The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The Dispositional Sources of Job Satisfaction: A Comparative Test
Abstract
This study related three personality taxonomies—positive affectivity and negative affectivity (PA and NA), the five‐factor model (the “Big Five”), and core self‐evaluations—to job satisfaction in an integrative test. In a longitudinal design with multi‐source data, results indicated that the traits from all three taxonomies generally were significantly related to job satisfaction, even when the traits and job satisfaction were measured with independent sources. However, when all three typologies were examined concurrently, the core self‐evaluations typology was the only typology that was significantly related to job satisfaction. The study extends research on the validation of these frameworks by assessing convergent and discriminant validity issues, and shows that core self‐evaluations adds to our understanding of the dispositional source of job satisfaction.
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Cites
Validation of the five-factor model of personality across instruments and observers.
McCrae, R. R., & Costa, P. T. (1987) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.52.1.81 · Cited by 6,404
Resilience in the Face of Catastrophe: Optimism, Personality, and Coping in the Kosovo Crisis
Riolli, L., Savicki, V., & Cepani, A. (2002) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2002.tb02765.x · Cited by 2,166
Five-factor model of personality and job satisfaction: A meta-analysis.
Judge, T. A., Heller, D., & Mount, M. K. (2002) · Journal of Applied Psychology · doi:10.1037/0021-9010.87.3.530 · Cited by 2,164
Self-citationExtraversion and Its Positive Emotional Core
Watson, D., & Clark, L. A. (1997) · Handbook of Personality Psychology · doi:10.1016/b978-012134645-4/50030-5 · Cited by 1,081
Mood and the mundane: Relations between daily life events and self-reported mood.
Clark, L. A., & Watson, D. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.2.296 · Cited by 784
Measurement error in psychological research: Lessons from 26 research scenarios.
Schmidt, F. L., & Hunter, J. E. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.2.199 · Cited by 567 · cited 2×
“To simplify the regression results, and to remove the biasing effects of transient error (Schmidt & Hunter, 1996), the traits and self-reported job satisfaction scores were averaged over Time 1 and Time 2 prior to entering the traits in the regressions.”
Method
Cited by
Core Self-Evaluations: A Review and Evaluation of the Literature
Chang, C.-H. (., Ferris, D. L., Johnson, R. E., Rosen, C. C., & Tan, J. A. (2012) · Journal of Management · doi:10.1177/0149206311419661 · Cited by 608
Training career adaptability to facilitate a successful school-to-work transition
Koen, J., Klehe, U.-C., & Van Vianen, A. E. M. (2012) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2012.10.003 · Cited by 561
Job engagement, job satisfaction, and contrasting associations with person–job fit.
Warr, P., & Inceoglu, I. (2012) · Journal of Occupational Health Psychology · doi:10.1037/a0026859 · Cited by 323
Work experiences on MTurk: Job satisfaction, turnover, and information sharing
Brawley, A. M., & Pury, C. L. S. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.08.031 · Cited by 188
Flynn, C. B., Smither, J. W., & Walker, A. G. (2016) · Journal of Leadership & Organizational Studies · doi:10.1177/1548051815621257 · Cited by 63
Metadata
- Authors
- Judge, T. A., Heller, D., & Klinger, R.
- Venue
- Applied Psychology
- Publisher
- Wiley
- Published
- 2008-02
- Volume
- 57
- Issue
- 3
- Pages
- 361-372
- ISSN
- 0269-994X (ISSN-L)
- 1464-0597
- OpenAlex
- W2095654271
- Cited by
- 200
- References
- 6
- FWCI
- 18.23
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
