心理发展与教育 ›› 2014, Vol. 30 ›› Issue (3): 259-267.

• 认知与社会性发展 • 上一篇    下一篇

同伴团体对青少年问题行为的影响:一项基于社会网络分析的研究

侯珂1, 邹泓2, 刘艳2, 金灿灿3, 蒋索2,4   

  1. 1. 北京师范大学文科学报, 北京 100875;
    2. 北京师范大学发展心理研究所, 北京 100875;
    3. 北京林业大学人文社会科学学院心理系, 北京 100083;
    4. 温州医科大学环境与公共卫生学院应用心理学系, 温州 325035
  • 出版日期:2014-05-15 发布日期:2014-05-15
  • 通讯作者: 邹泓,E-mail:hongz@bnu.edu.cn E-mail:hongz@bnu.edu.cn
  • 基金资助:
    国家科技支撑计划项目(2012BAI36B03)

Peer Group Influence on Adolescents’ Problem Behavior:A Social Network Analysis

Hou Ke1, Zou Hong2, Liu Yan2, Jin Can-can3, Jiang Suo2,4   

  1. 1. Journal of Beijing Normal University, Beijing Normal University, Beijing 100875;
    2. Institute of Developmental Psychology, Beijing Normal University, Beijing 100875;
    3. Department of Psychology, School of Humanities and Social Sciences, Beijing Forestry University, Beijing 100083;
    4. Department of Psychology in School of Environment and Public Health, Wenzhou Medical University, Wenzhou 325035
  • Online:2014-05-15 Published:2014-05-15

摘要: 以675名初中和高中学生为被试,采用社会网络分析方法,获得506名青少年在其班级中的网络中心度,并确定他们所属的同伴团体,在此基础上考察同伴团体的行为规范对其问题行为的影响。结果发现:(1)在控制了班级层次的问题行为水平和其他相关变量后,同伴团体的问题行为水平能够正向预测青少年自身的问题行为;(2)青少年在同伴团体内部的地位能负向预测青少年的问题行为,青少年在班级社交网络中的度数中心度能正向预测其问题行为,而中介中心度能负向预测其问题行为;(3)交互作用分析表明:同伴团体的问题行为水平主要对低中介中心度的青少年产生显著影响;仅在问题行为水平较高的同伴团体中,青少年的度数中心度正向预测其问题行为。

关键词: 青少年, 同伴影响, 问题行为, 社会网络分析, 中心度

Abstract: Peer interactions and group experiences exert a profound influence on the adolescents' behaviors.Literature also suggests that adolescents' positions in social network are responsible for their problem behaviors. In this article, social network analysis was used to identify peer groups of 506 adolescents from 20 middle school classrooms, and to measure the adolescents' centrality (degree, reach, bonacich and betweenness centrality) in their classroom networks and status in their peer groups. Multilevel model analysis indicated that peer groups did socialize adolescents' problem behaviors, controlling for classroom-level problem behaviors and other factors. The results showed peer group core membership was negatively associated with individual-level problem behaviors, and betweenness centrality was negatively associated with adolescents' problem behaviorsand degree centrality was positively associated with adolescents' problem behaviors. Degree centrality and betweenness centrality significantly moderated the impact of peer group problem behaviors on adolescents' externalizing behaviors. Further analysis indicated that the peer group socialization effect was most potent for individuals in low betweenness centrality, however, the degree centrality predicted adolescents' problem behaviors only in high problem behavior level groups.

Key words: Adolescent, Peer group influence, Problem behavior, Social network analysis, Centrality

中图分类号: 

  • B844.2
Ahn, H. J., Garandeau, C. F., & Rodkin, P. C. (2010). Effects of classroom embeddedness and density on the social status of aggressive and victimized children. The Journal of Early Adolescence, 30(1), 76-101.
Alexander, C., Piazza, M., Mekos, D., & Valente, T. (2001). Peers, schools, and adolescent cigarette smoking.Journal of Adolescent Health, 29(1), 22-30.
Allen, J. P., Porter, M. R., McFarland, F. C., Marsh, P., & McElhaney, K. B. (2005). The two faces of adolescents' success with peers: Adolescent popularity, social adaptation, and deviant behavior. Child Development, 76(3), 747-760.
Benenson, J. F., Nicholson, C., Waite, A., Roy, R., & Simpson, A. (2001). The influence of group size on children's competitive behavior. Child Development, 72(3), 921-928.
Borgatti, S. P., Carley, K. M., & Krackhardt, D. (2006). On the robustness of centrality measures under conditions of imperfect data. Social Networks, 28(2), 124-136.
Bot, S. M., Engels, R. C., Knibbe, R. A., & Meeus, W. H. (2005). Friends drinking behavior and adolescent alcohol consumption: The moderating role of friendship characteristics. Addictive Behaviors, 30(5), 929-947.
Bronfenbrenner, U. (1992). Ecological Systems Theory. Jessica Kingsley Publishers.
Burt, R. S. (1997). The contingent value of social capital. Administrative Science Quarterly, 339-365.
Burk, W. J., Steglich, C. E., & Snijders, T. A. (2007). Beyond dyadic interdependence: Actor-oriented models for co-evolving social networks and individual behaviors. International Journal of Behavioral Development, 31(4), 397-404.
Cairns, R. B., Perrin, J. E., & Cairns, B. D. (1985). Social structure and social cognition in early adolescence: Affiliative patterns. The Journal of Early Adolescence, 5(3), 339-355.
Carboni, I., & Gilman, R. (2012). Brokers at risk: Gender differences in the effects of structural position on social stress and life satisfaction. Group Dynamics: Theory, Research, and Practice, 16(3), 218-230.
Cillessen, A. H., & Mayeux, L. (2004). From censure to reinforcement: Developmental changes in the association between aggression and social status. Child Development, 75(1), 147-163.
Cohen, G. L., & Prinstein, M. J. (2006). Peer contagion of aggression and health risk behavior among adolescent males: An experimental investigation of effects on public conduct and private attitudes. Child Development, 77(4),967-983.
Conway, C. C., Rancourt, D., Adelman, C. B., Burk, W. J., & Prinstein, M. J. (2011). Depression socialization within friendship groups at the transition to adolescence: The roles of gender and group centrality as moderators of peer influence. Journal of Abnormal Psychology, 120(4), 857-867.
Dishion, T. J., & Tipsord, J. M. (2011). Peer contagion in child and adolescent social and emotional development. Annual Review of Psychology, 62, 189-214.
Ellis, W. E., & Zarbatany, L. (2007). Peer group status as a moderator of group influence on children's deviant, aggressive, and prosocial behavior. Child Development, 78(4), 1240-1254.
Enders, C. K., & Tofighi, D. (2007). Centering predictor variables in cross-sectional multilevel models: a new look at an old issue. Psychological Methods, 12(2), 121-138.
Ennett, S. T., & Bauman, K. E. (1994). The contribution of influence and selection to adolescent peer group homogeneity: the case of adolescent cigarette smoking. Journal of Personality and Social Psychology, 67(4), 653-663.
Ennett, S. T., Bauman, K. E., Hussong, A., Faris, R., Foshee, V. A., Cai, L., et al. (2006). The peer context of adolescent substance use: Findings from social network analysis. Journal of Research on Adolescence, 16(2), 159-186.
Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 1360-1380.
Haynie, D. L. (2001). Delinquent peers revisited: Does network structure matter? American Journal of Sociology, 106(4), 1013-1057.
Hirschi, T. (1969). Causes of delinquency. Berkeley, CA: University of California Press.
Kindermann, T. A., & Gest, S. D. (2009). Assessment of the peer group: Identifying naturally occurring social networks and capturing their effects. In K. H. Rubin, W. M. Bukowski,& B. Laursen(Eds.),Handbook of Peer Interactions, Relationships, and Groups(pp.100-117).New York:Guilford.
Kossinets, G. (2006). Effects of missing data in social networks. Social Networks, 28(3), 247-268.
Lansford, J. E., Killeya-Jones, L. A., Miller, S., & Costanzo, P. R. (2009). Early adolescents' social standing in peer groups: Behavioral correlates of stability and change. Journal of Youth and Adolescence, 38(8), 1084-1095.
Mayeux, L., Sandstrom, M. J., & Cillessen, A. H. (2008). Is being popular a risky proposition?. Journal of Research on Adolescence, 18(1), 49-74.
Osgood, D. W., Finken, L. L., & McMorris, B. J. (2002). Analyzing multiple-item measures of crime and deviance I: Item response theory scaling. Journal of Quantitative Criminology, 18(3), 267-296.
Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31, 437-448.
Prinstein, M. J. (2007). Moderators of peer contagion: A longitudinal examination of depression socialization between adolescents and their best friends. Journal of Clinical Child and Adolescent Psychology, 36(2), 159-170.
Samejima, F. (1997). Graded response model. In Handbook of Modern Item Response Theory (pp. 85-100). Springer New York.
Sandstrom, M. J., & Cillessen, A. H. (2006). Likeable versus popular: Distinct implications for adolescent adjustment. International Journal of Behavioral Development, 30(4), 305-314.
Shi, B., & Xie, H. (2012). Socialization of physical and social aggression in early adolescents' peer groups: High status peers, individual status, and gender. Social Development, 21(1), 170-194.
Sijtsema, J. J., Ojanen, T., Veenstra, R., Lindenberg, S., Hawley, P. H., & Little, T. D. (2010). Forms and functions of aggression in adolescent friendship selection and influence: A longitudinal social network analysis. Social Development, 19(3), 515-534.
Steglich, C., Snijders, T. A., & West, P. (2006). Applying SIENA: An illustrative analysis of the coevolution of adolescents' friendship networks, taste in music, and alcohol consumption. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 2(1), 48-56.
Spear, L. P. (2000). The adolescent brain and age-related behavioral manifestations. Neuroscience & Biobehavioral Reviews, 24(4), 417-463.
Steinberg, L., & Monahan, K. C. (2007). Age differences in resistance to peer influence. Developmental Psychology, 43(6), 1531-1543.
Stormshak, E. A., Bierman, K. L., Bruschi, C., Dodge, K. A., & Coie, J. D. (1999). The relation between behavior problems and peer preference in different classroom contexts. Child Development, 70(1), 169-182.
Urberg, K. A., Luo, Q., Pilgrim, C., & Degirmencioglu, S. M. (2003). A two-stage model of peer influence in adolescent substance use: Individual and relationship-specific differences in susceptibility to influence. Addictive Behaviors, 28(7), 1243-1256.
Valente, T. W., Unger, J. B., & Johnson, C. A. (2005). Do popular students smoke? The association between popularity and smoking among middle school students. Journal of Adolescent Health, 37(4), 323-329.
Wasserman, S., & Faust, K. (1994). Social Network Analysis: Methods and Applications. New York: Cambridge University.
Wentzel, K. R., Barry, C. M., & Caldwell, K. A. (2004). Friendships in middle school: Influences on motivation and school adjustment. Journal of Educational Psychology, 96(2), 195-203.
崔丽霞, 郑日昌.(2005).中学生问题行为的问卷编制和聚类分析.中国心理卫生杂志, 19(5), 313-315.
方晓义, 郑宇, 林丹华, 张锦涛.(2003).友伴网络结构与中学生的吸烟行为.心理与行为研究, 1(4), 252-256.
方晓义, 张锦涛, 徐洁.(2004). 青少年和母亲知觉的差异及其与青少年问题行为的关系.心理科学, 27(1), 21-25
李春玲.(2005).当代中国社会的声望分层——职业声望与社会经济地位指数测量. 社会学研究, (2), 74-102.
袁晓娇, 方晓义, 刘杨, 蔺秀云, 邓林园.(2010).流动儿童社会认同的特点, 影响因素及其作用. 教育研究, (3), 37-45.
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