O'Leary, Brian J.
Cunningham, Christopher J. L.; Biderman, Michael D.; Dumas, Joe
College of Arts and Sciences
University of Tennessee at Chattanooga
Place of Publication
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.
This work would not have been possible if not for the researchers who have expended a tremendous amount of effort and time over the years to teach me the principles and methods of ethical research. To Dr.'s Brian O'Leary, Eric Seemann, Christopher Cunningham, Jodi Price, Mike Biderman, and Aurora Torres; your time with me has made a difference. To my friends who have enriched my life so much, I hope that I've been able to enrich yours half as well. A project like this takes a great deal of work from many sources and attempts to combine them to bring out the best of our discipline's knowledge. The research programs offered by Wonderlic, Pearson, and Western Psychological Services have gone a long way towards making this study financially possible. UTC's Provost Research Award provided the funding used to purchase the tools and equipment needed for this project. Without the research discounts from these publishers and funding through UTC, this research could not have taken place. Thank you for your support!
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.
Industrial and Organizational Psychology
xi, 50 leaves
Buford, Charles C., "Cognitive ability and computer simulation" (2014). Masters Theses and Doctoral Dissertations.