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Ready to Rumble? Popularity, Status Ambiguity, and Interpersonal Violence Among School-Based Children

Authors
Seo, Chan SukLim, YisookKim, Harris Hyun-soo
Issue Date
Feb-2023
Publisher
SAGE PUBLICATIONS INC
Keywords
negative networks; peer relations; social status; popularity; status ambiguity
Citation
JOURNAL OF INTERPERSONAL VIOLENCE, v.38, no.3-4, pp 3612 - 3636
Pages
25
Journal Title
JOURNAL OF INTERPERSONAL VIOLENCE
Volume
38
Number
3-4
Start Page
3612
End Page
3636
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/58583
DOI
10.1177/08862605221109886
ISSN
0886-2605
1552-6518
Abstract
Previous literature has recognized the importance of social relationship in understanding people's engagement in aggressive behavior. Yet, largely due to data limitations, only few studies have empirically explored how social status precisely influences interpersonal violence. In this research, we investigate the determinants of peer-to-peer violence by focusing on individual's positions in the status hierarchy within adolescent peer networks. More specifically, our study examines and demonstrates the extent to which the likelihood of interpersonal violence rises, first, as a function of one's status (popularity) and, second, due to ambiguity between status positions of the parties involved in a physical altercation. Using a unique dataset collected on school-based children in Laos (Lao People's Democratic Republic) in 2016 (N = 1,332), we employ exponential random graph models to show the influence of status on the odds of involvement in on-campus violence. Results indicate that higher status, that is, more popular, students are more likely to be involved in a physical fight compared to their lower status counterparts. Moreover, we find a significant degree of similarity in status among students who engage in a fight. In other words, status ambiguity surrounding dyads in the peer network increases the likelihood of bringing them into a conflict situation. Our findings provide implications for understanding how social status shapes the dynamics of negative networks. By analyzing sociocentric network data, the present study extends and moves beyond prior findings mainly based on individual-level (non-dyadic) data.
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Seo, Chan Suk
사회과학대학 (사회학과)
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