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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7216150 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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