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Emotional intelligence predicts academic performance: a meta-analysis

Authors :
Kit S. Double
Yixin Jiang
Micaela Bucich
Carolyn MacCann
Luke E. R. Brown
Amirali Minbashian
Source :
Psychological Bulletin.
Publication Year :
2019

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 ρ = .20 using robust variance estimation (N = 42,529, k = 1,246 from 158 citations). The association is significantly stronger for ability EI (ρ = .24, k = 50) compared with self-rated (ρ = .12, k = 33) or mixed EI (ρ = .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. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

Details

ISSN :
19391455 and 00332909
Database :
OpenAIRE
Journal :
Psychological Bulletin
Accession number :
edsair.doi.dedup.....cc18f5ce1fac399c4293ee1e981103a5