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.
Choi et al. (Thu,) studied this question.