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Emotional intelligence predicts academic performance: a meta-analysis

Abstract:
Schools and universities devote considerable time and resources to developing students’ social and emotional skills, such as emotional intelligence (EI). The goals of such programs are partly for personal development but partly to increase academic performance. The current meta-analysis examines the degree to which student EI is associated with academic performance. We found an overall effect of .20 using robust variance estimation (N 42,529, k 1,246 from 158 citations). The association is significantly stronger for ability EI ( .24, k 50) compared with self-rated ( .12, k 33) or mixed EI ( .19, k 90). Ability, self-rated, and mixed EI explained an additional 1.7%, 0.7%, and 2.3% of the variance, respectively, after controlling for intelligence and big five personality. Understanding and management branches of ability EI explained an additional 3.9% and 3.6%, respectively. Relative importance analysis suggests that EI is the third most important predictor for all three streams, after intelligence and conscientiousness. Moderators of the effect differed across the three EI streams. Ability EI was a stronger predictor of performance in humanities than science. Self-rated EI was a stronger predictor of grades than standardized test scores. We propose that three mechanisms underlie the EI/academic performance link: (a) regulating academic emotions, (b) building social relationships at school, and (c) academic content overlap with EI. Different streams of EI may affect performance through different mechanisms. We note some limitations, including the lack of evidence for a causal direction.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1037/bul0000219

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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Education
Department:
Unknown
Role:
Author
ORCID:
0000-0001-8120-1573


Publisher:
American Psychological Association
Journal:
Psychological Bulletin More from this journal
Publication date:
2019-12-12
Acceptance date:
2019-10-22
DOI:
EISSN:
1939-1455
ISSN:
0033-2909


Pubs id:
pubs:1073494
UUID:
uuid:0a45dd6a-1873-46e8-ba29-9485995280c9
Local pid:
pubs:1073494
Source identifiers:
1073494
Deposit date:
2019-11-22
ARK identifier:

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