Abstract
dc:description.abstractGeneral 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.
Degree
thesis:*- Grantor dc:publisher
- University of Tennessee at Chattanooga
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Buford, Charles C.
- Contributors dc:contributor
-
- O'Leary, Brian J.
- Cunningham, Christopher J. L.; Biderman, Michael D.; Dumas, Joe
- College of Arts and Sciences
Subjects
dc:subject × 1Rights
dc:rights- Language dc:language
- English, eng
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholar.utc.edu/theses/126
- OAI identifier oai:identifier
- oai:scholar.utc.edu:theses-1125