Abstract
Previous studies uncovered that perceived parental monitoring, personality, and self-control were three important external and internal factors that influenced adolescents’ online deviant behaviors. However, as the dark side of personality, the Dark triad, which implies a disagreeable disposition, lack of humility, belief of being able to predict future outcomes and an opportunistic life strategy, has rarely been used to explore its relationship with online deviant behaviors. Based on problem behavior theory, general aggression model, and models of risk factors and protective factors on problem/deviant behaviors, the current study investigated the relationship among perceived parental monitoring, the Dark Triad, and self-control on online deviant behaviors. A total of 1921 middle and high school students (aged 11–18 years) from China reported their online deviant behaviors (cyberbullying behavior, Internet rumors, deception on the Internet, and cyber obscenity/pornography), perceived parental monitoring, and the Dark Triad as well as the self-control level of individuals. The results of the Pearson correlation showed there were significant correlations among perceived parental monitoring, the Dark Triad, and self-control on online deviant behaviors. The results of the structural equation model (SEM) indicated that the Dark Triad partially mediated the relationship between perceived parental monitoring and online deviant behaviors. Self-control moderated the mediation effect of the Dark Triad. Specifically, self-control weakened the positive relationship between the Dark Triad and online deviant behaviors, and increased the negative relationship between perceived parental monitoring and online deviant behaviors. Our findings expand the applicable environment of the Dark Triad and emphasize its association with online deviant behaviors. Attention should be paid to the interaction of internal traits (e.g., personality and self-control) and explicit family environment (e.g., perceived parental monitoring) in online deviant behavior interventions.
Highlights
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There were significant correlations among perceived parental monitoring, the Dark Triad, self-control, and online deviant behaviors.
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The Dark Triad partially mediated the relationship between perceived parental monitoring and online deviant behaviors.
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Self-control moderated the mediation effect of the Dark Triad.
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Self-control weakened the positive relationship between the Dark Triad and online deviant behaviors, and increased the negative relationship between perceived parental monitoring and online deviant behaviors.
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Allen, J. J., Anderson, C. A., & Bushman, B. J. (2018). The general aggression model. Current Opinion in Psychology, 19, 75–80. https://doi.org/10.1016/j.copsyc.2017.03.034.
Anderson, C. A., & Bushman, B. J. (2002). Human aggression. Annual Review of Psychology, 53(19), 27–51. https://doi.org/10.1146/annurev.psych.53.100901.135231.
Ang, R. P., Tan, K. A., & Talib, M. A. (2010). Normative beliefs about aggression as a mediator of narcissistic exploitativeness and cyberbullying. Journal of Interpersonal Violence, 26(13), 2619–2634. https://doi.org/10.1177/0886260510388286.
Barber, B. K., Olsen, J. E., & Shagle, S. C. (1994). Associations between parental psychological and behavioral control and youth internalized and externalized behaviors. Child Development, 65(4), 1120–1136. https://doi.org/10.2307/1131309.
Baumeister, R. F., Vohs, K. D., & Tice, D. M. (2007). The strength model of self-control. Current Directions in Psychological Science, 16, 351–355. https://doi.org/10.2307/20183234.
Bollen, K. A. (1989). Structural equations with latent variables. Wiley. https://doi.org/10.1002/9781118619179.
Boman, J. H., & Gibon, C. L. (2011). Does the measurement of peer deviance change the relationship between self-control and deviant behavior? An analysis of friendship pairs. Journal of Criminal Justice, 39(6), 521–530. https://doi.org/10.1016/j.jcrimjus.2011.10.001.
Buffardi, L. E., & Campbell, W. K. (2008). Narcissism and social networking web sites. Personality and Social Psychology Bulletin, 34(10), 1303–1314. https://doi.org/10.1177/0146167208320061.
Burke, J. D., Lober, R., Lahey, B. B., & Rathouz, P. J. (2005). Developmental transitions among affective and behavioral disorders in adolescents in adolescent boys. Journal of Child Psychology and Psychiatry, 46, 1200–1210. https://doi.org/10.1111/j.1469-7610.2005.00422.x.
Carpenter, C. (2012). Narcissism on Facebook: self-promotional and anti-social behavior. Personality and Individual Differences, 52(4), 482–486. https://doi.org/10.1016/j.paid.2011.11.011.
Cecil, C. A., Barker, E. D., Jaffee, S. R., & Viding, E. (2012). Association between maladaptive parenting and child self-control over time: Cross-lagged study using a monozygotic twin difference design. The British Journal of Psychiatry, 201(4), 291–297. https://doi.org/10.1192/bjp.bp.111.107581.
China Internet Network Information Center. (2021). The 48th statistical report on China’s Internet development. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202109/P020210915523670981527.pdf.
Chinese Communist Youth League Central Committee, & China Internet Network Information Center. (2021). 2020 Research report on internet use among minors in China. http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/qsnbg/202107/P020210720571098696248.pdf.
De Clercq, B., Hofmans, J., Vergauwe, J., De Fruyt, F., & Sharp, C. (2017). Developmental pathways of childhood dark traits. Journal of Abnormal Psychology, 126(7), 843–858. https://doi.org/10.1037/abn0000303.
DeWall, C. N., & Anderson, C. A. (2011). The general aggression model. In P. R. Shaver & M. Mikulincer (Eds.), Human aggression and violence: causes, manifestations, and consequences (pp. 15–33). American Psychological Association. https://doi.org/10.1037/12346-001.
Ding, Q., Zhang, Y., & Zhou, Z. (2019). The relationship between parents phubbing and high school students’ mobile phone addiction: the moderating effect of parental monitoring. Chinese Journal of Special Education, 1, 66–71.
Ding, Q., Li, D., Zhou, Y., Dong, H., & Luo, J. (2017). Perceived parental monitoring and adolescent Internet addiction: a moderated mediation model. Addictive Behaviors, 74, 48–54. https://doi.org/10.1016/j.addbeh.2017.05.033.
Dvoryanchikov, N. V., Bovina, I. B., Delibalt, V. V., & Dozortseva, E. G. (2020). Deviant online behavior in adolescent and youth circles: in search of a risk assessment model. International Journal of Cognitive Research in Science, Engineering and Education, 8(2), 105–119. https://doi.org/10.5937/IJCRSEE2002105D.
Eksi, F. (2012). Examination of narcissistic personality traits’ predicting level of Internet addiction and cyber bullying through path analysis. Educational Sciences: Theory and Practice, 12(3), 1694–1706. https://files.eric.ed.gov/fulltext/EJ1000892.pdf.
Fergus, S., & Zimmerman, M. A. (2005). Adolescent resilience: a framework for understanding healthy development in the face of risk. Annual Review of Public Health, 26(1), 399–419. https://doi.org/10.1146/annurev.publhealth.26.021304.144357.
Figueredo, A. J., Vásquez, G., Brumbach, B. H., Schneider, S. M., Sefcek, J. A., Tal, I. R., & Jacobs, W. J. (2006). Consilience and life history theory: from genes to brain to reproductive strategy. Developmental Review, 26(2), 243–275. https://doi.org/10.1016/j.dr.2006.02.002.
Flexon, J. L., Meldrum, R. C., Young, J. T. N., & Lehmann, P. S. (2016). Low self-control and the Dark Triad: disentangling the predictive power of personality traits on young adult substance use, offending and victimization. Journal of Criminal Justice, 46, 159–169. https://doi.org/10.1016/j.jcrimjus.2016.05.006.
Fosco, G. M., Stormshak, E. A., Dishion, T. J., & Winter, C. E. (2012). Family relationships and parental monitoring during middle school as predictors of early adolescent problem behavior. Journal of Clinical Child & Adolescent Psychology, 41, 202–213. https://doi.org/10.1080/15374416.2012.651989.
Friese, M., Hofmann, W., & Wänke, M. (2008). When impulses take over: moderated predictive validity of explicit and implicit attitude measures in predicting food choice and consumption behaviour. British Journal of Social Psychology, 47(3), 397–419. https://doi.org/10.1348/014466607X241540.
Geng, Y. G., Sun, Q. B., Huang, J. Y., Zhu, Y. Z., & Han, X. H. (2015). Dirty dozen and short Dark Triad: a Chinese validation of two brief measures of the Dark Triad. Chinese Journal of Clinical Psychology, 23(2), 246–250. https://doi.org/10.16128/j.cnki.1005-3611.2015.02.013.
Gottfredson, M. R., & Hirschi, T. (1990). A general theory of crime. Stanford University Press. https://doi.org/10.2307/1964276.
Jessor, R. (2014). Problem behavior theory: a half-century of research on adolescent behavior and development. In R. M. Lerner, A. C. Petersen, R. K. Silbereisen, & J. Brooks-Gunn (Eds.), The developmental science of adolescence: history through autobiography (pp. 239–256). Psychology Press.
Jessor, R., Donovan, J. E., & Costa, F. M. (1991). Beyond adolescence: problem behavior and young adult development. Cambridge University Press. https://doi.org/10.2307/2074534.
Jin, C. C., & Zou, H. (2013). The relationship between parental monitoring and adolescents’ online deviant behavior: personality as a mediator. Chinese Journal of Special Education, 6, 63–68. https://doi.org/10.3969/j.issn.1007-3728.2013.06.012.
Jin, C. C., Wang, B. C., & Ji, A. T. (2019). The relationship between the Dark Triad and Internet adaptation among adolescents in China: Internet use preference as a mediator. Frontiers in Psychology, 10, 2023 https://doi.org/10.3389/fpsyg.2019.02023.
Jin, C. C. (2013). Social adjustment of juvenile delinquents: the characteristics and factors. Central Compilation & Translation Press.
Jonason, P. K., & Tost, J. (2010). I just cannot control myself: the Dark Triad and self-control. Personality and Individual Differences, 49, 611–615. https://doi.org/10.1016/j.paid.2010.05.031.
Jonason, P. K., Lyons, M., & Bethell, E. (2014). The making of Darth Vader: parent–child care and the Dark Triad. Personality & Individual Differences, 67(6), 30–34. https://doi.org/10.1016/j.paid.2013.10.006.
Jonason, P. K., Kavanagh, P. S., Webster, G. D., & Fitzgerald, D. (2011). Comparing the measured and latent Dark Triad: are three measures better than one? Journal of Methods and Measurement in the Social Sciences, 2(1), 28–44. https://doi.org/10.2458/azu_jmmss.v2i1.12363.
Jonason, P. K., Foster, J. D., Egorova, M. S., Parshikova, O., Csathó, Á., Oshio, A., & Gouveia, V. V. (2017). The dark triad traits from a life history perspective in six countries. Frontiers in Psychology, 8, 1476 https://doi.org/10.3389/fpsyg.2017.01476.
Jones, D. J., Forehand, R., Brody, G., & Armistead, L. (2002). Psychosocial adjustment of African American children in single-mother families: a test of three risk models. Journal of Marriage & Family, 64(1), 105–115. https://doi.org/10.2307/3599780.
Jun, M. H., & Choi, J. A. (2013). The longitudinal effects of parental monitoring and self-control on depression in Korean adolescents: A multivariate latent growth approach. Children and Youth Services Review, 35(9), 1327–1332. https://doi.org/10.1016/j.childyouth.2013.05.004.
Kayis, A. R., Satici, S. A., & Yilmaz, M. F. (2016). Big five-personality trait and Internet addiction: a meta-analytic review. Computers in Human Behavior, 63, 35–40. https://doi.org/10.1016/j.chb.2016.05.012.
Khurana, A., Bleakley, A., Jordan, A. B., & Romer, D. (2015). The protective effects of parental monitoring and internet restriction on adolescents’ risk of online harassment. Journal of Youth and Adolescence, 44(5), 1039–1047. https://doi.org/10.1007/s10964-014-0242-4.
Kim, J. E., & Kim, J. (2015). International note: teen users’ problematic online behavior: using panel data from South Korea. Journal of Adolescence, 40, 48–53. https://doi.org/10.1016/j.adolescence.2015.01.001.
King, R. B., & Gaerlan, M. J. M. (2014). High self-control predicts more positive emotions, better engagement, and higher achievement in school. European Journal of Psychology of Education, 29(1), 81–100. https://doi.org/10.1007/s10212-013-0188-z.
Kowalski, R. M., Giumetti, G. W., Schroeder, A. N., & Lattanner, M. R. (2014). Bullying in the digital age: a critical review and meta-analysis of cyberbullying research among youth. Psychological Bulletin, 140(4), 1073–1137. https://doi.org/10.1037/a0035618.
Kuczynski, L., & Parkin, M. (2006). Agency and bidirectionality in socialization: interactions, transactions, and relational dialectics. In J. E. Grusec & P. Hastings (Eds.), Handbook of socialization (pp. 259–283). Guilford Press.
Kyle, G., Bricker, K., Graefe, A., & Wickham, T. (2004). An examination of recreationists’ relationships with activities and settings. Leisure Sciences, 26, 123–142. https://doi.org/10.1080/01490400490432019.
Lei, L. (2016). Psychology of Internet: the rise of new psychological and behavioral studies. Beijing Normal University Press.
Li, R., Yao, M., Chen, Y., & Liu, H. (2019). Parent autonomy support and psychological control, dark triad, and subjective well-being of Chinese adolescents: synergy of variable- and person-centered approaches. The Journal of Early Adolescence, 40(7), 966–995. https://doi.org/10.1177/0272431619880335.
Li, X., Li, D., & Newman, J. (2013). Parental behavioral and psychological control and problematic internet use among Chinese adolescents: the mediating role of self-control. Cyberpsychology Behavior and Social Networking, 16(6), 442–447. https://doi.org/10.1089/cyber.2012.0293.
Liu, G., Meng, Y., Pan, Y., Ma, Y., & Zhang, D. (2019). Mediating effect of Dark Triad personality traits on the relationship between parental emotional warmth and aggression. Journal of Interpersonal Violence, 886260519877950. Advance online publication. https://doi.org/10.1177/0886260519877950.
Lu, G., Jin, T., Ge, J., Ren, X., Zhang, L., Zhang, Y. & Jiang, Y. (2019). The effect of violent exposure on online aggressive behavior of college students: a moderated mediation model. Psychological Development and Education, 35(3), 360–367. https://doi.org/10.16187/j.cnk.issn1001-4918.2019.03.14.
Luo, F. S., Zhang, S. M., Shen, D., & Luo, K. (2011). College students’ Internet deviant behaviors and personality characteristics and coping styles. Chinese Journal of Clinical Psychology, 19(4), 492–493. https://doi.org/10.16128/j.cnki.1005-3611.2011.04.041.
Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71, 543–562. https://doi.org/10.1111/1467-8624.00164.
Oliva, A., Antolín-Suárez, L., & Rodríguez-Meirinhos, A. (2019). Uncovering the link between self-control, age, and psychological maladjustment among Spanish adolescents and young adults. Psychosocial Intervention, 28(1), 49–55. https://doi.org/10.5093/pi2019a1.
Pabian, S., De Backer, C. J. S., & Vandebosch, H. (2015). Dark Triad personality traits and adolescent cyber-aggression. Personality and Individual Differences, 75, 41–46. https://doi.org/10.1016/j.paid.2014.11.015.
Paschall, K. W., & Mastergeorge, A. M. (2016). A review of 25 years of research in bidirectionality in parent–child relationships: An examination of methodological approaches. International Journal of Behavioral Development, 40(5), 442–451. https://doi.org/10.1177/0165025415607379.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879.
Qin, F., & Xu, F. (2013). Review on the studies of the Dark Triad. Advances in Psychological Science, 21(7), 1248–1261. https://doi.org/10.3724/SP.J.1042.2013.01248.
Repacholi, B., Slaughter, V., Pritchard, M., & Gibbs, V. (2003). Theory of mind, Machiavellianism, and social functioning in childhood. In B. Slaughter & V. Repacholi (Eds.), Individual differences in theory of mind (pp: 67–97). Psychology Press. https://doi.org/10.4324/9780203488508.
Ryan, R. M., & Deci, E. L. (2009). Promoting self-determined school engagement: motivation, learning, and well-being. In K. R. Wenzel & A. Wigfield (Eds.), Handbook of motivation at school (pp. 171–195). Routledge/Taylor & Francis Group. https://doi.org/10.4324/9780203879498.
Stead, R., Fekken, G. C., Kay, A., & Mc Dermott, K. (2012). Conceptualizing the Dark Triad of personality: links to social symptomatology. Personality and Individual Differences, 53(8), 1023–1028. https://doi.org/10.1016/j.paid.2012.07.021.
Tan, S. H., & Guo, Y. Y. (2008). Revision of self-control scale for Chinese college students. Chinese Journal of Clinical Psychology, 16(5), 468–470. https://doi.org/10.16128/j.cnki.1005-3611.2008.05.022.
Udris, R. (2016). Psychological and social factors as predictors of online and offline deviant behavior among Japanese adolescents. Deviant Behavior, 38(7), 792–809. https://doi.org/10.1080/01639625.2016.1197689.
Vazsonyi, A. T., & Huang, L. (2010). Where self-control comes from: on the development of self-control and its relationship to deviance over time. Developmental Psychology, 46(1), 245–257. https://doi.org/10.1037/a0016538.
Yao, M. Z., He, J., & Ko, D. M. (2014). The influence of personality, parental behaviors, and self-esteem on Internet addiction: a study of Chinese college students. Cyberpsychology, Behavior, and Social Networking, 17(2), 104–110. https://doi.org/10.1089/cyber.2012.0710.
Yu, Y. B. (2009). Evaluation of social adjustment of middle school students and their family risk factors and protective factors (Unpublished doctoral dissertation). Beijing Normal University.
Zhang, W., Zou, H., Wang, M., & Finy, M. S. (2015). The role of the Dark Triad traits and two constructs of emotional intelligence on loneliness in adolescents. Personality and Individual Differences, 75, 74–79. https://doi.org/10.1016/j.paid.2014.10.025.
Zhang, W. J., & Zhang, H. (2014). Dark Triad of personality: dual effects and mechanisms. Journal of Beijing Normal University (Social Science), 4, 38–47.
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This research was supported by the Youth Project of Beijing Social Science Funds (Grant No. 20SRC018).
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Jin, C., Wang, B., Ji, A. et al. Perceived Parental Monitoring and Online Deviant Behavior Among Chinese Adolescents: a Moderated Mediation Model. J Child Fam Stud 31, 2825–2836 (2022). https://doi.org/10.1007/s10826-022-02237-w
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DOI: https://doi.org/10.1007/s10826-022-02237-w