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Dynamic pathways between rejection and antisocial behavior in peer networks: Update and test of confluence model

Published online by Cambridge University Press:  06 February 2019

Olga Kornienko ,
Thao Ha  and
Thomas J. Dishion
Olga Kornienko*
Affiliation:
Department of Psychology, George Mason University, Fairfax, VA, USA
Thao Ha
Affiliation:
Department of Psychology, Arizona State University, Tempe, AZ, USA
Thomas J. Dishion
Affiliation:
Department of Psychology, Arizona State University, Tempe, AZ, USA REACH Institute, Arizona State University, Tempe, AZ, USA Oregon Research Institute, Eugene, OR, USA
*
Author for correspondence: Olga Kornienko, Department of Psychology, George Mason University, David King Hall, Room 2042, 4400 University Drive, 3F5, Fairfax, VA, 22030. Email: okornien@gmu.edu
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Abstract

The confluence model theorizes that dynamic transactions between peer rejection and deviant peer clustering amplify antisocial behavior (AB) within the school context during adolescence. Little is known about the links between peer rejection and AB as embedded in changing networks. Using longitudinal social network analysis, we investigated the interplay between rejection, deviant peer clustering, and AB in an ethnically diverse sample of students attending public middle schools (N = 997; 52.7% boys). Adolescents completed peer nomination reports of rejection and antisocial behavior in Grades 6–8. Results revealed that rejection status was associated with friendship selection, and adolescents became rejected if they were friends with others who were rejected. Youth befriended others with similar levels of AB. Significant patterns of peer influence were documented for AB and rejection. As hypothesized, rejected youth with low AB were more likely to affiliate with others with high AB instead of similarly low AB. In contrast, nonrejected youth preferred to befriend others with similarly high or low AB. Results support an updated confluence model of a joint interplay between rejection and AB as ecological conditions that lead to self-organization into deviant clusters in which peer contagion on problem behaviors operates.

Keywords

antisocial behaviorlongitudinal social network analysispeer networkspeer rejectionstochastic actor-based modeling
Type
Regular Articles
Information
Development and Psychopathology , Volume 32 , Issue 1 , February 2020 , pp. 175 - 188
Copyright
Copyright © Cambridge University Press 2019

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Footnotes

†

This author died before the article was published.

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