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Segregation within school classes: Detecting social clustering in choice data
Mälardalen University, School of Education, Culture and Communication, Educational Sciences and Mathematics. Stockholm University, Stockholm, Sweden. (MAM)
University of Oslo, Oslo, Norway.
University of Oslo, Oslo, Norway.
2020 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 15, no 6Article in journal (Refereed) Published
Abstract [en]

We suggest a new method for detecting patterns of social clustering based on choice data. The method compares similar subjects within and between cohorts and thereby allows us to isolate the effect of peer influence from that of exogenous factors. Using this method on Norwegian register data, we address the question of whether students tend to cluster socially based on similar background. We find that common background correlates with making the same choices of curricular tracks, and that both exogenous preferences and peer influence matter. This applies to immigrant students from the same country, and, to some extent, to descendants of immigrants, but not to students from culturally similar countries. There are also small effects related to parents' education and income.

Place, publisher, year, edition, pages
NLM (Medline) , 2020. Vol. 15, no 6
National Category
Mathematics
Research subject
Mathematics/Applied Mathematics
Identifiers
URN: urn:nbn:se:mdh:diva-48632DOI: 10.1371/journal.pone.0233677ISI: 000547893500020PubMedID: 32479511Scopus ID: 2-s2.0-85085854721OAI: oai:DiVA.org:mdh-48632DiVA, id: diva2:1438936
Available from: 2020-06-11 Created: 2020-06-11 Last updated: 2021-06-14Bibliographically approved

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Jansson, Fredrik

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  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
  • rtf