Do Adolescent-Specific Strains Explain Developmental Trajectories of Cyber Deviance
Bibliographic Data
| ID | 21309248 |
|---|---|
| Authors | Jaeyong Choi (0000-0001-5882-3702, West Chester University, West Chester, PA, USA), Ko-Hsin Hsu (Kutztown University of Pennsylvania, Kutztown, PA, USA), Julak Lee (0000-0002-1798-8671, Chung-Ang University, Seoul, South Korea, corresponding author) |
| Year | 2026 |
| Publication date | 2026-01-15 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Crime & Delinquency (JOURNAL) |
| Journal identifiers | ISSN: 0011-1287 • E-ISSN: 1552-387X |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/00111287251408699 |
| OpenAlex | W7124484341 |
| Language | EN |
| References cited | 59 |
This study aims to investigate developmental heterogeneity in cyber deviance during adolescence and the role of adolescent-specific strains in predicting trajectory group assignment. Using longitudinal data from over 3,000 eighth-grade students across 5 years, group-based trajectory modeling identified distinct developmental patterns of cyber deviance. Multinomial logistic regression models were employed to examine the relationship between strain variables and trajectory group membership. A four-group developmental model was the most optimal fit for the data. Strain variables, including appearance-related stressors and delinquent peer influence, significantly predicted trajectory groups with higher cyber deviance levels. Interventions aiming to mitigate adolescent cyber deviance should address stressors such as appearance-related strains and delinquent peer influence, and promote responsible online behavior, particularly among high-risk groups
Deviance (statistics) · General strain theory · Logistic regression · Longitudinal data · Multinomial logistic regression · Psychological intervention · Stressor · Trajectory · Bullying, Victimization, and Aggression · Crime Patterns and Interventions · Impact of Technology on Adolescents
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| Highly cited | No |
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