An examination of the dynamic validities of cognitive ability and personality measures with performance


Autoria(s): Thomas, Lisa L.
Contribuinte(s)

Drasgow, Fritz

Drasgow, Fritz

Wunder, Steve

Roberts, Brent W.

Hulin, Charles L.

Anderson, Carolyn J.

Kuncel, Nathan

Data(s)

14/01/2011

14/01/2011

01/12/2010

14/01/2011

01/12/2010

Resumo

Prior research shows that both cognitive ability (Schmidt & Hunter, 1998) and personality measures (Poropat, 2009; Hough & Furnham, 2003) are valid predictors of job performance. The dynamic nature of the relationships between cognitive ability and personality measures with performance over time spent on the job is less understood and thus this paper explores their relationships. Although there is much research to suggest that the predictive relationship between cognitive ability and performance decreases over years of tenure (e.g., Hulin, Henry, & Noon, 1990), other research suggests that the relationship between cognitive ability and performance will increase over time (Kolz, McFarland, & Silverman, 1988). In regard to personality, this study provides a critical test of two competing theories. The first position holds that the validity of personality degrades over time. Support for this position comes from the “ubiquitous” nature of the simplex pattern in individual differences (Humphreys, 1985). It follows that personality validities should perform like cognitive ability in this respect, and thus decline over time. In contrast to this viewpoint, the alternative position contends that the predictive relationship between personality variables and performance increases over time, with the correlation becoming larger in magnitude and more positive in direction over years of tenure. The results of this study support the latter position; personality validities predicted long term performance outcomes.

Identificador

http://hdl.handle.net/2142/18398

Idioma(s)

en

Direitos

Copyright 2010 Lisa Lynn Thomas

Palavras-Chave #Dynamic criteria #Dynamic performance #Personality #Longitudinal data #Validity over time