This study tested self-control and opportunities theories to examine cyberbullying developmental trajectories through the estimation of a latent class growth analysis. Data from a 6-year longitudinal study of middle- and high-school students from South Korea were analyzed to examine if there are unique growth trajectories for cyberbullying perpetration when accounting for low self-control and opportunity factors. Results suggest that there are three distinct subgroups: (1) a normative trajectory group, (2) an increasing and late-peak group, and (3) an early onset and decreasing group. Low self-control was found to be significantly associated with early onset/decreasing cyberbullying. Opportunity to utilize cyberspace was significantly related with increasing/late peak cyberbullying but did not significantly mediate the effect of low self-control on class membership.
AkersR. L.JensenG. F. (2008). The empirical status of social learning theory of crime and deviance: The past, present, and future. In CullenF. T.WrightJ. P.BlevinsK. R. (Eds.), Taking stock: The status of criminological theory (pp. 37–76). Transaction Publishers.
2.
AndrewsD. A.ZingerI.HogeR. D.BontaJ.GendreauP.CullenF. T. (1990). Does correctional treatment work? A clinically relevant and psychologically informed meta-analysis. Criminology, 28(3), 369–404.
3.
AngR. P. (2015). Adolescent cyberbullying: A review of characteristics, prevention and intervention strategies. Aggression and Violent Behavior, 25(A), 35–42.
4.
ArneklevB. J.CochranJ. K.GaineyR. R. (1998). Testing Gottfredson and Hirschi’s “low self-control” stability hypothesis: An exploratory study. American Journal of Criminal Justice, 23(1), 107–127.
5.
ArntfieldM. (2015). Toward a cybervictimology: Cyberbullying, routine activities theory, and the anti-sociality of social media. Canadian Journal of Communication, 40, 371–388.
6.
BarkerE. D.SéguinJ. R.WhiteH. R.BatesM. E.LacourseE.CarbonneauR.TremblayR. E. (2007). Developmental trajectories of male physical violence and theft: relations to neurocognitive performance. Archives of General Psychiatry, 64(5), 592–599.
7.
BaronR. M.KennyD. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173–1182.
8.
BendixenM.EndresenI. M.OlweusD. (2003). Variety and frequency scales of antisocial involvement: Which one is better?Legal and Criminological Psychology, 8(2), 135–150.
9.
BotchkovarE.MarshallI. H.RocqueM.PosickC. (2015). The importance of parenting in the development of self-control in boys and girls: Results from a multinational study of youth. Journal of Criminal Justice, 43(2), 133–141.
10.
ChisholmJ. F. (2014). Review of the status of cyberbullying and cyberbullying prevention. Journal of Information Systems Education, 25(1), 77–87.
11.
ChoS. (2018). The impact of low self-control and delinquent peer associations on bullying perpetration and victimization among South Korean adolescents: Time-concurrent, time-lagged, and latent growth curve modeling. Journal of School Violence, 17(4), 500–520.
12.
ChoS.LeeJ. R. (2018). Impacts of low self-control and delinquent peer associations on bullying growth trajectories among Korean youth: a latent growth mixture modeling approach. Journal of Interpersonal Violence, 1–31. https://doi.org/10.1177/0886260518786495
13.
ChoS.GlassnerS.LeeJ. M. (2019). Impact of low self-control, parental involvement, and peer relationships on changes of bullying perpetration over time: A latent growth curve model of a sample of South Korean adolescents. Children and Youth Services Review. https://linkinghub.elsevier.com/retrieve/pii/S0190740919303433
14.
CohenL. E.FelsonM. (1979). Social Change and crime rate trends: A routine activities approach. American Sociological Review, 44(4), 588–608.
15.
ChuiW. H.ChanH. C. O. (2013). Association between self-control and school bullying behaviors among Macanese adolescents. Child Abuse and Neglect, 37(4), 237–242.
16.
ChuiW. H.ChanH. C. O. (2015). Self-control, school bullying perpetration, and victimization among Macanese adolescents. Journal of Child and Family Studies, 24(6), 1751–1761.
17.
CullenF. T.UnneverJ. D.WrightJ. P.BeaverK. M. (2008). Parenting and self-control. In GoodeE. (Ed.), Out of control: Assessing the general theory of crime (pp. 61–74). Stanford University Press.
18.
FletcherA.Fitzgerald-YauN.JonesR.AllenE.VinerR. M.BonellC. (2014). Brief report: Cyberbullying perpetration and its associations with socio-demographics, aggressive behavior at school, and mental health outcomes. Journal of Adolescence, 37(8), 1393–1398.
19.
GottfredsonM. R.HirschiT. (1990). A general theory of crime. Stanford University Press.
20.
GuoS. (2016). A meta-analysis of the predictors of cyberbullying perpetration and victimization. Psychology in the Schools, 53(4), 432–453.
21.
HaganF. (2012). Essentials of research methods in criminal justice and criminology (3rd ed.). Allyn and Bacon.
22.
HindelangM.GottfredsonM.GarofaloJ. (1978). Victims of personal crime: An empirical foundation for a theory of personal victimization. Ballinger.
23.
HindujaS.PatchinJ. W. (2010). Bullying, cyberbullying, and suicide. Archives of Suicide Research, 14(3), 206–221.
24.
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.
25.
JacksonD. B.VaughnM. G. (2018). A multi-informant study of the role of household disorder in low self-control. Criminal Justice and Behavior, 45(12), 1977–1996.
26.
KimJ.SongH.JenningsW. G. (2017). A distinct form of deviance or a variation of bullying? Examining the developmental pathways and motives of cyberbullying compared with traditional bullying in South Korea. Crime and Delinquency, 63(12), 1600–1625.
27.
KokkinosC. M.AntoniadouN.AsdreA.VoulgaridouK. (2014). Parenting and internet behavior predictors of cyber-bullying and cyber-victimization among preadolescents. Deviant Behavior, 37(4), 439–455.
28.
KowalskiR. M.GiumettiG. W.SchroederA. N.LattannerM. R. (2014). Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 1073–1137.
29.
LeeC.ShinN. (2017). Prevalence of cyberbullying and predictors of cyberbullying perpetration among Korean adolescents. Computers in Human Behavior, 68(C), 352–358.
30.
LiC. K. W.HoltT. J.BosslerA. M.MayD. C. (2016). Examining the mediating effects of social learning on the low self-control-cyberbullying relationship in a youth sample. Deviant Behavior, 37(2), 126–138.
31.
MietheT. D.MeierR. F. (1990). Opportunity, choice, and criminal victimization: A test of a theoretical model. Journal of Research in Crime and Delinquency, 27(3), 243–266.
32.
MishnaF.CookC.GadallaT.DaciukJ.SolomonS. (2010). Cyber bullying behaviors among middle and high school students. American Journal of Orthopsychiatry, 80(3), 362–374.
33.
MishnaF.Khoury-KassabriM.GadallaT.DaciukJ. (2012). Risk factors for involvement in cyber bullying: Victims, bullies and bully-victims. Children and Youth Services Review, 34(1), 63–70.
34.
ModeckiK. L.BarberB. L.VernonL. (2013). Mapping developmental precursors of cyber-aggression: Trajectories of risk predict perpetration and victimization. Journal of Youth and Adolescence, 42(5), 651–661.
35.
MoffittT. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review, 100(4), 674–701.
36.
MoonB.AlaridL. F. (2015). School bullying, low self-control, and opportunity. Journal of Interpersonal Violence, 30(5), 839–856.
37.
MoonB.HwangH. W.McCluskeyJ. D. (2011). Causes of school bullying: Empirical test of a general theory of crime, differential association, and general strain theory. Crime and Delinquency, 57(6), 849–877.
38.
MoonB.MorashM.McCluskeyJ. D. (2012). General strain theory and school bullying: An empirical test in South Korea. Crime and Delinquency, 58(6), 827–855.
39.
MuthénB.MuthénL. K. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and experimental research, 24(6), 882–891.
NaginD. S. (1999). Analyzing developmental trajectories: a semiparametric, group-based approach. Psychological Methods, 4(2), 139–157.
42.
NaginD. S. (2005). Group-based modeling of development. Harvard University Press.
43.
NavarroJ. N.JasinskiJ. L. (2012). Going cyber: Using routine activities theory to predict cyberbullying experiences. Sociological Spectrum, 32(1), 81–94.
44.
NavarroJ. N.JasinskiJ. L. (2013). Why girls? Using routine activities theory to predict cyberbullying experiences between girls and boys. Women & Criminal Justice, 23(4), 286–303.
45.
NgoF. T.PaternosterR. (2011). Cybercrime Victimization: An examination of Individual and Situational level factors. International Journal of Cyber Criminology, 5(1), 773–793.
46.
Nylund-GibsonK.MasynK. E. (2016). Covariates and mixture modeling: Results of a simulation study exploring the impact of misspecified effects on class enumeration. Structural Equation Modeling: A Multidisciplinary Journal, 23(6), 782–797.
47.
OlweusD. (1978). Aggression in the schools: Bullies and whipping boys. Hemisphere.
48.
PabianS.VandeboschH. (2016). Developmental trajectories of (cyber) bullying perpetration and social intelligence during early adolescence. Journal of Early Adolescence, 36(2), 145–170.
49.
PatchinJ. W.HindujaS. (2010). Cyberbullying and self-esteem. Journal of School Health, 80(12), 614–621.
50.
PeplerD.JiangD.CraigW.ConnollyJ. (2008). Developmental trajectories of bullying and associated factors. Child Development, 79(2), 325–338.
51.
PrattT. C.CullenF. T. (2000). The empirical status of Gottfredson and Hirschi’s general theory of crime: A meta-analysis. Criminology, 38(3), 931–964.
52.
RiceE.PeteringR.RhoadesH.WinetrobeH.GoldbachJ.PlantA.MontoyaJ.KordicT. (2015). Cyberbullying perpetration and victimization among middle-school students. American Journal of Public Health, 105(3), 66–72.
53.
RoederK.LynchK. G.NaginD. S. (1999). Modeling uncertainty in latent class membership: A case study in criminology. Journal of the American Statistical Association, 94(447), 766–776.
54.
SampsonR. J.LaubJ. H. (2003). Life-course desisters? Trajectories of crime among delinquent boys followed to age 70. Criminology, 41(3), 555–592.
55.
SeipelC.EiflerS. (2010). Opportunities, rational choice, and self-control: On the interaction of person and situation in a general theory of crime. Crime & Delinquency, 56(2), 167–197.
56.
SlonjeR.SmithP. K.FrisenA. (2012). Processes of cyberbullying, and feelings of remorse by bullies: A pilot study. European Journal of Developmental Psychology, 9(2), 244–259.
57.
TittleC. R.WardD. A.GrasmickH. G. (2003). Gender, age and crime deviance: A challenge to self-control theory. Journal of Research in Crime and Delinquency, 40(4), 426–453.
58.
UnneverJ. D.CornellD. G. (2003). Bullying, self-control, and ADHD. Journal of Interpersonal Violence, 18(2), 129–147.
59.
U.S. Department of Education (2011, November). Student victimization in U.S. schools: Results from the 2009 crime supplement to the National Crime Victimization Survey. Retrieved August 5, 2020. https://nces.ed.gov/pubs2012/2012314.pdf
60.
U.S. Department of Education (2018). Student victimization in U.S. schools: Results from the 2015 school crime supplement to the National Crime Victimization Survey. https://nces.ed.gov/pubs2018/2018106.pdf
61.
VazsonyiA. T.MachackovaH.SevcikovaA.SmahelD.CernaA. (2012). Cyberbullying in context: Direct and indirect effects by low self-control across 25 European countries. European Journal of Developmental Psychology, 9(2), 210–227.
62.
VermuntJ. K.MagidsonJ. (2003). Latent class models for classification. Computational Statistics & Data Analysis, 41(3–4), 531–537.
63.
ZychIBaldryA. C.FarringtonD. P.LlorentV. J. (2019). Are children involved in cyberbullying low on empathy? A systematic review and meta-analysis of research on empathy versus different cyberbullying roles. Aggression and Violent Behavior, 45, 83–97. https://doi.org/10.1016/j.avb.2018.03.004
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