How Is Virtuous Personality Trait Related to Online Deviant Behavior among Adolescent College Students in the Internet Environment? A Moderated Moderated-Mediation Analysis
Abstract
:1. Introduction
1.1. Virtuous Personality Trait and Online Deviant Behavior
1.2. Moral Disengagement as a Mediator
1.3. Perspective Taking as a Moderator
1.4. Gender as a Moderator
1.5. The Present Study
2. Method
2.1. Participants
2.2. Measures
2.2.1. Virtuous Personality Trait
2.2.2. Moral Disengagement
2.2.3. Perspective Taking
2.2.4. Online Deviant Behavior
2.3. Procedure
2.4. Statistical Analysis
3. Results
3.1. Common Method Deviation Test
3.2. Descriptive Analyses
3.3. Testing for the Mediating Role of Moral Disengagement
3.4. Testing for the Moderated-Mediation Model
3.5. Testing for the Moderated Moderated-Mediation Model
4. Discussion
4.1. Relationship between Virtuous Personality Trait and Online Deviant Behavior
4.2. Mediating Role of Moral Disengagement
4.3. Moderating Role of Perspective Taking and Gender
4.4. Implications for Theory and Practice
4.5. Limitations and Future Directions
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- CNNIC. The 49th Statistical Report on China’s Internet Development. 2022. Available online: http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/202202/P020220407403488048001.pdf (accessed on 15 March 2022).
- Holt, T.J.; Bossler, A.M. An assessment of the current state of cybercrime scholarship. Deviant Behav. 2014, 35, 20–40. [Google Scholar] [CrossRef]
- Kim, S.; Han, Y. Associations between parental maltreatment and online behavior among young adolescents. J. Child Fam. Stud. 2021, 30, 2782–2791. [Google Scholar] [CrossRef]
- Udris, R. Psychological and social factors as predictors of online and offline deviant behavior among Japanese adolescents. Deviant Behav. 2017, 38, 792–809. [Google Scholar] [CrossRef]
- Yang, J.P.; Wang, N.; Gao, L.; Wang, X.C. Deviant peer affiliation and adolescents’ cyberbullying perpetration: Online disinhibition and perceived social support as moderators. Child. Youth Serv. Rev. 2021, 127, 106066. [Google Scholar] [CrossRef]
- Jin, C.C.; Wang, B.C.; Ji, A.T.; Zhao, B.B. Perceived parental monitoring and online deviant behavior among Chinese adolescents: A moderated mediation model. J. Child Fam. Stud. 2022, 1, 1–12. [Google Scholar] [CrossRef]
- Ma, X.H.; Lei, L. Adolescents’ Internet morality and deviant behavior online. Acta Psychol. Sin. 2010, 42, 988–997. [Google Scholar]
- Palmieri, M.; Shortland, N.; McGarry, P. Personality and online deviance: The role of reinforcement sensitivity theory in cybercrime. Comput. Hum. Behav. 2021, 120, 106745. [Google Scholar] [CrossRef]
- Holt, T.J.; Strumsky, D.; Smirnova, O.; Kilger, M. Examining the social networks of malware writers and hackers. Int. J. Cyber Criminol. 2012, 6, 891–903. [Google Scholar]
- Dvoryanchikov, N.; Dozortseva, E.; Delibalt, V.; Natalia, B.; Bovina, I. Deviant online behavior in adolescent and youth circles: In search of a risk assessment model. Int. J. Cogn. Res. Sci. Eng. Educ. 2020, 8, 105–119. [Google Scholar] [CrossRef]
- Joinson, A.N. Deviance and the internet: New challenges for social science. Soc. Sci. Comput. Rev. 2005, 23, 5–7. [Google Scholar] [CrossRef]
- Chen, J.K.; Chang, C.W.; Wang, Z.Y.; Wang, L.C.; Wei, H.S. Cyber deviance among adolescents in Taiwan: Prevalence and correlates. Child. Youth Serv. Rev. 2021, 126, 106042. [Google Scholar] [CrossRef]
- Wang, H.X.; Wang, X.C.; Geng, J.Y.; Zeng, P.; Gu, X.; Lei, L. Does peer alienation accelerate cyber deviant behaviors of adolescents? The mediating role of core self-evaluation and the moderating role of parent-child relationship and gender. Curr. Psychol. 2021, 2, 1–14. [Google Scholar] [CrossRef]
- Kokkinos, C.M.; Antoniadou, N.; Asdre, A.; Voulgaridou, K. Parenting and Internet behavior predictors of cyber-bullying and cyber-victimization among preadolescents. Deviant Behav. 2016, 37, 439–455. [Google Scholar] [CrossRef]
- Jessor, R. Problem behavior theory: A half century of research on adolescent behavior and development. In The Developmental Science of Adolescence: History Through Autobiography; Lerner, R.M., Petersen, A.C., Silbereisen, R.K., Brooks-Gunn, J., Eds.; Psychology Press: London, UK, 2014. [Google Scholar]
- Moor, L.; Anderson, J.R. A systematic literature review of the relationship between dark personality traits and antisocial online behaviours. Personal. Individ. Differ. 2019, 144, 40–55. [Google Scholar] [CrossRef]
- Kayiş, A.R.; Satici, S.A.; Yilmaz, M.F.; Şimşek, D.; Ceyhan, E.; Bakioğlu, F. Big five-personality trait and internet addiction: A meta-analytic review. Comput. Hum. Behav. 2016, 63, 35–40. [Google Scholar] [CrossRef]
- Lerner, R.M.; Lerner, J.V.; Lewin-Bizan, S.; Bowers, E.P.; Boyd, M.J.; Mueller, M.K.; Schmid, K.L.; Napolitano, C.M. Positive youth development: Processes, programs, and problematics. J. Youth Dev. 2011, 6, 38–62. [Google Scholar] [CrossRef] [Green Version]
- Lerner, R.M.; Lerner, J.V.; Almerigi, J.B.; Theokas, C.; Phelps, E.; Gestsdottir, S.; Naudeau, S.; Jelicic, H.; Alberts, A.; Ma, L.; et al. Positive youth development, participation in community youth development programs, and community contributions of fifth-grade adolescents: Findings from the first wave of the 4-H study of positive youth development. J. Early Adolesc. 2005, 25, 17–71. [Google Scholar] [CrossRef]
- Lerner, J.V.; Phelps, E.; Forman, Y.; Bowers, E.P. Positive Youth Development; John Wiley & Sons Inc.: Hoboken, NJ, USA, 2009. [Google Scholar]
- Zhang, H.Y.; Zhao, H.H.; Xu, Y. The structure of Chinese virtuous personality and questionnaire development. Psychol. Explor. 2018, 38, 221–227. [Google Scholar]
- Jiao, L.Y.; Yang, Y.; Guo, Z.; Xu, Y.; Zhang, H.Y.; Jiang, J. Development and validation of the good and evil character traits (GECT) scale. Scand. J. Psychol. 2021, 62, 276–287. [Google Scholar] [CrossRef] [PubMed]
- Wang, D.F.; Cui, H. Jiedu Zhongguoren de Renge. [Explorations of Chinese Personality]; Social Sciences Academic Press: Beijing, China, 2005. [Google Scholar]
- Killer, B.; Bussey, K.; Hawes, D.J.; Hunt, C. A meta-analysis of the relationship between moral disengagement and bullying roles in youth. Aggress. Behav. 2019, 45, 450–462. [Google Scholar] [CrossRef]
- Yang, J.P.; Wang, X.C.; Yang, L. The impact of perspective taking on online deviant behaviors: The mediating effect of moral disengagement. J. Psychol. Sci. 2014, 37, 633–638. [Google Scholar]
- Romera, E.M.; Ortega-Ruiz, R.; Runions, K.; Falla, D. Moral disengagement strategies in online and offline bullying. Psychosoc. Interv. 2021, 30, 85–93. [Google Scholar] [CrossRef]
- Bandura, A. Moral disengagement in the perpetration of inhumanities. Personal. Soc. Psychol. Rev. 1999, 3, 193–209. [Google Scholar] [CrossRef] [PubMed]
- Moore, C. Moral disengagement. Curr. Opin. Psychol. 2015, 6, 199–204. [Google Scholar] [CrossRef]
- Ogunfowora, B.; Bourdage, J.S. Does Honesty–Humility influence evaluations of leadership emergence? The mediating role of moral disengagement. Personal. Individ. Differ. 2014, 56, 95–99. [Google Scholar] [CrossRef]
- Rengifo, M.; Laham, S.M. Big Five personality predictors of moral disengagement: A comprehensive aspect-level approach. Personal. Individ. Differ. 2022, 184, 111176. [Google Scholar] [CrossRef]
- Jolliffe, D.; Farrington, D.P. Examining the relationship between low empathy and bullying. Aggress. Behav. 2006, 32, 540–550. [Google Scholar] [CrossRef]
- Feshbach, N.D.; Feshbach, S. Empathy training and the regulation of aggression: Potentialities and limitations. Acad. Psychol. Bull. 1982, 4, 399–413. [Google Scholar]
- Wang, X.C.; Qiao, Y.R.; Li, W.Q.; Dong, W.H. How is online disinhibition related to adolescents’ cyberbullying perpetration? Empathy and gender as moderators. J. Early Adolesc. 2022, 42, 704–732. [Google Scholar] [CrossRef]
- Fang, J.; Wang, X.H.; Yuan, K.H.; Wen, Z.L.; Yu, X.X.; Zhang, G.H. Callous-Unemotional traits and cyberbullying perpetration: The mediating role of moral disengagement and the moderating role of empathy. Personal. Individ. Differ. 2020, 157, 109829. [Google Scholar] [CrossRef]
- Wright, M.F.; Wachs, S. Does empathy and toxic online disinhibition moderate the longitudinal association between witnessing and perpetrating homophobic cyberbullying? Int. J. Bullying Prev. 2021, 3, 66–74. [Google Scholar] [CrossRef] [Green Version]
- Decety, J.; Michalska, K.J.; Kinzler, K.D. The developmental neuroscience of moral sensitivity. Emot. Rev. 2011, 3, 305–307. [Google Scholar] [CrossRef] [Green Version]
- Wu, W.Q.; Su, Y.Z.; Huang, X.; Liu, W.Y.; Jiang, X. The dark triad, moral disengagement, and social entrepreneurial intention: Moderating roles of empathic concern and perspective taking. Front. Psychol. 2020, 11, 1520. [Google Scholar] [CrossRef] [PubMed]
- Moore, C.; Detert, J.R.; Treviño, L.K.; Baker, V.L.; Mayer, D.M. Why employees do bad things: Moral disengagement and unethical organizational behavior. Pers. Psychol. 2012, 65, 1–48. [Google Scholar] [CrossRef] [Green Version]
- Buss, D.M. Evolutionary psychology: The New Science of the Mind, 6th ed.; Routledge: New York, NY, USA, 2019. [Google Scholar]
- Furnham, A.; Cheng, H. Early indicators of adult trait Agreeableness. Personal. Individ. Differ. 2015, 73, 67–71. [Google Scholar] [CrossRef]
- Costa, P.T.J.; Terracciano, A.; Mccrae, R.R. Gender differences in personality traits across cultures: Robust and surprising findings. J. Personal. Soc. Psychol. 2001, 81, 322–331. [Google Scholar] [CrossRef]
- Weisberg, Y.; DeYoung, C.; Hirsh, J. Gender differences in personality across the ten aspects of the big five. Front. Psychol. 2011, 2, 178. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Portman, T.; Bartlett, J.R.; Carlson, L.A. Relational theory and intergenerational connectedness: A qualitative study. Adultspan J. 2010, 9, 88–102. [Google Scholar] [CrossRef]
- Ang, R.P.; Goh, D.H. Cyberbullying among adolescents: The role of affective and cognitive empathy, and gender. Child Psychiatry Hum. Dev. 2010, 41, 387–397. [Google Scholar] [CrossRef] [PubMed]
- Wang, X.C.; Yang, J.P. Reliability and validity of moral disengagement scale in Chinese students. Chin. J. Clin. Psychol. 2010, 18, 177–179. [Google Scholar]
- Bandura, A.; Barbaranelli, C.; Caprara, G.V.; Pastorelli, C. Mechanisms of moral disengagement in the exercise of moral agency. J. Personal. Soc. Psychol. 1996, 71, 364–374. [Google Scholar] [CrossRef]
- Davis, M.H. Measuring individual differences in empathy: Evidence for a multidimensional approach. J. Personal. Soc. Psychol. 1983, 44, 113–126. [Google Scholar] [CrossRef]
- Li, D.M. An Empirical and Theoretical Research on Adolescents’ Online Deviant Behaviors; Capital Normal University: Beijing, China, 2008. [Google Scholar]
- Hayes, A.F. Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach; Guilford Press: New York, NY, USA, 2013. [Google Scholar]
- Podsakoff, P.M.; MacKenzie, S.B.; Lee, J.-Y.; Podsakoff, N.P. Common method biases in behavioral research: A critical review of the literature and recommended remedies. J. Appl. Psychol. 2003, 88, 879–903. [Google Scholar] [CrossRef] [PubMed]
- Hancock, G.R.; Mueller, R.O.; Stapleton, L.M. The Reviewer’s Guide to Quantitative Methods in the Social Sciences; Routledge: New York, NY, USA, 2010. [Google Scholar]
- Muller, D.; Judd, C.M.; Yzerbyt, V.Y. When moderation is mediated and mediation is moderated. J. Personal. Soc. Psychol. 2005, 89, 852–863. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Hayes, A.F. Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Commun. Monogr. 2018, 85, 4–40. [Google Scholar] [CrossRef]
- Zhang, H.Y.; Xu, Y.; Zhao, H.H. The relationship between virtuous personality and internet altruistic behavior: A moderated mediation analysis. J. Psychol. Sci. 2021, 44, 619–625. [Google Scholar]
- Gao, L.; Liu, J.D.; Wang, W.; Yang, J.P.; Wang, P.C.; Wang, X.C. Moral disengagement and adolescents’ cyberbullying perpetration: Student-student relationship and gender as moderators. Child. Youth Serv. Rev. 2020, 116, 105119. [Google Scholar] [CrossRef]
- Gómez-Leal, R.; Megias-Robles, A.; Gutierrez-Cobo, M.J.; Cabello, R.; Fernandez-Berrocal, P. Personal risk and protective factors involved in aggressive behavior. J. Interpers. Violence 2022, 37, 1489–1515. [Google Scholar] [CrossRef] [PubMed]
- Hollister-Wagner, G.H.; Foshee, V.A.; Jackson, C. Adolescent aggression: Models of resiliency. J. Appl. Soc. Psychol. 2001, 31, 445–466. [Google Scholar] [CrossRef]
- Yu, M.; Xu, Y.; Ye, Y.H.; Zhang, H.Y.; Zhao, H.H.; Gao, H.M. Personality variability: The study of personality change from the perspective of individuals. Chin. J. Spec. Educ. 2020, 2, 83–90. [Google Scholar]
- Xu, Y. Personality Psychology; China Renmin University Press: Beijing, China, 2017. [Google Scholar]
- Malti, T. Kindness: A perspective from developmental psychology. Eur. J. Dev. Psychol. 2021, 18, 629–657. [Google Scholar] [CrossRef]
Variables | M | SD | Skewness | Kurtosis | 1 | 2 | 3 | 4 | 5 |
---|---|---|---|---|---|---|---|---|---|
1. Gender | 0.69 | 0.46 | −0.80 | −1.36 | 1.00 | ||||
2. Virtuous personality trait (VPT) | 130.31 | 15.87 | −0.12 | 0.16 | 0.12 | 1.00 | |||
3. Moral disengagement (MD) | 53.02 | 12.18 | 0.60 | 0.84 | −0.18 *** | −0.24 *** | 1.00 | ||
4. Perspective taking (PT) | 18.00 | 3.19 | −0.25 | 0.10 | −0.08 * | 0.30 *** | −0.11 ** | 1.00 | |
5. Online deviant behavior (ODB) | 57.85 | 16.33 | 1.40 | 2.44 | −0.25 *** | −0.26 *** | 0.45 *** | −0.05 | 1.00 |
Variables | Model 1 (ODB) | Model 2 (MD) | Model 3 (ODB) | |||
---|---|---|---|---|---|---|
β | t | β | t | β | t | |
Age | 0.03 | 0.76 | −0.02 | −0.40 | 0.04 | 1.02 |
Grade | 0.03 | 0.67 | 0.02 | 0.45 | 0.02 | 0.53 |
VPT | −0.27 | −7.99 *** | −0.23 | −7.00 *** | −0.17 | −5.43 *** |
MD | 0.41 | 13.24 *** | ||||
R2 | 0.07 | 0.06 | 0.23 | |||
F | 21.67 *** | 16.54 *** | 63.40 *** |
Variables | Model 1 (MD) | Model 2 (AODB) | ||||
---|---|---|---|---|---|---|
β | t | 95% CI | β | t | 95% CI | |
Age | −0.01 | −0.35 | [−0.09, 0.06] | 0.04 | 1.02 | [−0.03, 0.11] |
Grade | 0.01 | 0.34 | [−0.06, 0.09] | 0.02 | 0.53 | [−0.05, 0.09] |
VPT | −0.21 | −6.09 *** | [−0.28, −0.14] | −0.17 | −5.43 *** | [−0.23, −0.11] |
PT | −0.05 | −1.40 | [−0.12, 0.02] | - | - | - |
VPT × PT | −0.09 | −2.93 ** | [−0.14, −0.03] | - | - | - |
MD | - | - | - | 0.41 | 13.24 *** | [0.35, 0.47] |
R2 | 0.07 | 0.23 | ||||
F | 12.12 *** | 63.40 *** | ||||
Index of moderated-mediation | ||||||
Index | Boot SE | Boot LLCI | Boot ULCI | |||
−0.04 | 0.01 | −0.06 | −0.02 |
Variables | Model 1 (MD) | Model 2 (AODB) | ||||
---|---|---|---|---|---|---|
β | t | 95% CI | β | t | 95% CI | |
Age | −0.02 | −0.51 | [−0.10, 0.06] | 0.04 | 1.02 | [−0.03, 0.11] |
Grade | 0.01 | 0.38 | [−0.06, 0.09] | 0.02 | 0.53 | [−0.05, 0.09] |
VPT | −0.20 | −5.80 *** | [−0.27, −0.13] | −0.17 | −5.43 *** | [−0.23, −0.11] |
PT | −0.06 | −1.81 | [−0.13, 0.01] | - | - | - |
Gender | −0.21 | −6.21 *** | [−0.28, −0.14] | - | - | - |
VPT × PT | −0.09 | −3.09 ** | [−0.15, −0.03] | - | - | - |
VPT × Gender | −0.08 | −2.18 * | [−0.14, −0.01] | - | - | - |
PT × Gender | 0.07 | 2.20 * | [0.01, 0.14] | - | - | - |
VPT × PT × Gender | 0.06 | 2.17 * | [0.01, 0.12] | - | - | - |
MD | - | - | - | 0.41 | 13.24 *** | [0.35, 0.47] |
R2 | 0.11 | 0.23 | ||||
F | 11.92 *** | 63.40 *** | ||||
Conditional effects of the VPT at values of the moderators | ||||||
PT | Gender | Conditional effect | SE | t | LLCI | ULCI |
Low | Men | 0.09 | 0.09 | 1.08 | −0.08 | 0.27 |
Low | Women | −0.20 | 0.05 | −3.74 *** | −0.31 | −0.10 |
High | Men | −0.27 | 0.07 | −3.66 *** | −0.41 | −0.13 |
High | Women | −0.30 | 0.05 | −5.56 *** | −0.40 | −0.19 |
Perspective Taking | Gender | Effect | Boot SE | Boot LLCI | Boot ULCI |
---|---|---|---|---|---|
Low | Men | 0.04 | 0.04 | −0.04 | 0.11 |
Low | Women | −0.08 | 0.02 | −0.13 | −0.04 |
Medium | Men | −0.04 | 0.03 | −0.09 | 0.02 |
Medium | Women | −0.10 | 0.02 | −0.14 | −0.07 |
High | Men | −0.11 | 0.03 | −0.18 | −0.05 |
High | Women | −0.12 | 0.02 | −0.17 | −0.08 |
Indices of conditional moderated mediation by perspective taking | |||||
Gender | Index | Boot SE | Boot LLCI | Boot ULCI | |
Men | −0.07 | 0.02 | −0.12 | −0.03 | |
Women | −0.02 | 0.01 | −0.04 | 0.003 |
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Zhang, H.; Zhao, H. How Is Virtuous Personality Trait Related to Online Deviant Behavior among Adolescent College Students in the Internet Environment? A Moderated Moderated-Mediation Analysis. Int. J. Environ. Res. Public Health 2022, 19, 9528. https://doi.org/10.3390/ijerph19159528
Zhang H, Zhao H. How Is Virtuous Personality Trait Related to Online Deviant Behavior among Adolescent College Students in the Internet Environment? A Moderated Moderated-Mediation Analysis. International Journal of Environmental Research and Public Health. 2022; 19(15):9528. https://doi.org/10.3390/ijerph19159528
Chicago/Turabian StyleZhang, Heyun, and Huanhuan Zhao. 2022. "How Is Virtuous Personality Trait Related to Online Deviant Behavior among Adolescent College Students in the Internet Environment? A Moderated Moderated-Mediation Analysis" International Journal of Environmental Research and Public Health 19, no. 15: 9528. https://doi.org/10.3390/ijerph19159528