How do Traditional Bullying and Cyberbullying Victimization Affect Fear and Coping among Students? An Application of General Strain Theory

Keith, Shelley

doi:10.1007/s12103-017-9411-9

Cited by 37 publications

(24 citation statements)

References 35 publications

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“…Many scholars have identified bullying victimization as a potent source of strain among schoolaged youth that could lead to various forms of deviance (Baker and Pelfrey 2016;Cullen et al 2008;Hinduja and Patchin 2007;Keith 2018;Walters and Espelage 2017). For example, Brady, Baker, and Pelfrey (2019) found that victims of both traditional bullying and cyberbullying were more likely to use drugs and carry a weapon at school.…”

Section: The Relevance Of Agnew's General Strain Theorymentioning

confidence: 99%

Bullying Victimization, Negative Emotions, and Digital Self-Harm: Testing a Theoretical Model of Indirect Effects

et al. 2020

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Research on digital self-harm-the anonymous or pseudonymous posting of hurtful or negative information about oneself on the internet and social media platforms-is in the early stages of development. While scholars have started to focus on the correlates of this behavior, there remains a need to anchor the study of digital self-harm within established theoretical frameworks. Herein, we draw on Agnew's general strain theory to examine whether negative emotions mediate the association between bullying victimization and digital self-harm. Using data collected from adolescents participating in the 2019 Florida Youth Substance Abuse Survey (N = 9,469; M grade level = 8.78; 47% Male; 32% White, non-Hispanic), a strong, positive association between bullying victimization and digital self-harm is observed, as well as an indirect association operating through negative emotions. Discussion centers on the implications of the findings for theory and policy, as well as future directions for research on digital self-harm.

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Section: The Relevance Of Agnew's General Strain Theorymentioning

confidence: 99%

Bullying Victimization, Negative Emotions, and Digital Self-Harm: Testing a Theoretical Model of Indirect Effects

et al. 2020

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“…Fear is an inner-directed emotion because feeling afraid and worried is indicative of being anxious (Mirowsky & Ross, 2017), whereas anger is outer-directed because this study measures it in terms of losing one’s temper (see below), which typically refers to becoming very angry toward other people rather than the self. Fear has not been examined as often as anger in GST research (Agnew, 2006a) until recently (Archer, 2019; Keith, 2018; May et al., 2015; Steele, 2016) but is relevant to deviance, especially, inner-directed, such as self-injury and suicide attempt, which are often intended to temporarily alleviate intense negative emotions, like fear and depression (Klonsky & Muehlenkamp, 2007; Valois et al., 2015). While fear of victimization as well as anger is an anticipated emotional reaction to experienced victimization, it is also expected in response to signs and perceptions of low security in prison (i.e., overcrowding and a lack of trust of correctional officers in securing order in prison), which increases the risk of victimization.…”

Section: The Present Studymentioning

confidence: 99%

Prison Strains, Negative Emotions, and Deviance Among Prisoners in South Korea: A Latent-Variable Modeling Test of General Strain Theory

Jang

2020

Int J Offender Ther Comp Criminol

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This article examines the applicability of general strain theory to correctional samples by testing whether prison strains are positively related to deviance among prisoners through strain-associated negative emotions and whether the negative emotions-deviance relationship is systematic in terms of inner versus outer directedness. Latent-variable structural equation modeling was applied to analyze survey data from 986 male prisoners in South Korea. First, an inmate’s dissatisfaction with correctional officers was found to be positively related to anger and fear of victimization, whereas in-prison victimization was related only to the fear. Second, outer-directed emotion (anger) was positively related to outer-directed deviance (aggressive and property misconduct and anticipated reoffending) but not to inner-directed deviance (self-injury/suicide attempt). On the contrary, inner-directed emotion (fear) was related positively to the inner-directed deviance but inversely to property misconduct. Finally, some of the indirect relationships of victimization and dissatisfaction with deviance via negative emotions were found to be significant.

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“…The second dimension of cyberbullying research explores the effect of cyberbullying victimization on subsequent acts of crime and deviance. This includes violent and aggressive behaviors toward others (Calvete et al, 2010), the tendency to cyberbully others (Chapin & Coleman, 2017), juvenile delinquency (Hay et al, 2010), and bringing a weapon to school (Keith, 2017). This study will add to this second dimension.…”

Section: Literature Reviewmentioning

confidence: 99%

“…This study explains the link between cyberbullying victimization and participation in deviant health risk behaviors by applying general strain theory (GST). GST has been applied frequently to explain the link between cyberbullying and deviant behavior (Agnew, 2001; Hay et al, 2010; Jang, Song, & Kim, 2014; Keith, 2017; Patchin & Hinduja, 2011). The foundational proposition underpinning GST is that the presence of unwanted or noxious stimuli, called strains, produces negative emotions that can lead to deviant behavior.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Although cyberbullying victimization is a relatively new phenomenon, scholars have identified several adverse consequences. Scholars have linked cyberbullying victimization to school avoidance (Payne & Hutzell, 2015), low self-esteem (Palermiti, Servidio, Bartolo, & Costabile, 2017; Patchin & Hinduja, 2010), feelings of fear and powerlessness (Hoff & Mitchell, 2009), aggressive behaviors toward others (Calvete, Orue, Estévez, Villardón, & Padilla, 2010), juvenile delinquency (Hay, Meldrum, & Mann, 2010), bringing a weapon to school (Keith, 2017), and adverse psychological outcomes (Aboujaoude, Savage, Starcevic, & Salame, 2015; Kowalski & Limber, 2013).…”

Section: Introductionmentioning

confidence: 99%

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“Safe” and “At-Risk”: Cyberbullying Victimization and Deviant Health Risk Behaviors in Youth

Wood

Graham

2018

Youth & Society

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This study explores the links between cyberbullying victimization and a set of health risk behaviors associated with juvenile delinquency (cigarette smoking, marijuana usage, alcohol usage, and sexual frequency). These links are examined with data from the 2015 Youth Risk Behavior Survey ( n = 9,122). Using cluster analysis, respondents are categorized into two groups: “safe” students who report on average no engagement in the behaviors measured, and “at-risk” students who report on average moderate to high levels of engagement in sexual frequency, marijuana usage, and alcohol usage. Findings suggest that cyberbullying victimization increases the odds of a student being categorized into the “at-risk” cluster. This effect holds controlling for physical bullying, a proxy measure of self-control, and demographic variables.

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How do Traditional Bullying and Cyberbullying Victimization Affect Fear and Coping among Students? An Application of General Strain Theory

Cited by 37 publications

References 35 publications

Bullying Victimization, Negative Emotions, and Digital Self-Harm: Testing a Theoretical Model of Indirect Effects

Bullying Victimization, Negative Emotions, and Digital Self-Harm: Testing a Theoretical Model of Indirect Effects

Prison Strains, Negative Emotions, and Deviance Among Prisoners in South Korea: A Latent-Variable Modeling Test of General Strain Theory

“Safe” and “At-Risk”: Cyberbullying Victimization and Deviant Health Risk Behaviors in Youth

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