The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Is There a General Factor in Ratings of Job Performance? A Meta-Analytic Framework for Disentangling Substantive and Error Influences.
Abstract
A database integrating 90 years of empirical studies reporting intercorrelations among rated job performance dimensions was used to test the hypothesis of a general factor in job performance. After controlling for halo error and 3 other sources of measurement error, there remained a general factor in job performance ratings at the construct level accounting for 60% of total variance. Construct-level correlations among rated dimensions of job performance were substantially inflated by halo for both supervisory (33%) and peer (63%) intrarater correlations. These findings have important implications for the measurement of job performance and for theories of job performance.
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Cites
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Self-citationTHEORY TESTING: COMBINING PSYCHOMETRIC META‐ANALYSIS AND STRUCTURAL EQUATIONS MODELING
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Cited by
Answers to 20 questions about interrater reliability and interrater agreement
LeBreton, J. M., & Senter, J. L. (2008) · Organizational Research Methods · doi:10.1177/1094428106296642 · Cited by 3,608
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Personality development and organizational behavior.
Roberts, B. W. (2006) · Research in Organizational Behavior · doi:10.1016/s0191-3085(06)27001-1 · Cited by 177
Meyer, R. D., Dalal, R. S., & Bonaccio, S. (2009) · Journal of Organizational Behavior · doi:10.1002/job.602 · Cited by 145
Metadata
- Authors
- Viswesvaran, C., Schmidt, F. L., & Ones, D. S.
- Venue
- Journal of Applied Psychology
- Published
- 2005
- Volume
- 90
- Issue
- 1
- Pages
- 108-131
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W1969719348
- Cited by
- 411
- References
- 15
- FWCI
- 33.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Viswesvaran, C., Schmidt, F. L., & Ones, D. S. (2005). Is There a General Factor in Ratings of Job Performance? A Meta-Analytic Framework for Disentangling Substantive and Error Influences. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.90.1.108
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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.
