Global Trends in Peer Effects Research: A Bibliometric Analysis Based on the Web of Science Database from 1992 to 2022

Research Article
Open access

Global Trends in Peer Effects Research: A Bibliometric Analysis Based on the Web of Science Database from 1992 to 2022

Yue Qu 1*
  • 1 Columbia University    
  • *corresponding author yq2280@tc.columbia.edu
Published on 26 October 2023 | https://doi.org/10.54254/2753-7048/18/20231311
LNEP Vol.18
ISSN (Print): 2753-7056
ISSN (Online): 2753-7048
ISBN (Print): 978-1-83558-061-5
ISBN (Online): 978-1-83558-062-2​

Abstract

While Peer Effects in the education field have been extensively studied worldwide, the development of research topics in this area remains insufficient and unclear. This study employs bibliometric analysis to explore research trends regarding Peer Effects. Publications output data were gathered from research articles in the Web of Science database from 1992 to 2022. Using VOS viewer, this study aims to answer questions related to the number of Peer Effects publications, countries, and regions engaged in research, highly cited scholars and works, as well as hot topics and development trends. This study suggests that Peer Effects research has gone through three stages of development over the past 30 years, with the United States dominating the field discourse. The study also identifies the core academic research group of the Peer Effects research field, and highlights the need to focus on sub-classroom levels. These findings have policy implications, as adjusting peer composition at different levels can improve resource allocation in education.

Keywords:

Peer Effects, bibliometrics, Web of Science, VOS viewer

Qu,Y. (2023). Global Trends in Peer Effects Research: A Bibliometric Analysis Based on the Web of Science Database from 1992 to 2022. Lecture Notes in Education Psychology and Public Media,18,168-177.
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References

[1]. Coleman, J. S. (1995). Equality of Educational Opportunity (COLEMAN) Study (EEOS), 1966. ICPSR Data Holdings. doi:10.3886/icpsr06389.

[2]. Angrist, J. D. and Lang, K. (2004). Does School Integration Generate Peer Effects? Evidence from Bostons Metco Program. American Economic Review, 94(5), 1613–1634. doi:10.1257/0002828043052169.

[3]. Kamhawi, R. and Weaver, D. (2003). Mass Communication Research Trend from 1980 to 1999. Journalism and Mass Communication Quarterly, 80(1), 7-27.

[4]. Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G. and the PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ, 339, b2535–b2535. doi:10.1136/bmj.b2535.

[5]. Fabregat-Aibar, L., Barbera-Marine, M. G., Terceno, A. and Pie, L. (2019). A Bibliometric and Visualization Analysis of Socially Responsible Funds. Sustainability, 11(9). doi:10.3390/su11092526.

[6]. Ninkov, A., Frank, J. R. and Maggio, L. A. (2022). Bibliometrics: Methods for studying academic publishing. Perspect. Med. Educ., 11(3), 173–176. doi:10.1007/s40037-021-00695-4.

[7]. Loveless, T. (1999). The tracking wars: State reform meets school policy. Brookings Institution Press.

[8]. Gamoran, A. (1992). The variable effects of high school tracking. American Sociological Review, 57, 821-828.

[9]. Ansalone, G. (2010). Tracking: Educational differentiation or defective strategy. Educational Research Quarterly, 34(2), 3-17. https://doi.org/10.1016/j.ijpe.2008.02.017.

[10]. Li, T., Han, L., Zhang, L. and Rozelle, S. (2014). Encouraging classroom peer interactions: Evidence from Chinese migrant schools. Journal of Public Economics, 111, 29-45. https://doi.org/10.1016/j.jpubeco.2013.12.014.

[11]. Merigó, J. M., Cancino, C. A., Coronado, F. and Urbano, D. (2016). Academic research in innovation: a country analysis. Scientometrics, 108(2), 559–593. doi:10.1007/s11192-016-1984-4.

[12]. Roorda, D. L., Koomen, H. M. Y., Spilt, J. L. and Oort, F. J. (2011). The influence of affective teacher–student relationships on students’ school engagement and achievement. Review of Educational Research, 81(4), 493–529. doi:10.3102/0034654311421793.

[13]. Gurin, P., Dey, E., Hurtado, S. and Gurin, G. (2002). Diversity and higher education: Theory and impact on educational outcomes. Harvard Educational Review, 72(3), 330–367. doi:10.17763/haer.72.3.01151786u134n051.

[14]. Barron, B. (2003). When smart groups fail. Journal of the Learning Sciences, 12(3), 307–359. doi:10.1207/s15327809jls1203_1.

[15]. Blanco-Mesa, F., Merigo, J. M. and Gil-Lafuente, A. M. (2017). Fuzzy decision making: A bibliometric-based review. J. Intell. Fuzzy Syst., 32(3), 2033–2050. doi:10.3233/JIFS-161640.

[16]. Hanushek, E. A., Kain, J. F., Markman, J. M. and Rivkin, S. G. (2003). Does peer ability affect student achievement? J. Appl. Econom., 18(5), 527–544. doi:10.1002/jae.741.

[17]. Zimmerman, D. J. (2003). Peer Effects in Academic Outcomes: Evidence from a Natural Experiment. Review of Economics and Statistics, 85(1), 9–23. doi:10.1162/003465303762687677.

[18]. Hoxby, C. M. (2000). Peer Effects in the Classroom: Learning from Gender and Race Variation. Labor: Human Capital eJournal. doi:10.3386/w7867.

[19]. Lu, F. and Anderson, M. L. (2015). Peer Effects in Microenvironments: The Benefits of Homogeneous Classroom Groups. Journal of Labor Economics, 33(1), 91–122. doi:10.1086/677392.


Cite this article

Qu,Y. (2023). Global Trends in Peer Effects Research: A Bibliometric Analysis Based on the Web of Science Database from 1992 to 2022. Lecture Notes in Education Psychology and Public Media,18,168-177.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Educational Innovation and Philosophical Inquiries

ISBN:978-1-83558-061-5(Print) / 978-1-83558-062-2​(Online)
Editor:Enrique Mallen, Javier Cifuentes-Faura
Conference website: https://www.iceipi.org/
Conference date: 7 August 2023
Series: Lecture Notes in Education Psychology and Public Media
Volume number: Vol.18
ISSN:2753-7048(Print) / 2753-7056(Online)

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References

[1]. Coleman, J. S. (1995). Equality of Educational Opportunity (COLEMAN) Study (EEOS), 1966. ICPSR Data Holdings. doi:10.3886/icpsr06389.

[2]. Angrist, J. D. and Lang, K. (2004). Does School Integration Generate Peer Effects? Evidence from Bostons Metco Program. American Economic Review, 94(5), 1613–1634. doi:10.1257/0002828043052169.

[3]. Kamhawi, R. and Weaver, D. (2003). Mass Communication Research Trend from 1980 to 1999. Journalism and Mass Communication Quarterly, 80(1), 7-27.

[4]. Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G. and the PRISMA Group. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ, 339, b2535–b2535. doi:10.1136/bmj.b2535.

[5]. Fabregat-Aibar, L., Barbera-Marine, M. G., Terceno, A. and Pie, L. (2019). A Bibliometric and Visualization Analysis of Socially Responsible Funds. Sustainability, 11(9). doi:10.3390/su11092526.

[6]. Ninkov, A., Frank, J. R. and Maggio, L. A. (2022). Bibliometrics: Methods for studying academic publishing. Perspect. Med. Educ., 11(3), 173–176. doi:10.1007/s40037-021-00695-4.

[7]. Loveless, T. (1999). The tracking wars: State reform meets school policy. Brookings Institution Press.

[8]. Gamoran, A. (1992). The variable effects of high school tracking. American Sociological Review, 57, 821-828.

[9]. Ansalone, G. (2010). Tracking: Educational differentiation or defective strategy. Educational Research Quarterly, 34(2), 3-17. https://doi.org/10.1016/j.ijpe.2008.02.017.

[10]. Li, T., Han, L., Zhang, L. and Rozelle, S. (2014). Encouraging classroom peer interactions: Evidence from Chinese migrant schools. Journal of Public Economics, 111, 29-45. https://doi.org/10.1016/j.jpubeco.2013.12.014.

[11]. Merigó, J. M., Cancino, C. A., Coronado, F. and Urbano, D. (2016). Academic research in innovation: a country analysis. Scientometrics, 108(2), 559–593. doi:10.1007/s11192-016-1984-4.

[12]. Roorda, D. L., Koomen, H. M. Y., Spilt, J. L. and Oort, F. J. (2011). The influence of affective teacher–student relationships on students’ school engagement and achievement. Review of Educational Research, 81(4), 493–529. doi:10.3102/0034654311421793.

[13]. Gurin, P., Dey, E., Hurtado, S. and Gurin, G. (2002). Diversity and higher education: Theory and impact on educational outcomes. Harvard Educational Review, 72(3), 330–367. doi:10.17763/haer.72.3.01151786u134n051.

[14]. Barron, B. (2003). When smart groups fail. Journal of the Learning Sciences, 12(3), 307–359. doi:10.1207/s15327809jls1203_1.

[15]. Blanco-Mesa, F., Merigo, J. M. and Gil-Lafuente, A. M. (2017). Fuzzy decision making: A bibliometric-based review. J. Intell. Fuzzy Syst., 32(3), 2033–2050. doi:10.3233/JIFS-161640.

[16]. Hanushek, E. A., Kain, J. F., Markman, J. M. and Rivkin, S. G. (2003). Does peer ability affect student achievement? J. Appl. Econom., 18(5), 527–544. doi:10.1002/jae.741.

[17]. Zimmerman, D. J. (2003). Peer Effects in Academic Outcomes: Evidence from a Natural Experiment. Review of Economics and Statistics, 85(1), 9–23. doi:10.1162/003465303762687677.

[18]. Hoxby, C. M. (2000). Peer Effects in the Classroom: Learning from Gender and Race Variation. Labor: Human Capital eJournal. doi:10.3386/w7867.

[19]. Lu, F. and Anderson, M. L. (2015). Peer Effects in Microenvironments: The Benefits of Homogeneous Classroom Groups. Journal of Labor Economics, 33(1), 91–122. doi:10.1086/677392.