2015
DOI: 10.1080/01639625.2014.1004023
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Examining the Mediating Effects of Social Learning on the Low Self-Control—Cyberbullying Relationship in a Youth Sample

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Cited by 65 publications
(47 citation statements)
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“…Personal propensities have also been considered one of the important predictors for OBP. In terms of morality, for instance, prior research found that moral disengagement was positively associated with OBP (Bussey, Fitzpatrick, & Raman, 2015; Menesini, Nocentini, & Camodeca, 2013; Robson & Witenberg, 2013), while moral emotions and values were negatively related to OBP (Li, Holt, Bossler, & May, 2016; Perren & Gutzwiller-Helfenfinger, 2012). In addition, it is also suggested that moral identity could buffer effects of trait anger on cyberbullying (Wang, Yang, Yang, Wang, & Lei, 2017).…”
Section: Motivations and Propensities For Obpmentioning
confidence: 99%
See 1 more Smart Citation
“…Personal propensities have also been considered one of the important predictors for OBP. In terms of morality, for instance, prior research found that moral disengagement was positively associated with OBP (Bussey, Fitzpatrick, & Raman, 2015; Menesini, Nocentini, & Camodeca, 2013; Robson & Witenberg, 2013), while moral emotions and values were negatively related to OBP (Li, Holt, Bossler, & May, 2016; Perren & Gutzwiller-Helfenfinger, 2012). In addition, it is also suggested that moral identity could buffer effects of trait anger on cyberbullying (Wang, Yang, Yang, Wang, & Lei, 2017).…”
Section: Motivations and Propensities For Obpmentioning
confidence: 99%
“…For self-control, literature shows that low self-control is consistently associated with cyberbullying or online harassment (Donner, Marcum, Jennings, Higgins, & Banfield, 2014; Holt, Bossler, & May, 2012; Li et al, 2016; Lianos & McGrath, 2018; Marcum et al, 2014; Vazsonyi, Machackova, Sevcikova, Smahel, & Cerna, 2012). Kim, Song, and Jennings (2017) also found that low self-control was one of the significant predictors for cyberbullying over time among South Korean juveniles.…”
Section: Motivations and Propensities For Obpmentioning
confidence: 99%
“…Running head: School-bullying and Cyber-bullying effects of low self-control behaviour; such as for perpetration low self-control shows a moderate effect on offline bullying perpetration, which is linked to CB perpetration, but for victimisation the effect appears weaker. Likewise, Marcum, Higgins, Freiburger and Ricketts (2014) concluded that both males and females with lower levels of self-control are more likely to participate in CB by posting hurtful messages or pictures to Facebook, implying that low self-control is a significant predictor for CB perpetration (Li, Holt, Bossler & May, 2016;You & Lim, 2016).…”
Section: Have Demonstrated Indirectmentioning
confidence: 99%
“…Despite the differences between these theories, both have received substantial empirical support to account for various forms of delinquency (Pratt & Cullen, 2000; Pratt et al, 2010; Vazsonyi, Mikuška, & Kelley, 2017), and cybercrimes, or offenses performed through Internet-connected devices (Holt, Bossler, & May, 2012; Holt, Burruss, & Bossler, 2010; Li, Holt, Bossler, & May, 2016; Marcum, Higgins, & Nicholson, 2017; Marcum, Higgins, Ricketts, & Wolfe, 2014). These studies also demonstrate that both self-control and deviant peer associations must be present in theoretical models to fully account for their dynamic relationships (Holt et al, 2012; Li et al, 2016; Marcum et al, 2017; Pratt & Cullen, 2000). At the same time, offenses enabled by technology present a unique challenge to our understanding of the general theory of crime, as the ubiquity of technology and access to information make opportunities to offend constant (Holt & Bossler, 2016).…”
mentioning
confidence: 99%