Individual Stress, Contextual Stress, and Network Attributes on Cyberbullying Perpetration Among Young Adults During the COVID-19 Lockdown

Ma, Zhihao; Liu, Tzu-Hsuan; Xia, Yiwei

doi:10.1080/01639625.2023.2271117

Cited by 2 publications

(1 citation statement)

References 81 publications

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“…In the literature concerning school dropout and its influence on engaging in deviant behaviour, it is noted that, to the best of the researcher’s knowledge, there is a lack of studies conducted in this area in India. However, ample research has been conducted on adolescent and youth deviant behaviour worldwide (see Akers and Cochran, 1985; Chen et al , 2021; Huang et al , 2023; Ma et al , 2023). A study by Damron-Bell (2011) showed that gender, ethnicity and age were all significant predictors of engaging in risky behaviour, with males engaging in such behaviour more frequently than females, whites engaging in such behaviour more frequently than racial and ethnic minorities and older students engaging in such behaviour more frequently than younger students.…”

Section: Review Of Literaturementioning

confidence: 99%

The ripple effect of school dropout: exploring the nexus between school dropout, deviance, and subsequent arrest amongst children in India

Senthivel,

Madurai,

Valan

et al. 2024

JCRPP

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Purpose This paper aims to measure the prevalence of deviant behaviour among children who have dropped out of school and their subsequent arrests by the criminal justice system. The paper further analyses the relationship between the factors attributed to deviant behaviour and the subsequent arrests by the criminal justice system. Design/methodology/approach Using a semi-structured interview schedule, data was collected from 330 children who had already dropped out of school, remained on the streets or worked. The interviews took place in the presence of either of the children’s parents, with their consent. Findings The research identified 12 significant factors contributing to children dropping out of school. It also found six factors responsible for deviant behaviour. Furthermore, the study revealed that about 70% of the respondents were involved in one or more deviant behaviours. Among them, 51% had been detained by the Police in the past two years. Additionally, the linear regression model results positively predict the nexus among the six factors responsible for deviant behaviour. Research limitations/implications The study is limited to male children who had dropped out of school, as female children were excluded. In connection with measuring deviant behaviour, it was challenging to discern whether it occurred before students left school, after or both. Practical implications The study suggests several measures, including policies such as early intervention programmes, providing quality education, mentoring and counselling for students and parents, vocational education opportunities, creating drug-free environments, career guidance, peer mentoring, community engagement, substance abuse prevention and rehabilitation programmes, to prevent school dropout and subsequent deviant behaviour. Originality/value To the best of the authors’ knowledge, this study is unique to India. The moderation regression model represents an exceptional finding. This study constitutes another addition to the field of child welfare while also indicating scope for future research.

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