Exploring the role of self-control across distinct patterns of cyber-deviance in emerging adolescence
A disproportionally large number of adolescents engage in cyber-deviance. However, it is unclear if distinct patterns of adolescent cyber-deviance are evident, and if so, whether and to what extent low self-control is associated with different patterns of cyber-deviance. The current study addressed...
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| Otros Autores: | ; ; ; ; |
| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2024
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| En: |
International journal of offender therapy and comparative criminology
Año: 2024, Páginas: 1-20 |
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Volltext (kostenfrei) Volltext (kostenfrei) |
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MARC
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| 245 | 1 | 0 | |a Exploring the role of self-control across distinct patterns of cyber-deviance in emerging adolescence |c Tyson Whitten, Jesse Cale, Russell Brewer, Katie Logos, Thomas J. Holt, and Andrew Goldsmith |
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| 520 | |a A disproportionally large number of adolescents engage in cyber-deviance. However, it is unclear if distinct patterns of adolescent cyber-deviance are evident, and if so, whether and to what extent low self-control is associated with different patterns of cyber-deviance. The current study addressed this research gap by examining the relationship between self-control and distinct latent classes of adolescent cyber-deviance net of potential confounders among a cross-sectional sample of 1793 South Australian adolescents. Four latent classes were identified, each characterized by varying probabilities of involvement in six types of cyber-deviance that were measured. The versatile class (n = 413) had the lowest average level of self-control, followed by the harmful content users (n = 439) and digital piracy (n = 356) classes, with the abstainer class (n = 585) characterized by the highest self-control. Analysis of covariance indicated that the abstainer group had significantly higher self-control than other classes of cyber-deviance. Although the versatile class had noticeably lower average self-control scores than the harmful content users and digital piracy groups, this difference was not significant after correcting for multiple comparisons. Collectively, these findings suggest that self-control appears to distinguish between those who do and do not engage in cyber-deviance but may not distinguish between distinct patterns of cyber-deviance net of other factors. | ||
| 650 | 4 | |a Self-control | |
| 650 | 4 | |a adolescent cyber-deviance | |
| 650 | 4 | |a Latent Class Analysis | |
| 650 | 4 | |a General theory of crime | |
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