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Examining the effect of social influence on student performance through network autocorrelation models

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  • Maria Prosperina Vitale
  • Giovanni C. Porzio
  • Patrick Doreian

Abstract

The paper investigates the link between student relations and their performances at university. A social influence mechanism is hypothesized as individuals adjusting their own behaviors to those of others with whom they are connected. This contribution explores the effect of peers on a real network formed by a cohort of students enrolled at a graduate level in an Italian University. Specifically, by adopting a network effects model, the relation between interpersonal networks and university performance is evaluated assuming that student performance is related to the performance of the other students belonging to the same group. By controlling for individual covariates, the network results show informal contacts, based on mutual interests and goals, are related to performance, while formal groups formed temporarily by the instructor have no such effect.

Suggested Citation

  • Maria Prosperina Vitale & Giovanni C. Porzio & Patrick Doreian, 2016. "Examining the effect of social influence on student performance through network autocorrelation models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(1), pages 115-127, January.
    • Handle: RePEc:taf:japsta:v:43:y:2016:i:1:p:115-127
    DOI: 10.1080/02664763.2015.1049517
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    References listed on IDEAS

    as
    1. Sacerdote, Bruce, 2011. "Peer Effects in Education: How Might They Work, How Big Are They and How Much Do We Know Thus Far?," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 4, pages 249-277, Elsevier.
    2. Oleg Poldin & Dilyara Valeeva & Maria Yudkevich, 2013. "How social ties affect peer-group effects: a case of university students," HSE Working papers WP BRP 15/SOC/2013, National Research University Higher School of Economics.
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    Cited by:

    1. Johan Koskinen & Galina Daraganova, 2022. "Bayesian analysis of social influence," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1855-1881, October.

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