第六十七輯.第一期 - 2021-03-31

青少年偏差行為發生與否及發生頻率之模型建構

Testing the Model of Juvenile Delinquency’s Occurrence and Frequency

作 者:
郭玲玲、洪瑄、董旭英 / Ling-Ling Kueh, Hsuan Hung, Yuk-Ying Tung
關鍵字:
生活緊張、依附關係、青少年偏差行為、接觸偏差同儕、零膨脹負二項迴歸 / life strains, attachment, delinquency, association with deviant peers, zero-inflated negative binomial regression
  • 摘要
  • 英文摘要
  • 參考文獻
  • 全文下載
由於青少年偏差行為具有計數之資料型態,且常出現大量零之非常態分布, 因此本研究提出零膨脹負二項迴歸模型,試圖突破過去青少年偏差行為研究受到 資料異質性以及過度離散的限制,同時考量青少年依附關係、生活緊張及接觸偏 差同儕分別對偏差行為發生與否,以及發生頻率兩大面向的影響,最後輔以根方 圖作為模型適配度檢視的方法。本研究有效樣本為臺南市國中生947人。研究結 果發現:一、生活緊張與偏差同儕是誘發青少年偏差行為的影響因素;二、接觸 偏差同儕催化青少年偏差行為發生的頻率,家庭依附關係則降低偏差行為之發生 頻率;三、對於出現大量零以及過度離散的計數資料,零膨脹負二項迴歸分析方 法所建構之模型相對適配。研究最後並提出有關青少年學校輔導及後續研究之相 關建議。
The purpose of this study was to explore the impact of attachment, life strains and association with deviant peers on frequency of juvenile delinquency by using the zero-inflated negative binomial (ZINB) regression model with R. The graphical tool “rootogram” was utilized for the goodness-of-fit visualization of the ZINB model. Research participants were 947 students in Tainan, Taiwan. The results were as follows: (1) life strains and association with deviant peers were significantly associated with the occurrence of delinquency; (2) attachment and association with deviant peers were significant predictors for the magnitude of delinquency; (3) ZINB outperformed negative binomial model for count data analysis with excessive number of responses of zero, and with over-dispersed distribution.

王爾暄、李承傑、董旭英(2017)。國中生生活緊張因素、負向情緒調節能力與幸福感 之相關研究— 以臺南市國中生為例。教育理論與實踐學刊,3531-61

[Wang, E.-H., Li, C.-C., & Tung, Y.-Y. (2017). The relationship among strain factors, negative emotion regulation, and well-being for junior high school students in Tainan. Educational Theory & Practice, 35, 31-61.]

吳中勤(2017)。接觸偏差同儕對偏差行為影響之理論模式的衡鑑。中華輔導與諮商學 報,5063-87

[Wu, C.-C. (2017). Evaluating the theoretical model for effects of associated with deviant peer on individual deviance. Chinese Journal of Guidance and Counseling, 50, 63-87.]

吳武典(1992)。偏差行為的診斷與輔導。現代教育季刊,7(25),17-26
[Wu, W.-T. (1992). Diagnostic and counceling in deviant behaviors. Contemporary Education Quarterly, 7(25), 17-26.] 

許春金(2010)。人本犯罪學(修訂二版)。臺北市:三民書局。

[Sheu, C.-J. (2010). Humanistic criminology (2nd ed.). Taipei, Taiwan: San Min Book.] 

教育部校園安全暨災害防救通報處理中心(2019)。107年各級學校校園安全及災害事件分析報告。臺北市:教育部。

[Ministry of Education Campus Security Report Center. (2019). Campus security and disaster incidents analysis report 2018. Taipei, Taiwan: Ministry of Education.] 

張琦(2018)。零膨脹次數資料分析在R程式的應用。教育研究月刊,290114-126

 [Chang, C. (2018). Zero-inflated data analysis in R. Journal of Education Research, 290, 114-126.] 

郭芳君、譚子文、董旭英(2011)。內在性自我控制、復原力對不同類型青少年偏差行為之交互作用效應。教育與社會研究,221-37

[Guo, F.-J., Tan, T.-W., & Tung, Y.-Y. (2011). The interaction effect of ego-control and ego- resilience on different types of adolescent delinquency. Formosan Education and Society, 22, 1-37.]

郭銘峰、王鼎銘、丁太平(2016)。中國大陸基層治理與社區維權:零膨脹負二項計數 模型之分析。人文及社會科學集刊,28(4),581-622

[Kuo, M.-F., Wang, D.-M., & Ding, T.-P. (2016). An exploration of local governance and residents protesting within communities in China: An application of the zero-inflated negative binomial model. Journal of Social Sciences and Philosophy, 28(4), 581-622.]

董旭英(2009)。生活壓迫事件、社會支持、社會心理特質與台灣都會區國中生偏差行 為之關係。青少年犯罪防治研究期刊,1(1),129-164

[Tung, Y.-Y. (2009). Relationships among coercion, social support, social-psychological characteristics and delinquency of junior high school students in Taiwan metropolitan areas. Journal of Research in Delinquency and Prevention, 1(1), 129-164.]

詹宜華、張楓明、董旭英(2012)。國中生接觸偏差同儕在其衝動性格、知覺父母監督 與偏差行為間關聯性之中介效果。犯罪與刑事司法研究,1889-123

[Chan, Y.-H., Chang, F.-M., & Tung, Y.-Y. (2012). The mediating effect of junior high school students associating with delinquent peers on the relationship between impulsivity and recognition of parental monitoring and deviant behavior. Crime and Criminal Justice International, 18, 89-123.]

蔡東敏、譚子文、董旭英(2015)。臺南都會區國中生緊張因素、接觸偏差同儕、認同 非法手段對偏差行為之影響:建構整合理論解釋模型。青少年犯罪防治研究期刊,(2),37-80

[Tsai, D.-M., Tan, T.-W., & Tung, Y.-Y. (2015). The impact of strain factors, association with deviant peers, and agreement with illegal means on adolescent delinquency in Tainan metropolitan: Testing a model of integrated theories. Journal of Research in Delinquency and Prevention, 7(2), 37-80.]

蔡德輝、楊士隆(2017)。少年犯罪:理論與實務(六版)。臺北市:五南圖書。
[Tsai, T.-H., & Yang, S.-L. (2017). Juvenile delinquency (6th ed.). Taipei, Taiwan: Wu-Nan Book.] 

譚子文(2009)。社會控制理論依附和參與要素之關聯性研究。犯罪與刑事司法研究,1351-81

[Tan, T.-W. (2009). The relationship between attachment and involvement of social control theory. Crime and Criminal Justice International, 13, 51-81.]

譚子文、張楓明(2012)。緊張因素、接觸偏差同儕及低自我控制與青少年偏差行為關聯性之研究。臺中教育大學學報:數理科技類,26(1),27-50

[Tan, T.-W., & Chang, F.-M. (2012). The relationship between general strain theory, deviant peer, low self-control, and onset of delinquency. Journal of National Taichung University: Mathematics, Science & Technology, 26(1), 27-50.] 

譚子文、董旭英(2010)。自我概念與父母教養方式對台灣都會區高中生偏差行為之影響。教育科學研究期刊,55(3),1-31

[Tan, T.-W., & Tung, Y.-Y. (2010). The impacts of parenting and senior high school students’ self-concepts on delinquency in Taiwan metropolitan areas. Journal of Research in Education Sciences, 55(3), 1-31.]

Agnew, R. (2013). When criminal coping is likely: An extension of general strain theory. Deviant Behavior, 34(8), 653-670.

Agnew, R. (2016). A theory of crime resistance and susceptibility. Criminology, 54(2), 181-211. Akers, R. (2009). Social learning and social structure: A general theory of crime and devianceNew Brunswick, NJ: Transaction Publishers.

Baek, H., Roberts, A. M., Seepersad, R., & Swartz, K. (2019). Examining negative emotions as mediators between exposures to family violence and bullying: A gendered perspective. Journal of School Violence, 18(3), 440-454.

Berk, R., & MacDonald, J. M. (2008). Overdispersion and Poisson regression. Journal of Quantitative Criminology, 24(3), 269-284.

Brezina, T., & Azimi, A. M. (2018). Social support, loyalty to delinquent peers, and offending: An elaboration and test of the differential social support hypothesis. Deviant Behavior, 39(5), 648-663.

Britt, C. L., Rocque, M., & Zimmerman, G. M. (2018). The analysis of bounded count data in criminology. Journal of Quantitative Criminology, 34(2), 591-607.

Broidy, L., & Agnew, R. (1997). Gender and crime: A general strain theory perspective. Journal of Research in Crime and Delinquency, 34(3), 275-306.

Broidy, L., & Santoro, W. A. (2018). General strain theory and racial insurgency: Assessing the role of legitimate coping. Justice Quarterly, 35(1), 162-189.

Burton, K. A., Florell, D., & Wygant, D. B. (2013). The role of peer attachment and normative beliefs about aggression on traditional bullying and cyberbullying. Psychology in the Schools, 50(2), 103-115.

Cameron, A. C., & Trivedi, P. K. (2013). Regression analysis of count data. New York, NY: Cambridge University Press.

Chen, H. J., Balan, S., & Price, R. K. (2012). Association of contextual factors with drug use and binge drinking among White, Native American, and Mixed-Race adolescents in the general population. Journal of Youth and Adolescence, 41(11), 1426-1441.

Chen, P., & Vazsonyi, A. T. (2013). Future orientation, school contexts, and problem behaviors: A multilevel study. Journal of Youth and Adolescence, 42(1), 67-81.

Clinard, M. B., & Meier, R. F. (2015). Sociology of deviant behavior. Belmont, CA: Nelson Education.

Craig, J. M. (2016). Which bond matters more? Assessing the differential strengths of parental bonding measures on adolescent delinquency over time. Youth Violence and Juvenile Justice, 14(3), 225-242.

Daspe, M. È., Arbel, R., Ramos, M. C., Shapiro, L. A., & Margolin, G. (2019). Deviant peers and adolescent risky behaviors: The protective effect of nonverbal display of parental warmth. Journal of Research on Adolescence, 29(4), 863-878.

Eassey, J. M., Gibson, C. L., & Krohn, M. D. (2015). Using a group-based trajectory approach to assess risk and protective factors of marijuana use. Journal of Drug Issues, 45(1), 4-21.

Felson, M., & Boba, R. L. (2010). Crime and everyday life (4th ed.). Thousand Oaks, CA: Sage. Fine, A., Mahler, A., Simmons, C., Chen, C., Moyzis, R., & Cauffman, E. (2016). Relations between three dopaminergic system genes, school attachment, and adolescent delinquency. Developmental Psychology, 52(11), 1893.

Forsyth, C. J., Dick, S. J., Chen, J., Biggar, R. W., Jr., Forsyth, Y. A., & Burstein, K. (2018). Social psychological risk factors, delinquency and age of onset. Criminal Justice Studies, 31(2), 178-191.

Gomes, H. S., Farrington, D. P., Maia, Â., & Krohn, M. D. (2019). Measurement bias in self-reports of offending: A systematic review of experiments. Journal of Experimental Criminology, 15(3), 313-339.

Gottfredson, M. R., & Hirschi, T. (1990). A general theory of crime. Stanford, CA: Stanford University Press.

Greene, W. H. (1994). Accounting for excess zeros and sample selection in Poisson and negative binomial regression models. Working Papers, New York University, Leonard N. Stern School of Business, Department of Business, Department of Economics.

Hirschi, T. (1969). Causes of delinquency. Berkeley, CA: University of California Press.
Huck, J. L., Spraitz, J. D., Bowers, J. H., Jr., & Morris, C. S. (2017). Connecting opportunity 
and strain to understand deviant behavior: a test of general strain theory. Deviant Behavior, 38(9), 1009-1026.

Hughes, L. A., & Short, J. F. (2014). Partying, cruising, and hanging in the streets: Gangs, routine activities, and delinquency and violence in Chicago, 1959-1962. Journal of Quantitative Criminology, 30(3), 415-451.

Humlum, M. K., & Smith, N. (2015). Long-term effects of school size on students’ outcomes. Economics of Education Review, 45, 28-43.

Kaufman, J. M. (2009). Gendered responses to serious strain: The argument for a general strain theory of deviance. Justice Quarterly, 26(3), 410-444.

Kleiber, C., & Zeileis, A. (2016). Visualizing count data regressions using rootograms. The American Statistician, 70(3), 296-303.

Klein, J., Cornell, D., & Konold, T. (2012). Relationships between bullying, school climate, and student risk behaviors. School Psychology Quarterly, 27(3), 154-169.

Koon-Magnin, S., Bowers, D., Langhinrichsen-Rohling, J., & Arata, C. (2016). Social learning, self-control, gender, and variety of violent delinquency. Deviant Behavior, 37(7), 824-836. Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1-14.

Leung, A., & Ferris, J. S. (2008). School size and youth violence. Journal of Economic Behavior & Organization, 65(2), 318-333.

Lo, C. C., Kim, Y. S., Allen, T. M., Allen, A. N., Minugh, P. A., & Lomuto, N. (2011). The impact of school environment and grade level on student delinquency: A multilevel modeling approach. Crime & Delinquency, 57(4), 622-657.

Loukas, A., Ripperger-Suhler, K. G., & Herrera, D. E. (2012). Examining competing models of the associations among peer victimization, adjustment problems, and school connectedness. Journal of School Psychology, 50(6), 825-840.

MacDonald, J. M., & Lattimore, P. K. (2010). Count models in criminology. In A. Piquero & D. Weisburd (Eds.), Handbook of quantitative criminology (pp. 683-698). New York, NY: Springer.

Mann, F. D., Patterson, M. W., Grotzinger, A. D., Kretsch, N., Tackett, J. L., Tucker-Drob, E.M., & Harden, K. P. (2016). Sensation seeking, peer deviance, and genetic influences on adolescent delinquency: Evidence for person-environment correlation and interaction. Journal of Abnormal Psychology, 125(5), 679-691.

Markova, S., & Nikitskaya, E. (2017). Coping strategies of adolescents with deviant behaviour. International Journal of Adolescence and Youth, 22(1), 36-46.

McCoy, S. S., Dimler, L. M., Samuels, D. V., & Natsuaki, M. N. (2019). Adolescent susceptibility to deviant peer pressure: Does gender matter?. Adolescent Research Review, 4(1), 59-71.

McDonough, M. H., Jose, P. E., & Stuart, J. (2016). Bi-directional effects of peer relationships and adolescent substance use: A longitudinal study. Journal of Youth and Adolescence, 45(8), 1652-1663.

McLaughlin, A., Campbell, A., & McColgan, M. (2016). Adolescent substance use in the context of the family: A qualitative study of young people’s views on parent-child attachments, parenting style and parental substance use. Substance Use & Misuse, 51(14), 1846-1855.

Mercer, N., Crocetti, E., Meeus, W., & Branje, S. (2018). An experimental investigation of the influence of deviant peers on own deviancy: A replication study. Journal of Experimental Criminology, 14(3), 429-438.

Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review, 100(4), 674-701.

Moon, B., & Morash, M. (2017). Gender and general strain theory: A comparison of strains, mediating, and moderating effects explaining three types of delinquency. Youth & Society, 49(4), 484-504.

Murray, J., & Farrington, D. P. (2010). Risk factors for conduct disorder and delinquency: Key findings from longitudinal studies. The Canadian Journal of Psychiatry, 55(10), 633-642.

Murphy, A., Steele, M., Dube, S. R., Bate, J., Bonuck, K., Meissner, P., Goldman, H., & Steele, H. (2014). Adverse childhood experiences (ACEs) questionnaire and adult attachment interview (AAI): Implications for parent child relationships. Child Abuse & Neglect, 38(2), 224-233. https://doi.org/j.chiabu.2013.09.004

O’hara, R. B., & Kotze, D. J. (2010). Do not log-transform count data. Methods in Ecology and Evolution, 1(2), 118-122.

Osgood, D. W. (2000). Poisson-based regression analysis of aggregate crime rates. Journal of Quantitative Criminology, 16(1), 21-43.

Paternoster, R., McGloin, J. M., Nguyen, H., & Thomas, K. J. (2013). The causal impact of exposure to deviant peers: An experimental investigation. Journal of Research in Crime and Delinquency, 50, 476-503.

Peterson, B. E., Lee, D., Henninger, A. M., & Cubellis, M. A. (2016). Social bonds, juvenile delinquency, and Korean adolescents: Intra-and inter-individual implications of Hirschi’s social bonds theory using panel data. Crime & Delinquency, 62(10), 1337-1363.

Pratt, T. C., Cullen, F. T., Sellers, C. S., Winfree, L. T., Madensen, T. D., Daigle, L. E., Fearn, N. E., & Gau, J. M. (2010). The empirical status of social learning theory: A meta-analysis. Justice Quarterly, 27(6), 765-802. https://doi.org/10.1080/07418820903379610

Rivenbark, J. G., Odgers, C. L., Caspi, A., Harrington, H., Hogan, S., Houts, R. M., Poulton, R., & Moffitt, T. E. (2018). The high societal costs of childhood conduct problems: Evidence from administrative records up to age 38 in a longitudinal birth cohort. Journal of Child Psychology and Psychiatry, 59(6), 703-710. https://doi.org/10.1111/jcpp.12850

Rydberg, J., & Carkin, D. M. (2017). Utilizing alternate models for analyzing count outcomes. Crime & Delinquency, 63(1), 61-76.

Schaefer, D. R. (2018). A network analysis of factors leading adolescents to befriend substance- using peers. Journal of Quantitative Criminology, 34(1), 275-312.

Svensson, R. (2003). Gender differences in adolescent drug use: The impact of parental monitoring and peer deviance. Youth & Society, 34(3), 300-329.

Thaxton, S., & Agnew, R. (2018). When criminal coping is likely: An examination of conditioning effects in general strain theory. Journal of Quantitative Criminology, 34(4), 887-920.

Tukey, J. W. (1977). Exploratory data analysis. Reading, MA: Addison-Wesley.
Vuong, Q. H. (1989). Likelihood ratio tests for model selection and non-nested hypotheses. 
Econometrica, 57(2), 307-333.

Wilson, P. (2015). The misuse of the Vuong test for non-nested models to test for zero-inflation. Economics Letters, 127, 51-53.

Zeileis, A., Kleiber, C., & Jackman, S. (2008). Regression models for count data in R. Journal of Statistical Software, 27(8), 1-25.