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Criminologists have long emphasized the importance of a developmental perspective in understanding crime and deviance, focusing on identifying patterns of change and continuity. Nonetheless, limited research has examined the heterogeneity in developmental patterns of cyber deviance and the relevance of adolescent-specific strain for predicting trajectory group assignment. This study used group-based trajectory modeling to investigate developmental heterogeneity in cyber deviance during adolescence, followed by multinomial logistic regressions to explore the relationship between strain and trajectory group assignment. A four-group developmental model emerged as the best fit for the data, with strain variables identified as useful predictors of trajectory groups characterized by high levels of cyber deviance. To mitigate adolescent cyber deviance, programs should target stressors like appearance-related strains and delinquent peer influence while promoting positive attitudes toward Internet use and responsible online behaviors, particularly among high-risk groups.