Team effectiveness: Beyond skills and cognitive ability.
Abstract
On the basis of job analysis results, the validity of using measures of general cognitive ability, job-specific skills, and personality traits jointly at both the individual level and the group level to predict the performance of 79 four-person, human resource work teams was evaluated. Team member trait and job skill scores were aggregated with a conjunctive model of task performance. At the individual level of analysis, measures of personality (i.e., Agreeableness and Conscientiousness) predicted peer ratings of team member performance beyond measures of job-specific skills and general cognitive ability. Similarly, at the group level of analysis, both Agreeableness and Conscientiousness predicted supervisor ratings of work team performance, objective measures of work team accuracy, and work completed. At both the individual and group levels, the trait of Agreeableness predicted Interpersonal Skills.
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Cited by (15)
- A personality trait-based interactionist model of job performanceTett, Robert P., Burnett, Dawn D. · 2003 · Journal of Applied Psychology
- Work Group Diversityvan Knippenberg, Daan, Schippers, Michaéla C. · 2007 · Annual Review of Psychology
- Leadership in teams: A functional approach to understanding leadership structures and processesMorgeson, Frederick P., DeRue, D. Scott, Karam, Elizabeth P. · 2010 · Journal of Management
- INDIVIDUAL CREATIVITY AND GROUP ABILITY TO UTILIZE INDIVIDUAL CREATIVE RESOURCES: A MULTILEVEL MODEL.Taggar, S. · 2002 · Academy of Management Journal
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Team effectiveness: Beyond skills and cognitive ability. https://app.cochat.ai/papers/10.1037//0021-9010.84.3.376
- The paper
- Neuman, G. A., & Wright, J. (1999). Team effectiveness: Beyond skills and cognitive ability. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.84.3.376
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.