Evidence map›Paper›PMID 38280178›Full record

SynthesisJournal of youth and adolescence2024

Effective Components of Social Emotional Learning Programs: A Meta-analysis.

Jieping Shi, Alan C K Cheung

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of youth and adolescence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Developing kind emotions in caring environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jieping ShiFaculty of Education, Beijing Normal University, Beijing, China. shijieping@bnu.edu.cn.ORCID http://orcid.org/0000-0003-2747-5674
Alan C K CheungDepartment of Educational Administration & Policy, The Chinese University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous reviews have synthesized the impacts of universal school-based social emotional learning (SEL) programs. However, they have yet to attempt a meta-analytic approach with rigorous inclusion criteria to identify the key SEL components and explore what make these programs work. This study aims to fill that gap by examining the impacts of SEL programs and exploring the moderating effects of methodological characteristics, implementation features, and program components on SEL effectiveness. The final sample consisted of 12 high-quality SEL programs, 59 studies, and 83,233 participants, with an overall effect size of 0.15. Meta-regression results indicated that these SEL programs could significantly improve youth social emotional skills, reinforce affect and attitudes, promote academic performance, increase prosocial behaviors, and reduce antisocial behaviors. Training teachers' social emotional skills and reducing cognitive elements in SEL curricula were found to be effective components of SEL programs, whereas pedagogical activities, climate support, and family engagement were not. Large-scale studies of SEL programs tended to generate smaller effect sizes, and those with low program dosages were found to be less effective than those approaching the recommended dosage. Policy and practical implications on how to scale SEL programs are discussed.

Indexed as

Social LearningAdolescentCognitionEmotionsHumansSchoolsSocial SkillsMeta-analysisMeta-regressionSocial emotional learningTeacher social emotional skills

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.