Disentangling Peer Influence On Multiple Levels
In this study we focus on the influence of peers on adolescents academic achievement. Specifically, how the learning motivation of peers is related to a student's school grades. We use multilevel regression to analyze the influence of peers on different levels of social circles: school, class, personal network, and compare the effects of "assigned friends" and "chosen friends". The methods of social network analysis are used to define the personal network of a student in different ways: cliques, complete ego networks, and mutual ego networks. We demonstrate that the model improves considerably when the level of personal networks is included between individual and class levels. The learning motivation of a student's friends (defined as a clique or ego network) has an important influence on the student’s school performance, net of student’s personal characteristics.
|Date of creation:||2014|
|Date of revision:|
|Publication status:||Published in WP BRP Series: Sociology / SOC, June 2014, pages 1-26|
|Contact details of provider:|| Postal: Myasnitskaya 20, Moscow 101000|
Web page: http://www.hse.ru/
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Vera Titkova & Valeria Ivaniushina & Daniel Alexandrov, 2013. "Sociometric popularity in a school context," HSE Working papers WP BRP 10/EDU/2013, National Research University Higher School of Economics.
- Fujimoto, Kayo & Wang, Peng & Valente, Thomas W., 2013. "The decomposed affiliation exposure model: A network approach to segregating peer influences from crowds and organized sports," Network Science, Cambridge University Press, vol. 1(02), pages 154-169, August.
- Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2007.
"Identification of Peer Effects through Social Networks,"
IZA Discussion Papers
2652, Institute for the Study of Labor (IZA).
- Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
- Yann Bramoullé & Habiba Djebbari & Bernard Fortin, 2007. "Identification of Peer Effects through Social Networks," Cahiers de recherche 0705, CIRPEE.
- Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May.
- Ron W Zimmer & Eugenia F Toma, 2000. "Peer effects in private and public schools across countries," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 75-92.
- Jason Fletcher, 2012. "Peer influences on adolescent alcohol consumption: evidence using an instrumental variables/fixed effect approach," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(4), pages 1265-1286, October.
- Trogdon, Justin G. & Nonnemaker, James & Pais, Joanne, 2008. "Peer effects in adolescent overweight," Journal of Health Economics, Elsevier, vol. 27(5), pages 1388-1399, September.
- Fryer Jr., Roland G. & Torelli, Paul, 2010. "An empirical analysis of 'acting white'," Journal of Public Economics, Elsevier, vol. 94(5-6), pages 380-396, June.
When requesting a correction, please mention this item's handle: RePEc:hig:wpaper:43/soc/2014. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamil Abdulaev)or (Victoria Elkina)
If references are entirely missing, you can add them using this form.