«Deviant Behaviour and Social Status: Dynamics of resistance behaviour in classrooms» - Keynote by Isabel Raabe at ARS 2025
Isabel Raabe gave the keynote at this year's ARS'25 Tenth International Workshop on Social Network Analysis in Naples.
Keynote: «Deviant Behaviour and Social Status: Dynamics of resistance behaviour in classrooms»
Abstract of Isabel Raabe's keynote:
I investigate anti-school behaviour, such as disturbing lessons, not putting effort into schoolwork, or arguing with teachers. It has been shown that this happens more in school classes with a higher share of low-SES kids. I propose that one likely mechanism is through unfavourable peer norms. Peer and groups norms can establish a dynamic in which students perceive anti-school behaviour as desirable, as it contributes to their social standing in the peer group. Popular students in particular are a powerful influence in setting norms in the school context and can hence act as catalysts in the manifestation of a peer culture.
I propose that the higher the share of lower SES kids in a classroom, the more likely there could be a peer norm fostering anti-school behaviour, irrespective of individual socioeconomic background. I analyse large-scale social network data (7’847 students in 384 school classes in Germany and Sweden, from the CILS4EU data).
I apply multilevel longitudinal social network analysis (SAOMs) to analyse the co-evolution of social status network and anti-school behaviour.
My results show that having a high status increases anti-school behaviour, and that anti-school behaviour increase social status. The socioeconomic composition of the school class moderates the effect of anti-school behaviour on social status: In classes with a higher SES composition, this effect is stronger.
ARS'25
The ARS workshop series aims at presenting the most relevant results and the most recent methodological developments in Social Network Analysis.
The workshop, which is under the patronage of the Italian Statistical Society (SIS), aims to:
- cover more of Social Network Analysis themes including application to different areas;
- deepen existing scientific cooperation between social network analysts;
- establish new cooperation between researchers;
- provide a multi-disciplinary forum for exchange of ideas;
- provide Ph.D. students and young researchers in the field of social network analysis with a forum for presenting their innovative work.
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