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Social and Behavioral Sciences Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Cognitive Ability And Computer Simulation, Charles C. Buford
Cognitive Ability And Computer Simulation, Charles C. Buford
Masters Theses and Doctoral Dissertations
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 …
Examination Of Personality Characteristics Among Cybersecurity And Information Technology Professionals, Sarah E. Freed
Examination Of Personality Characteristics Among Cybersecurity And Information Technology Professionals, Sarah E. Freed
Masters Theses and Doctoral Dissertations
An influx of cyber-attacks throughout the past decade has resulted in an increase in demand for cybersecurity professionals. However, the rapid growth of this field has led to a general lack of knowledge regarding the characteristics of individuals and job roles of cybersecurity professionals. This study addresses this gap in the existing literature by evaluating personality characteristics among information technology and cybersecurity professionals. Following an analysis of the facets of the IPIP NEO short form, it was discovered that cybersecurity professionals scored significantly different on Trust, Intellect, Vulnerability, Self-Consciousness, Assertiveness, and Adventurousness when compared to other information technology professional indicating …
Exploring The Use Of Non-Cognitive Factors In Predicting College Academic Outcomes, Ashley D. Cooper
Exploring The Use Of Non-Cognitive Factors In Predicting College Academic Outcomes, Ashley D. Cooper
Masters Theses and Doctoral Dissertations
The present study evaluated the incremental utility of a blended model of cognitive and non-cognitive variables versus a cognitive-only set of variables to predict academic success among new college students. Traditional cognitive predictors include high school grade point average and ACT scores. The non-cognitive factors of interest were grit, goal orientation, and academic self-efficacy. It was hypothesized that the blended model would demonstrate stronger predictive validity than cognitive predictors alone, grit would be associated with goal orientations and academic self-efficacy, and that academic self-efficacy would mediate the relationship between other non-cognitive predictors and academic success outcomes. The results from archival …