The Impact of Peer Influence on Academic Performance: A Three-Stage Co-Evolution Model

Estimating peer influence on academic performance is important to both social scientists and policy makers. The fundamental challenges in prior studies that assess peer influence using observational data are about (1) separating the effect of peer influence from homophily and (2) capturing network dynamics. In this paper, we build on related work and propose a three-stage co-evolution model to investigate the impact of peer influence on academic performance by controlling for multiple sources of homophily and network dynamics. Our preliminary analysis provides support for the existence of homophily and peer influence. In addition, we find evidences of asymmetric peer influence, i.e. influence is more significantly positive among higher ability students, than lower ability ones. Early findings from this study shed light on the possible underlying mechanisms of how networks evolve, and how students’ behaviors are affected by their peers’ performance and decisions, and vice versa. Our findings offer useful insights about the prevalence and role of peer influence to policy makers, educational researchers and teachers. three-stage co-evolution model and research context. Finally, we illustrated some preliminary results and offer a brief discussion of the findings.

[1]  Mary A. Burke,et al.  Classroom Peer Effects and Student Achievement , 2008, Journal of Labor Economics.

[2]  J. Flashman,et al.  Academic Achievement and Its Impact on Friend Dynamics , 2012, Sociology of education.

[3]  Kevin Lewis,et al.  Social selection and peer influence in an online social network , 2011, Proceedings of the National Academy of Sciences.

[4]  Alessandro Lomi,et al.  Why Are Some More Peer Than Others? Evidence from a Longitudinal Study of Social Networks and Individual Academic Performance. , 2011, Social science research.

[5]  M. Prinstein,et al.  Beyond Homophily: A Decade of Advances in Understanding Peer Influence Processes. , 2011, Journal of research on adolescence : the official journal of the Society for Research on Adolescence.

[6]  C. Steglich,et al.  DYNAMIC NETWORKS AND BEHAVIOR: SEPARATING SELECTION FROM INFLUENCE: separating selection from influence , 2010 .

[7]  D. Neumark-Sztainer,et al.  Physical activity and sports team participation: associations with academic outcomes in middle school and high school students. , 2010, The Journal of school health.

[8]  C. Jackson,et al.  Teaching Students and Teaching Each Other: The Importance of Peer Learning for Teachers , 2009 .

[9]  J. E. West,et al.  Does Your Cohort Matter? Measuring Peer Effects in College Achievement , 2009 .

[10]  Katariina Salmela-Aro,et al.  Peer Group Influence and Selection in Adolescents' School Burnout: A Longitudinal Study , 2008 .

[11]  R. Robins,et al.  PERSONALITY PROCESSES AND INDIVIDUAL DIFFERENCES Personality Predictors of Academic Outcomes: Big Five Correlates of GPA and SAT Scores , 2007 .

[12]  T. Snijders,et al.  Modeling the Coevolution of Networks and Behavior , 2007 .

[13]  Gigi Foster It's not your peers, and it's not your friends: Some progress toward understanding the educational peer effect mechanism , 2006 .

[14]  Gueorgi Kossinets,et al.  Empirical Analysis of an Evolving Social Network , 2006, Science.

[15]  Jessica Dennis,et al.  The Role of Motivation, Parental Support, and Peer Support in the Academic Success of Ethnic Minority First-Generation College Students , 2005 .

[16]  James Symons,et al.  Do Peer Groups Matter? Peer Group Versus Schooling Effects on Academic Attainment , 2003 .

[17]  D. Zimmerman Peer Effects in Academic Outcomes: Evidence from a Natural Experiment , 1999, Review of Economics and Statistics.

[18]  E. Hanushek,et al.  Disruption Versus Tiebout Improvement: The Costs and Benefits of Switching Schools , 2001 .

[19]  C. Hoxby,et al.  Peer Effects in the Classroom: Learning from Gender and Race Variation , 2000 .

[20]  Denison Gatehouse,et al.  PEER EFFECTS IN ACADEMIC OUTCOMES: Evidence from a Natural Experiment , 1999 .

[21]  C. Manski Identification of Endogenous Social Effects: The Reflection Problem , 1993 .

[22]  Jacquelynne S. Eccles,et al.  Predictors of math anxiety and its influence on young adolescents' course enrollment intentions and performance in mathematics , 1990 .