Peer Effects in Socio-Emotional Learning

Last registered on May 18, 2026

Pre-Trial

Trial Information

General Information

Title
Peer Effects in Socio-Emotional Learning
RCT ID
AEARCTR-0018592
Initial registration date
May 12, 2026

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
May 18, 2026, 4:20 AM EDT

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Locations

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Primary Investigator

Affiliation
Center for Experimental Economics in Education at Shaanxi Normal University

Other Primary Investigator(s)

PI Affiliation
Department of Economics, University College London
PI Affiliation
Center for Experimental Economics in Education, Shaanxi Normal University
PI Affiliation
Center for Experimental Economics in Education, Shaanxi Normal University
PI Affiliation
Center for Experimental Economics in Education, Shaanxi Normal University
PI Affiliation
Research Institute of Economics and Management, Southwestern University of Finance and Economics

Additional Trial Information

Status
On going
Start date
2026-04-01
End date
2028-12-31
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
This paper studies whether peer effects can be engineered within a school-based skill formation technology. We embed randomized peer exposure naturally into a two-year SEL curriculum in rural primary schools in China, assigning non-seed students to micro-groups that differ only in whether they are (randomly) joined by a high-achieving or median-achieving seed peer. This design creates a high-intensity, repeated, and pedagogically meaningful peer shock, allowing us to estimate how exposure to different peer types affects social-emotional skill formation and academic achievement.

Registration Citation

Citation
Carneiro, Pedro et al. 2026. "Peer Effects in Socio-Emotional Learning." AEA RCT Registry. May 18. https://doi.org/10.1257/rct.18592-1.0
Experimental Details

Interventions

Intervention(s)
Within each class, non-seed students are randomly assigned to small groups, and each group is assigned one seed student.
Treatment: Groups in the treatment condition are assigned a high-achieving seed student
Control: Groups in the control condition are assigned a median-achieving seed student.
Intervention Start Date
2026-04-27
Intervention End Date
2028-12-31

Primary Outcomes

Primary Outcomes (end points)
social emotional skills, mental health, student's academic performance.
Primary Outcomes (explanation)
The study uses data from the trial registered as AEARCTR-0018314. Academic performance is measured using administrative test records. Social-emotional skills and mental health are measured using standard instruments, including the CES-D and WCSD, complemented by student reports on relationships with parents, teachers, and peers.

Secondary Outcomes

Secondary Outcomes (end points)
1. compliance of group assignment, group interaction quality,students’ reflections on role models.
2. other non-cognitive skills, and relationship between parents, peer and teachers, parental time inputs
Secondary Outcomes (explanation)
Part 1 is new, not avaliable in baseline. We collect measures of group interaction quality at follow-up to explore potential mechanisms. This scale will cover dimensions such as support, group cohesion, task orientation, interpersonal trust, and role modelling.
Part 2 uses data from the SEL program survey.

Experimental Design

Experimental Design
It is embedded in an SEL program, whose full details are available in a separate registry (AEARCTR-0018314). The curriculum naturally involves group-based activities, such as role play, discussions of emotions, and peer sharing.
We leverage this setting by using baseline administrative test scores to identify 601 seed students, comprising approximately one quarter of students in the treatment schools. Treatment seeds are drawn from the top 12.5% of the baseline test-score distribution, while control seeds are drawn from around the 50th percentile.
The remaining non-seed students are randomly assigned to 601 small groups of approximately four students each. Within each class, groups are then randomly assigned to either the treatment or control condition: treatment groups are joined by a high-achieving seed student, while control groups are joined by a median-achieving seed student. This design creates experimental variation in peer composition and allows us to identify how exposure to higher-achieving peers shapes students’ engagement and social-emotional skill formation during the intervention.
When the required number of seed students is odd in a class, the additional seed is selected from the high-achieving seed pool. As a result, non-seed groups in these classes have a slightly higher probability of being assigned to the high-achieving seed condition.
The design is one-sided blinded. Neither teachers nor students are informed about the seed selection or group assignment process. Teachers are only told during training that the SEL curriculum involves group activities, that students have been organized into groups, and that they should seat students according to the provided group lists before each course session.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer
Randomization Unit
at the group level, with four students per group
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
74 schools, 601 peer groups
Sample size: planned number of observations
about 1750 non-seed students, and 601 seed students
Sample size (or number of clusters) by treatment arms
The sample includes 279 control groups and 322 treatment groups.
Because some classes contain an odd number of groups; in these cases, the group is randomly assigned to the high-achieving seed condition with slightly higher probability.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
With 322 treatment groups, 279 control groups, 3 non-seed students per group, and an ICC of 0.07, the minimum detectable effect is approximately 0.13 SD at 10% significance and 80% power. With baseline controls explaining 20% of outcome variation (non-cognitive outcomes), the MDE falls to 0.11 SD; with controls explaining 50% of outcome variation (test scores), it falls to 0.09 SD.
IRB

Institutional Review Boards (IRBs)

IRB Name
Academic Committee, Shaanxi Normal University
IRB Approval Date
2026-03-13
IRB Approval Number
GZK2026-135