Multilevel regression analysis examines peer relationships in immigrant children, suggesting school composition influences social inclusion.
Given world immigration patterns, understanding immigrant children’s social inclusion is crucial, especially the role of school characteristics. The current study examines how individual- and school-level factors shape immigrant children’s peer relationship In Ireland, a context that has experienced rapid demographic change by remains underexplored in the literature. Drawing on social network theory, we analyse data from 2244 primary school children across 98 schools, using measures of peer group size, friendship nominations, and network centrality to capture social inclusion. Multilevel regression models show that immigrant children report smaller peer groups compared to non-immigrant peers, while minority language use is consistently associated with lower levels of social centrality. Contrary to expectations, school size and urbanicity had limited effects, and classrooms with a higher proportion of immigrant students were associated with reduced inclusion overall, although immigrant children themselves benefitted somewhat from greater classroom diversity. Family affluence was positively associated with all measures of inclusion, highlighting the role of socioeconomic inequalities alongside migration background. The findings underscore the complex and multifaceted nature of social inclusion, showing that both structural and interpersonal dynamics shape immigrant children’s experiences in Irish schools, and pointing to the need for targeted strategies to address linguistic and socioeconomic barriers.
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Jones et al. (2025) studied this question.
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