Academic well-being and structural characteristics of peer networks in school

Peer networks at school and students’ position in these networks can influence their academic well-being. We study here individual students’ network position (isolation, popularity, social activity) and peer network structures at the school level (centralization, density, clustering, school connecte...

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Bibliographic Details
Main Author: Rimpelä, Arja (author)
Other Authors: Kinnunen, Jaana M. (author), Lindfors, Pirjo (author), Soto, Victoria Eugenia (author), Salmela-Aro, Katariina (author), Perelman, Julian (author), Federico, Bruno (author), Lorant, Vincent (author)
Format: article
Language:eng
Published: 2020
Subjects:
Online Access:http://hdl.handle.net/10362/98693
Country:Portugal
Oai:oai:run.unl.pt:10362/98693
Description
Summary:Peer networks at school and students’ position in these networks can influence their academic well-being. We study here individual students’ network position (isolation, popularity, social activity) and peer network structures at the school level (centralization, density, clustering, school connectedness) and their relations to students’ academic well-being (school burnout, SB; schoolwork engagement, SE). Classroom surveys for 14-16-year-olds (N = 11,015) were conducted in six European cities (SILNE survey). Students were asked to nominate up to five schoolmates with whom they preferred to do schoolwork. SB and SE correlated negatively (-0.32; p < 0.0001). Students had on average 3.4 incoming (popularity; range 0-5) and 3.4 outgoing (social activity; 0-5) social ties. Percentage of isolated students was 1.4. Students’ network position was associated weakly with academic well-being—popular students had less SB and higher SE, and socially active students had higher SE. School-level peer networks showed high clustering and school connectedness, but low density and low centralization. Clustering was associated with higher SB. Low centralization and high school connectedness protected from SB. Dense networks supported SE as did high average school connectedness. Correlations between these network indicators and academic well-being were, however, low. Our study showed that both students’ network position and network characteristics at the school level can influence adolescents’ academic well-being.