Broad and Narrow Personality Traits As Predictors of Academic Performance

Abstract

The current paper address the importance of personality trends in predicting academic performance. The archival data set for this study consisted of 189 participants drawn from the university's online research system at a state university in the southeastern United States. The aim of the study was to investigate the importance of noncognitive factors as predictors of academic performance. In particular, this study examined the relationship between personality traits, as assessed by the International Personality Item Pool (IPIP) version of the Revised NEO Personality Inventory (NEO-PI R), and academic performance (International Personality Item Pool, n.d.). In addition, this study contributes to the existing research by examining which personality factors best predict academic performance. The benefits of this study include providing a basis for further research of noncognitive factors in the selection system of a university in the southeastern United States