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The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

The Construct and Criterion Validity of Emotional Intelligence and Its Potential Utility for Management Studies.

Law, Kenneth S., Wong, Chi-Sum, Song, Lynda J.·2004·Journal of Applied Psychology

Abstract

In this study, the authors reviewed the definition of emotional intelligence (EI) and argued that El is conceptually distinct from personality. In Study 1, the authors showed that EI was related to yet distinct from personality dimensions and that it had incremental predictive power on life satisfaction. The authors examined the construct validity of self-reports and others' ratings of EI using two samples in Study 2. In a student sample, parents' ratings explained additional variance in the students' life satisfaction and feelings of powerlessness after controlling for the Big Five personality dimensions. In the work sample, peer ratings were found to be significant predictors of job performance ratings provided by supervisors after controlling for the Big Five personality dimensions. Other implications for future research on EI are discussed.

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Metadata

Authors
Law, K. S., Wong, C.-S., & Song, L. J.
Venue
Journal of Applied Psychology
Published
2004-06
Volume
89
Issue
3
Pages
483-496
ISSN
  • 0021-9010 (ISSN-L)
  • 1939-1854
OpenAlex
W1998814212
Cited by
1,404
References
9
FWCI
34.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Construct and Criterion Validity of Emotional Intelligence and Its Potential Utility for Management Studies. https://app.cochat.ai/papers/10.1037/0021-9010.89.3.483
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Law, K. S., Wong, C.-S., & Song, L. J. (2004). The Construct and Criterion Validity of Emotional Intelligence and Its Potential Utility for Management Studies. Journal of Applied Psychology. https://doi.org/10.1037/0021-9010.89.3.483

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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.