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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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Autores principales: Rimpelä, Arja, Kinnunen, Jaana M., Lindfors, Pirjo, Soto, Victoria Eugenia, Salmela-Aro, Katariina, Perelman, Julian, Federico, Bruno, Lorant, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216150/
https://www.ncbi.nlm.nih.gov/pubmed/32326162
http://dx.doi.org/10.3390/ijerph17082848
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author Rimpelä, Arja
Kinnunen, Jaana M.
Lindfors, Pirjo
Soto, Victoria Eugenia
Salmela-Aro, Katariina
Perelman, Julian
Federico, Bruno
Lorant, Vincent
author_facet Rimpelä, Arja
Kinnunen, Jaana M.
Lindfors, Pirjo
Soto, Victoria Eugenia
Salmela-Aro, Katariina
Perelman, Julian
Federico, Bruno
Lorant, Vincent
author_sort Rimpelä, Arja
collection PubMed
description 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.
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spelling pubmed-72161502020-05-22 Academic Well-Being and Structural Characteristics of Peer Networks in School Rimpelä, Arja Kinnunen, Jaana M. Lindfors, Pirjo Soto, Victoria Eugenia Salmela-Aro, Katariina Perelman, Julian Federico, Bruno Lorant, Vincent Int J Environ Res Public Health Article 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. MDPI 2020-04-21 2020-04 /pmc/articles/PMC7216150/ /pubmed/32326162 http://dx.doi.org/10.3390/ijerph17082848 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Rimpelä, Arja
Kinnunen, Jaana M.
Lindfors, Pirjo
Soto, Victoria Eugenia
Salmela-Aro, Katariina
Perelman, Julian
Federico, Bruno
Lorant, Vincent
Academic Well-Being and Structural Characteristics of Peer Networks in School
title Academic Well-Being and Structural Characteristics of Peer Networks in School
title_full Academic Well-Being and Structural Characteristics of Peer Networks in School
title_fullStr Academic Well-Being and Structural Characteristics of Peer Networks in School
title_full_unstemmed Academic Well-Being and Structural Characteristics of Peer Networks in School
title_short Academic Well-Being and Structural Characteristics of Peer Networks in School
title_sort academic well-being and structural characteristics of peer networks in school
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7216150/
https://www.ncbi.nlm.nih.gov/pubmed/32326162
http://dx.doi.org/10.3390/ijerph17082848
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