The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
How Efficient Are Emotional Intelligence Trainings: A Meta-Analysis
Abstract
This multilevel meta-analysis examines whether emotional intelligence (EI) can be enhanced through training and identifies training effects’ determinants. We identified 24 studies containing 28 samples aiming at increasing individual-level EI among healthy adults. The results revealed a significant moderate standardized mean change between pre- and post-measurement for the main effect of EI training, and a stable pre- to follow-up effect. Additionally, the type of EI model, dimensions of the four branch model, length, and type of publication turned out to be significant moderators. The results suggest that EI trainings should be considered effective interventions.
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Cites
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Cited by
Emotional intelligence predicts academic performance: a meta-analysis
MacCann, C., Jiang, Y., Brown, L. E. R., Double, K. S., Bucich, M., & Minbashian, A. (2020) · Psychological Bulletin · doi:10.1037/bul0000219 · Cited by 1,121
Improving Emotional Intelligence: A Systematic Review of Existing Work and Future Challenges
Kotsou, I., Mikolajczak, M., Heeren, A., Grégoire, J., & Leys, C. (2019) · Emotion Review · doi:10.1177/1754073917735902 · Cited by 365
Emotional intelligence and teacher burnout: A systematic review
Mérida-López, S., & Extremera, N. (2017) · International Journal of Educational Research · doi:10.1016/j.ijer.2017.07.006 · Cited by 328
Gilar-Corbi, R., Pozo-Rico, T., Sánchez, B., & Castejón, J.-L. (2019) · PLOS ONE · doi:10.1371/journal.pone.0224254 · Cited by 102
Mérida-López, S., Extremera, N., & Rey, L. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00184 · Cited by 24
Metadata
- Authors
- Hodzic, S., Scharfen, J., Ripoll, P., Holling, H., & Zenasni, F.
- Venue
- Emotion Review
- Publisher
- SAGE Publications
- Published
- 2017-09-07
- Volume
- 10
- Issue
- 2
- Pages
- 138-148
- ISSN
- 1754-0739 (ISSN-L)
- 1754-0747
- OpenAlex
- W2751199064
- Cited by
- 382
- References
- 65
- FWCI
- 3.86
- 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.
