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A Study on Relationship between Media Environment and Adolescent Cyber-Delinquency : Focused on X-rated Media Commitment

매체환경과 청소년 사이버비행과의 관계에 대한 연구 : 성인매체몰입을 중심으로

  • 이창문 (서강대학교 사회복지학과) ;
  • 문진영 (서강대학교 사회복지학과) ;
  • 박주원 (서강대학교 사회복지학과)
  • Received : 2019.02.18
  • Accepted : 2019.04.20
  • Published : 2019.04.28

Abstract

The purpose of this study is to investigate what factors affect cyber-delinquency after examining the previous research focusing on the general strain theory and the delinquency opportunity theory in the existing studies. And as adolescents move from middle school to high school, this study is intended to analyze what factors affect cyber-delinquency from a longitudinal perspective using KCYPS(Korea Child and Youth Panel Survey) elementary 4th grade fourth and seventh data. The adolescence cyber-delinquency probability of occurrence were analyzed through the panel logit fixed-effect model using STATA. And then the cyber-delinquency frequency of adolescents were analyzed through the panel tobit random-effect model. As a result of analyzing the factors affecting cyber-delinquency frequency, Adult media commitment, computer use time, and cell phone dependency increased cyber-delinquency frequency. On the other hand, among the parenting attitudes, the attitude of supervising attentively and adolescents' age-increasing decreased cyber-delinquency frequency.

본 연구는 사이버 비행에 영향을 미치는 요인은 무엇인지를 살펴보기 위해 기존의 여러 연구에서 검토된 일반긴장 이론, 비행기회 이론을 중심으로 선행연구를 고찰한 이후 한국 아동 청소년 패널 초등학교 4학년을 대상으로 한 패널 4차 자료와 7차 자료를 이용하여 청소년이 중학교에서 고등학교로 이행하는 과정에서 사이버 비행에 영향을 주는 요인을 종단적 측면에서 분석하고자 하였다. 연구방법은 STATA 프로그램을 이용하여 사이버 비행을 저지르는 결정요인을 패널 로짓분석을 통해 살펴본 다음 이후 패널 토빗확률효과 모형을 통하여 청소년의 사이버 비행횟수에 영향을 주는 요인들에 대해 분석하였다. 분석결과, 사이버 비행횟수와 관련해서는 성인매체몰입, 컴퓨터 사용시간, 휴대폰 의존 정도는 사이버 비행횟수를 증가시켰으며, 연령증가, 부모의 양육태도 중 관심적 감독은 청소년의 사이버 비행횟수를 감소시키는 것으로 나타났다.

Keywords

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Fig. 1. The study model

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Fig. 2. 2013-2016 Adolescent cyber-delinquency

Table 1. Cyber-violence type classification

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Table 2. The Choice of variable

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Table 3. The measurement of variable

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Table 4. Descriptive Statistics of Major Variables

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Table 5. Hausman test result

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Table 6. Adolescent cyber-delinquency occurrence

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Tabe 7. Adolescent Cyber-delinquency frequency

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Table 8. Cyber-delinquency marginal effect

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References

  1. Korea Information Society Development Institution. (2018). 2017 Korea Media Panel Research.
  2. Statistics Korea, Minstry of gender equality and family. (2018). 2018 Adolescent statics, http://www.mogef.go.kr/nw/rpd/nw_rpd_s001d.do?mid=news405&bbtSn=705607.
  3. S. P. Robbins, Prenab Chatterjee & R. C. Edward. (2012). Contemporary Human Behavior Theory 3rd Editon, Allyn and Bacon.
  4. Ministry of Justice. (2017). http://www.prism.go.kr/homepage/main/retrieveMain.do
  5. Y. S. Park & A. N. Lim. (2017). The Effect of Aggression on Juvenile Cyber Delinquency :Mediating Effect of Peer Attachment, Journal of Welfare for Correction, 50, 57-58. https://doi.org/10.35422/cwsk.2017.50.3
  6. S. H. Hwang & K. H. Lee. (2017). The Analysis of Psychological Factors Affecting the Adolescents' Cyber Delinquency, The Journal of Social Science 24(1), 157-175. https://doi.org/10.46415/jss.2017.03.24.1.157
  7. S. S. Park. (2018). The Structural Relationship among Computer Use Hours, Smart Phone Dependency, Pornography Addiction, Learning Activities, and Peer Relationship of Male Adolescents, Social Science Research Review, 34(2), 53-79. https://doi.org/10.18859/ssrr.2018.05.34.2.53
  8. J. W. Lee, S. R. Lee & Y. M. Jung. (2016). Korean Children and Youth Panel Survey VII : Basic Analysis Report I-Adolescent delinquency's actual situation and trend analysis : real and cyber juvenile delinquencies, National Youth Policy Institute, http://www.nypi.re.kr/contents/site.do.
  9. H. R. Jeon & Y. I. Cho. (2015). A Study on the Longitudinal Relation between School Violence Experience and Substance Use, Korean Journal of Youth Studies, 22(1), 111-129.
  10. Y. N. Kim, Y. S. Kim & H. I. Cho. (2018). Structural Relationship among School Violence Experiences during the Third Grade of Middle School, Longitudinal Changes of School Violence Experiences and School Adjustment during High School Periods, Asian Journal of Education 19(1), 29-57. https://doi.org/10.15753/aje.2018.03.19.1.29
  11. H. J. Kim & J. Y. Rha. (2017). Parents, peer, and teachers relations as predictor of adolescent adult media addiction and depression, Family and Environment Research, 55(6), 567-580. https://doi.org/10.6115/fer.2017.041
  12. D. S. Jun, J. S. Lee & D. W. Kim. (2017). Adolescent's mobile phone overuse and pornography addiction, Korean journal of local government and administration studies, 31(1), 107-124. https://doi.org/10.18398/kjlgas.2017.31.1.107
  13. O. S. Kim & H. Y. Choi. (2017). Impact of Maltreatment Experience from Parents on Adolescents' X-rated Media Preoccupation: The Mediating Effect of Mobile Phone Dependency and Aggression, Journal of School Social Work, 37(0), 1-23.
  14. H. J. Shim & H. M. Lee & H. S. Rhee. (2016). Factors Influencing Adult Media Engagement of Adolescents from Micro-systemic Perspective : Mediation Analysis of Cell-Phone Dependency, Journal of the Korean Society of School Health, 29(2), 63-70. https://doi.org/10.15434/kssh.2016.29.2.63
  15. S. H. Lim, Y. I. Song & D. H. Kwak. (2018). The Effects of Juvenile Delinquents' Gambling Behavior and Cyber Delinquency on Gambling Addiction, Korean Criminal Psychology Review, 14(3), 119-132.
  16. Korea Internet & Security Agency. (2017). Laws and Policy Trends of the Internet, 122, https://www.kisa.or.kr/main.jsp
  17. D. I. Kim, H. E. Lee, C. M. Keum, Altteuri Park, J. W. Oh. (2018). Analysis of the Longitudinal Relationship between Recovery and Adaptation Factors According to Types of School Violence Exposure in Youth: Focusing on Resilience and Social Support PDF icon. The Korean Journal of Educational Psycholog, 32(1), 99-132. https://doi.org/10.17286/KJEP.2018.32.1.05
  18. M. S. Ha. (2014). The Latent Classes Depending on Trajectories of Mobile Phone Dependency and Its Relationship with Psychological and Emotional Characteristics amongst Adolescence, Asian Journal of Education, 5(4), 313-336.
  19. T. Y. Kim, S. R Park. (2008). A longitudinal study on the relation between adolescents' media use and personality : A secondary analysis of the Korea Youth Panel Survey 2003-2006, Journal of Communication Research, 45(1), 173-201. https://doi.org/10.22174/jcr.2008.45.1.173
  20. H. W. Jung. (2010). The Changes of Cyber Delinquency and The Predictors in Adolescence, Korean Criminological Review, 263-288.
  21. L. Cohen. & M. Felson. (1979). Social change and crime rate trends : A routine activity approach. American Sociological Review, 44, 588-608. https://doi.org/10.2307/2094589
  22. M. Kim. (2003). A Study on the Reality of Internet Addiction and Cyber-Sexual Addiction among Adolescents, Journal of Adolescent Welfare, 5(1), 53-83.
  23. S. S. Lee. (2009). The Effects of Strain, Low Self-Control, and Internet Time Use on Cyber Delinquency : Testing Three Theories of Delinquency, Korean Criminological Review, 20(1), 95-115.
  24. D. M. Yeum, S. J. Kim & S. D. Lee. (2014). A study of the effect of adolescents' overuse of internet on their cyber delinquency : Focusing on the moderating effect of self-control, Studies on Korean Youth, 25(4), 159-183. https://doi.org/10.14816/sky.2014.25.4.159
  25. S. H. Baek, J. H. Kim. (2018). A Convergence Study on association of Internet Use Time with Perceived Status in Adolescents, Journal of the Korea Convergence Society, 9(11), 153-159. DOI:10.15207/JKCS.2018.9.11.153
  26. J. S. Lee & Y. Y. Ahn. (2005). A Study of Use of Computer by Elementary Schoolers and Cyber- Related Delinquency, Studies on Korean Youth, 16(1), 225-254.
  27. R. Agnew. (1992). Foundation for a general strain theory of crime and delinquency, Criminology, 30(1), 47-88. https://doi.org/10.1111/j.1745-9125.1992.tb01093.x
  28. E. J. Kim, H. J. Shin. (2018). Convergence Study about Factors on Problem Behaviors of Male Students in the Second Grade of Middle School, Journal of the Korea Convergence Society, 9(10), 407-414. DOI:10.15207/JKCS.2018.9.10.407
  29. K. H. Kim & E. J. Cha. (2014). Effects of Parents` Rearing Attitudes on Elementary and Middle School Students' Cyber Delinquency: Mediating Effect of Academic Stress and Moderating Effect of School Level, Korean Journal of Youth Studies, 21(2), 27-54.
  30. S. B. Yoo & W. H. Lee. (2018). Strain factors and juvenile cyber-delinquency in General strain theory, Korean Academy of Public Safety and Criminal Justice, 27(4), 279-306. https://doi.org/10.21181/KJPC.2018.27.4.279
  31. H. W. Jung & D. W. Chung. (2012). The Effects of Korean Adolescents' Self-Control upon their cyber delinquency, Korean Journal of Youth Studies 19(9), 1-23.
  32. Y. H. Sim. (2003). Cyber Sexual Violence and Ethic, Crime Prevention Forum, 12, 55-73.
  33. J. W. Patchin & S. Hinduja. (2006). Bully: beyond the schoolyare: Preventing and responding to cyberbullying, Youth Violence and Juvenile Justice. 4(2). 148-169. https://doi.org/10.1177/1541204006286288
  34. E. K. Kim. (2012). A Study of Effect of the Predictors on Youth's Cyber Bullying, Doctoral dissertation, Myongji University.
  35. B. E. Seo. (2017). The Factors Affecting Cyber Delinquency among Korean Youth : Focus on School Level Differences, The Journal of Educational Research, 15(1), 77-99.
  36. K. H. Kim. (2018). Testing the Bidirectional Relationship between Aggression and Adult Material Addiction in Adolescents : Applying Autoregressive Cross-lagged Modeling, Journal of School Social Work, 43, 27-47. https://doi.org/10.20993/jSSW.43.2
  37. I. S. Min & P. S. Choi. (2012). Advanced Panel Data Analysis, Jiphil media.
  38. J. M. Jin, S. Y. Kim & K. J. Moon. (2016). The Relation between the Public Transfer and the Private Transfer for the Elderly in Busan: Focused on Income Transfer and Service Transfer, Social Welfare Policy, 43(4), 169-192. https://doi.org/10.15855/swp.2016.43.4.169
  39. C. A. Cameron & P. K. Trivedi. (2010). Microecometrics using Stata, Stata Press. 538-552.
  40. J. M. Wooldrige. (2002). Econometrics Analysis of Cross Section and Panel Data, The MIT Press.
  41. H. I. Yoo & K. W. Kim. (2008). Normal Development and Common Psychiatric Illnesses in Adolescence, Journal of Korean Neuropsychiatr Association, 47(5), 415-429.
  42. CBS. (2016). https://www.nocutnews.co.kr/news/4664652
  43. Minstry of gender equality and family. (2016). 2016 Survey on Youth media use and harmful environment, 2016.
  44. Korea Creative Content Agency. (2018). A Study on the Age Rating Standard for Self-Regulation of Webtoon, 2018.