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University of Tennessee at Chattanooga

Cognitive ability and computer simulation

Abstract

dc:description.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.

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 × 1

Rights

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

Chain of custody

source
Harvested from
University of Tennessee - Chattanooga
Base URL
scholar.utc.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Buford, Charles C.. Cognitive ability and computer simulation. University of Tennessee at Chattanooga, https://scholar.utc.edu/theses/126