study of both pilot and in-person samples. Results indicated that a person's prior experience and skill with computer simulated games does not influence predictions of Gf using a simulated game.","abstract_has_math":false,"creators":["Buford, Charles C."],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["O'Leary, Brian J.","Cunningham, Christopher J. 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Results indicated that a person's prior experience and skill with computer simulated games does not influence predictions of Gf using a simulated game."]},{"key":"dc:title","label":"Title","values":["Cognitive ability and computer simulation"]}]}],"canonical_facts":{"dc:contributor":["O'Leary, Brian J.","Cunningham, Christopher J. L.; Biderman, Michael D.; Dumas, Joe","College of Arts and Sciences"],"dc:creator":["Buford, Charles C."],"dc:date":["2014-05-01T07:00:00Z"],"dc:description":["Dept. of Psychology","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["General Mental Ability (GMA) is the single strongest predictor of future work performance currently available. 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