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Updated: Sep 21, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
Published on: September 4, 2019
Exploring social-emotional learning, school climate, and social network analysis
Maria Xu, Marisa MacDonnell1, Angela Wang1
1Psychology Department, Rutgers, The State University of New Jersey, Piscataway, New Jersey, USA.
Student peer leadership programs can positively influence school environments. Findings show student leaders, or Ambassadors, have higher leadership scores, and their influence may spread, highlighting the need for effective school leaders.
Area of Science:
- Educational Psychology
- Social Network Analysis
- School Climate Research
Background:
- Limited research exists on student peer leadership within social-emotional literature.
- Understanding peer relationships is crucial for effective school environments and interventions.
- Social network analysis offers a novel approach to studying peer dynamics.
Purpose of the Study:
- To explore the structure of school peer relationships, peer leadership, and school climate.
- To investigate the role and impact of designated student leaders (Ambassadors) on peer networks.
- To analyze the relationship between peer leadership, network centrality, and school climate.
Main Methods:
- Employed exploratory social network analysis techniques.
- Utilized self-report surveys on perceptions of peer leadership and school climate.
- Calculated closeness and indegree centrality from peer leadership survey data.
Main Results:
- Student Ambassadors demonstrated significantly higher peer-nominated leadership scores.
- Ambassadors showed no change in network centrality, while non-Ambassadors increased.
- School climate was not correlated with leadership centrality scores in this study.
Conclusions:
- Peer leadership influence appears to spread, suggesting a potential diffusion effect among students.
- The findings underscore the importance of identifying and supporting good leaders in schools.
- Future research should incorporate behavioral data to better understand influence dynamics in social-emotional interventions.
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