Relationship of personality to performance motivation: A meta-analytic review.

Timothy A. Judge, Remus Ilieș·2002·Journal of Applied Psychology

Abstract

This article provides a meta-analysis of the relationship between the five-factor model of personality and 3 central theories of performance motivation (goal-setting, expectancy, and self-efficacy motivation). The quantitative review includes 150 correlations from 65 studies. Traits were organized according to the five-factor model of personality. Results indicated that Neuroticism (average validity = -.31) and Conscientiousness (average validity = .24) were the strongest and most consistent correlates of performance motivation across the 3 theoretical perspectives. Results further indicated that the validity of 3 of the Big Five traits--Neuroticism, Extraversion, and Conscientiousness--generalized across studies. As a set, the Big Five traits had an average multiple correlation of .49 with the motivational criteria, suggesting that the Big Five traits are an important source of performance motivation.

Cites (8)

  1. THE BIG FIVE PERSONALITY DIMENSIONS AND JOB PERFORMANCE: A META‐ANALYSIS
    BARRICK, MURRAY R., MOUNT, MICHAEL K. · 1991 · Personnel Psychology
  2. The job satisfaction–job performance relationship: A qualitative and quantitative review.
    Judge, Timothy A., Thoresen, Carl J., Bono, Joyce E., Patton, Gregory K. · 2001 · Psychological Bulletin
  3. Methods of Meta-Analysis
    Hunter, John, Schmidt, Frank · 2004
  4. A contrarian view of the five-factor approach to personality description.
    Block, Jack · 1995 · Psychological Bulletin
  5. Extraversion and Its Positive Emotional Core
    Watson, David, Clark, Lee Anna · 1997 · Handbook of Personality Psychology
  6. THEORY TESTING: COMBINING PSYCHOMETRIC META‐ANALYSIS AND STRUCTURAL EQUATIONS MODELING
    VISWESVARAN, CHOCKALINGAM, ONES, DENIZ S. · 1995 · Personnel Psychology
  7. Procrastination in college students: the role of self-efficacy and anxiety.
    Haycock, Laurel A., McCarthy, Patricia, Skay, Carol L. · 1998 · Journal of Counseling & Development
  8. Hierarchical subcomponents of the Big Five personality factors: A cross-language replication.
    Saucier, Gerard, Ostendorf, Fritz · 1999 · Journal of Personality and Social Psychology

Show all 8 references

Cited by (39)

  1. The nature of procrastination: a meta-analytic and theoretical review of quintessential self-regulatory failure.
    Steel, Piers · 2007 · Psychological bulletin
  2. WORK ENGAGEMENT: A QUANTITATIVE REVIEW AND TEST OF ITS RELATIONS WITH TASK AND CONTEXTUAL PERFORMANCE
    CHRISTIAN, MICHAEL S., GARZA, ADELA S., SLAUGHTER, JEREL E. · 2011 · Personnel Psychology
  3. A meta-analysis of the five-factor model of personality and academic performance.
    Poropat, Arthur E. · 2009 · Psychological Bulletin
  4. Do Psychosocial and Study Skill Factors Predict College Outcomes? A Meta-Analysis.
    Robbins, Steven B., Lauver, Kristy, Le, Huy, Davis, Daniel, Langley, Ronelle, Carlstrom, Aaron · 2004 · Psychological Bulletin
  5. The Power of Personality: The Comparative Validity of Personality Traits, Socioeconomic Status, and Cognitive Ability for Predicting Important Life Outcomes
    Roberts, Brent W., Kuncel, Nathan R., Shiner, Rebecca, Caspi, Avshalom, Goldberg, Lewis R. · 2007 · Perspectives on Psychological Science

See all 1,291

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Relationship of personality to performance motivation: A meta-analytic review. https://app.cochat.ai/papers/10.1037//0021-9010.87.4.797
The paper
Judge, T. A., & Ilieș, R. (2002). Relationship of personality to performance motivation: A meta-analytic review. Journal of Applied Psychology. https://doi.org/10.1037//0021-9010.87.4.797

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.