Criminological inquiry has identified a range of risk factors associated with juvenile delinquency. However, little research has assessed juvenile computer hacking, despite the substantial harm and opportunities for delinquent behavior online. Therefore, understanding the applicability of criminological risk factors among a cross-national sample of juvenile hackers is important from a theoretical and applied standpoint. This study aimed to address this gap using a logistic regression and latent class analysis (LCA) of risk factors associated with self-reported hacking behavior in a sample of more than 60,000 juveniles from around the globe. Results demonstrated support for individual- and structural-level predictors of delinquency, although distinct risk factors for hacking among three subtypes are identified in the LCA. This study examines criminological risk factors for juvenile hacking in a cross-national sample and provides insight into the distinct risk factors of hacking, so more tailored prevention and treatment modalities can be developed.
AkersR. L. (1998). Social learning and social structure: A general theory of crime and deviance. Northeastern University Press.
2.
AndrewsD. A.BontaJ. (2010). Rehabilitating criminal justice policy and practice. Psychology, Public Policy, and Law, 16(1), 39–55.
3.
AsscherJ. J.DekovićM.Van den AkkerA. L.PrinsP. J.Van der LaanP. H. (2018). Do extremely violent juveniles respond differently to treatment?International Journal of Offender Therapy and Comparative Criminology, 62(4), 958–977.
4.
BachmannM. (2010). The risk propensity and rationality of computer hackers. International Journal of Cyber Criminology, 4, 643–656.
5.
BaeS. M. (2017). The influence of strain factors, social control factors, self-control and computer use on adolescent cyber delinquency: Korean National Panel Study. Children and Youth Services Review, 78, 74–80.
6.
BaglivioM. T.WolffK. T.JackowskiK.GreenwaldM. A. (2017). A multilevel examination of risk/need change scores, community context, and successful reentry of committed juvenile offenders. Youth Violence and Juvenile Justice, 15(1), 38–61.
7.
BoscoF. (2012, October). The new cybercriminals HPP: Hackers profiling project [Conference session]. Proceedings of the Conference on Telecommunications and IT Security (SECURE 2012), Warsaw, Poland. www.secure.edu.pl/pdf/2012/D1_1545_A_Bosco.pdf
8.
BosslerA. M.BurrussG. W. (2011). The general theory of crime and computer hacking: Low self-control hackers? In HoltT. J.SchellB. (Eds.), Corporate hacking and technology-driven crime: Social dynamics and implications (pp. 57–81). IGI Global.
9.
BosslerA. M.HoltT. J. (2010). The effect of self-control on victimization in the cyberworld. Journal of Criminal Justice, 38, 227–236.
10.
BroganL.Haney-CaronE.NeMoyerA.DeMatteoD. (2015). Applying the risk-needs-responsivity (RNR) model to juvenile justice. Criminal Justice Review, 40(3), 277–302.
11.
BursikR. J.GrasmickH. G. (1993). Neighborhoods and crime. Lexington Books.
12.
CalceM.SilvermanC. (2008). Mafiaboy: How i cracked the internet and why it’s still broken. Penguin Group Canada.
13.
CohenL. E.FelsonM. (1979). Social change and crime rate trends: A routine activity approach. American Sociological Review, 44, 588–608.
14.
ConnellC. M.SteegerC. M.SchroederJ. A.FranksR. P.TebesJ. K. (2016). Child and case influences on recidivism in a statewide dissemination of multisystemic therapy for juvenile offenders. Criminal Justice and Behavior, 43(10), 1330–1346.
15.
DeLisiM.PiqueroA. R. (2011). New frontiers in criminal careers research, 2000–2011: A state-of-the-art review. Journal of Criminal Justice, 39(4), 289–301.
16.
DowdenC.AndrewsD. (2003). Does family intervention work for delinquents? Results of a meta-analysis. Canadian Journal of Criminology and Criminal Justice, 45(3), 327–342.
17.
EscueM.FoxB.JenningsW. G. (2020). Do developmental and life-course theory risk factors equally predict age of onset among juvenile sexual and nonsexual offenders?Sexual Abuse, 32(1), 55–78.
18.
FaganA. A.WrightE. M. (2012). The effects of neighborhood context on youth violence and delinquency: Does gender matter?Youth Violence and Juvenile Justice, 10(1), 64–82.
19.
FarringtonD. P. (2000). Explaining and preventing crime: The globalization of knowledge—The American Society of Criminology 1999 Presidential Address. Criminology, 38(1), 1–24.
20.
FarringtonD. P.LoeberR.TtofiM. M. (2012). Risk and protective factors for offending. In WelshB. C.FarringtonD. P. (Eds.), The Oxford handbook of crime prevention (pp. 46–69). Oxford University Press.
21.
FarringtonD. P.WelshB. C. (2006). A half century of randomized experiments on crime and justice. Crime and Justice, 34(1), 55–132.
22.
FoxB.DeLisiM. (2018). From criminological heterogeneity to coherent classes: Developing a typology of juvenile sex offenders. Youth Violence and Juvenile Justice, 16, 299–318.
23.
FoxB.FarringtonD. P. (2012). Creating burglary profiles using latent class analysis: A new approach to offender profiling. Criminal Justice and Behavior, 39, 1582–1611.
24.
FoxB.PerezN.CassE.BaglivioM. T.EppsN. (2015). Trauma changes everything: Examining the relationship between adverse childhood experiences and serious, violent, and chronic juvenile offenders. Child Abuse & Neglect, 46, 163–173.
25.
FurnellS. (2002). Cybercrime: Vandalizing the information society. Addison-Wesley.
26.
GottfredsonM. R.HirschiT. (1990). A general theory of crime. Stanford University Press.
27.
GrasmickH. G.TittleC. R.BursikR. J.ArneklevB. J. (1993). Testing the core empirical implications of Gottfredson and Hirschi’s general theory of crime. Journal of Research in Crime and Delinquency, 30, 5–29.
28.
GraboskyP. (2016). Cybercrime. Oxford University Press.
29.
HagenaarsJ. A.McCutcheonA. L. (Eds.). (2002). Applied latent class analysis. Cambridge University Press.
30.
HerrenkohlT. I.MaguinE.HillK. G.HawkinsJ. D.AbbottR. D.CatalanoR. F. (2000). Developmental risk factors for youth violence. Journal of Adolescent Health, 26(3), 176–186.
31.
HigginsG. E.MarcumC. D. (2011). Digital piracy: An integrated theoretical approach. Carolina Academic Press.
32.
HigginsG. E.WolfeS. E.RicketsM. L. (2009). Digital piracy: A latent class analysis. Social Science Computer Review, 27, 24–40.
33.
HoltT. J. (2007). Subcultural evolution? Examining the influence of on- and off-line experiences on deviant subcultures. Deviant Behavior, 28, 171–198.
34.
HoltT. J.BosslerA. M. (2009). Examining the applicability of lifestyle-routine activities theory for cybercrime victimization. Deviant Behavior, 30, 1–25.
35.
HoltT. J.BosslerA. M. (2015). Cybercrime in progress: Theory and prevention of technology-enabled offenses. Routledge.
36.
HoltT. J.BosslerA. M.MayD. C. (2012). Low self-control, deviant peer associations, and juvenile cyberdeviance. American Journal of Criminal Justice, 37(3), 378–395.
37.
HoltT. J.BurrussG. W.BosslerA. M. (2010). Social learning and cyber deviance: Examining the importance of a full social learning model in the virtual world. Journal of Crime and Justice, 33, 31–61.
38.
HoltT. J.CopesJ. H. (2010). Transferring subcultural knowledge on-line: Practices and beliefs of persistent digital pirates. Deviant Behavior, 31, 625–654.
39.
HoltT. J.TurnerM. G.ExumM. L. (2014). The impact of self-control and neighborhood disorder on bullying victimization. Journal of Criminal Justice, 42(4), 347–355.
40.
HsiehM. L.WangS. Y. K. (2018). Routine activities in a virtual space: A Taiwanese case of an ATM hacking spree. International Journal of Cyber Criminology, 12(1), 333–352.
41.
HutchingsA.ChuaY. T. (2017). Gendering cybercrime. In HoltT. J. (Ed.), Cybercrime through an interdisciplinary lens (pp. 181–202). Routledge.
42.
JordanT.TaylorP. (1998). A sociology of hackers. The Sociological Review, 46, 757–780.
43.
Junger-TasJ. (2010). The significance of the international self-report delinquency study (ISRD). European Journal on Criminal Policy and Research, 16(2), 71–87.
44.
Junger-TasJ.MarshallI. H. (2012). Introduction to the International Self-Report Study of Delinquency (ISRD-2). In Junger-TasJ.MarshallI. H.EnzmannD.KilliasM.SteketeeM.GruszczynskaB. (Eds.), The many faces of youth crime (pp. 3–20). Springer.
45.
KendzioraK. T.OsherD. M. (2004). Fostering resilience among youth in the juvenile justice system. In Clauss-EhlersC. S.WeistM. D. (Eds.), Community planning to foster resilience in children (pp. 177–195). Springer.
46.
KwanL.RayP.StephensG. (2008, January). Towards a methodology for profiling cyber criminals [Conference session]. Proceedings of the 41st Annual Hawaii International Conference on System Sciences, Waikoloa, HI, United States.
47.
LauritsenJ. L.LaubJ. H. (2007). Understanding the link between victimization and offending: New reflections on an old idea. In HoughM.MaxfieldM. (Eds.), Surveying crime in the 21st century: Commemorating the 25th anniversary of the British crime survey (pp. 55–75). Criminal Justice Press.
48.
LeukfeldtE. R. (Ed.). (2017). Research agenda the human factor in cybercrime and cybersecurity. Eleven International Publishing.
49.
LeukfeldtE. R.YarM. (2016). Applying routine activity theory to cybercrime: A theoretical and empirical analysis. Deviant Behavior, 37(3), 263–280.
50.
LipseyM. W.CullenF. T. (2007). The effectiveness of correctional rehabilitation: A review of systematic reviews. Annual Review of Law and Social Science, 3, 297–320.
51.
LoeberR.FarringtonD. P. (1998). Never too early, never too late: Risk factors and successful interventions for serious and violent juvenile offenders. Studies on Crime & Crime Prevention, 7, 7–30.
52.
MarcumC. D.HigginsG. E.RickettsM. L.WolfeS. E. (2014). Hacking in high school: Cybercrime perpetration by juveniles. Deviant Behavior, 35(7), 581–591.
53.
MarshallI. H.EnzmannD. (2012). Methodology and design of the ISRD-2 study. In Junger-TasJ.MarshallI. H.EnzmannD.KilliasM.SteketeeM.GruszczynskaB. (Eds.), The many faces of youth crime (pp. 21–65). Springer.
54.
McCuddyT.EsbensenF. A. (2017). After the bell and into the night: The link between delinquency and traditional, cyber-, and dual-bullying victimization. Journal of Research in Crime and Delinquency, 54(3), 409–441.
55.
MunizC. N.FoxB.MileyL. N.DelisiM.CigarranG. P.BirnbaumA. (2019). The effects of adverse childhood experiences on internalizing versus externalizing outcomes. Criminal Justice and Behavior, 46(4), 568–589.
56.
MuthénL. K.MuthénB. O. (2000). Mplus user’s guide (5th ed.).
57.
NCA. (2017). Intelligence assessment: Pathways into cybercrime. National Crime Agency.
58.
NykodymN.TaylorR.VilelaJ. (2005). Criminal profiling and insider cyber crime. Computer Law & Security Review, 21(5), 408–414.
59.
NylundK. L.AsparouhovT.MuthénB. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling: A Multidisciplinary Journal, 14(4), 535–569.
60.
PrattT. C.CullenF. T. (2000). The empirical status of Gottfredson and Hirschi’s general theory of crime: A meta-analysis. Criminology, 38, 931–964.
61.
PrattT. C.CullenF. T. (2005). Assessing macro-level predictors and theories of crime: A meta-analysis. Crime and Justice, 32, 373–450.
62.
PreubJ.FurnellS. M.PapadakiM. (2007). Considering the potential of criminal profiling to combat hacking. Journal in Computer Virology, 3(2), 135–141.
63.
RayJ. V.JonesS.LoughranT. A.JenningsW. G. (2013). Testing the stability of self-control: Identifying unique developmental patterns and associated risk factors. Criminal Justice and Behavior, 40, 588–607.
64.
SampsonR. J. (2017). Family management and child development: Insights from social disorganization theory. In McCordJ. (Ed.), Facts, frameworks, and forecasts (pp. 63–94). Routledge.
65.
SampsonR. J.RaudenbushS. W. (2001). Disorder in urban neighborhoods: Does it lead to crime. Office of Justice Programs, National Institute of Justice, U.S. Department of Justice.
66.
SchellB. H.DodgeJ. L. (2002). The hacking of America: Who’s doing it, why and how. Quorum Books.
67.
SkinnerW. F.FreamA. M. (1997). A social learning theory analysis of computer crime among college students. Journal of Research in Crime and Delinquency, 34(4), 495–518.
68.
SlatallaM.QuittnerJ. (1995). Masters of deception: The gang that ruled cyberspace. HarperCollins.
69.
SteinmetzK. F. (2015). Craft(y)ness: An ethnographic study of hacking. British Journal of Criminology, 55(1), 125–145.
70.
SteinmetzK. F.HoltT. J.HoltK. M. (2020). Decoding the binary: Reconsidering the hacker subculture through a gendered lens. Deviant Behavior, 41(8), 936–948.
71.
TaylorP. (1999). Hackers: Crime in the digital sublime. Routledge.
72.
ThornberryT. P.HuizingaD.LoeberR. (1995). The prevention of serious delinquency and violence: Implications from the program of research on the causes and correlates of delinquency. In HowellJ. C.KrisbergB.HawkinsJ. D.WilsonJ. J. (Eds.), Sourcebook on serious, violent, and chronic juvenile offenders (pp. 213–237). SAGE.
73.
VermuntJ. K.MagidsonJ. (2005). Technical guide for latent GOLD 4.0: Basic and advanced. Statistical Innovations.
74.
UdrisR. (2016). Cyber deviance among adolescents and the role of family, school, and neighborhood: A cross-national study. International Journal of Cyber Criminolology, 10, 127–146.
75.
YarM. (2005). Computer hacking: Just another case of juvenile delinquency?The Howard Journal of Criminal Justice, 44(4), 387–399.
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