Multi-dimensional performance requires multi-dimensional predictors: Predicting complex job performance using cognitive ability, personality and emotional intelligence assessment instruments as combinatorial predictors.

Item

Title
Multi-dimensional performance requires multi-dimensional predictors: Predicting complex job performance using cognitive ability, personality and emotional intelligence assessment instruments as combinatorial predictors.
Identifier
AAI3115266
identifier
3115266
Creator
Kostman, J. T.
Contributor
Adviser: Harold Goldstein
Date
2004
Language
English
Publisher
City University of New York.
Subject
Psychology, Industrial
Abstract
Cognitive ability has largely been recognized as the single best predictor of job performance across all organizations and positions. This research demonstrates that by adopting a multidimensional perspective to job performance, as opposed to the unitary perspective commonly adopted for purposes of convenience, alternative strategies for achieving organizational success can be demonstrated. In an inbound sales center, salespeople with relatively lower levels of General Mental Ability (GMA) who demonstrated relatively higher levels of Emotional Intelligence (EI), combined with specific personality dimensions, proved to be as successful as their more cognitively gifted colleagues. EI was also shown to predict performance sub-dimensions, such as teaming ability and customer service, which did not correspond to GMA. The addition of EI and specific personality dimensions also lent considerable incremental validity to GMA in predicting Net Sales. This study shows that when jobs are more realistically considered as complex amalgams of sub-tasks, non-cognitive predictors such as EI and aspects of personality may serve equally well, and even outperform, cognitive ability assessment instruments, in predicting vital dimensions of performance.
Type
dissertation
Source
PQT Legacy CUNY.xlsx
degree
Ph.D.
Item sets
CUNY Legacy ETDs