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When Risk Factors Compete: A Machine Learning Approach to Identifying Antecedents of Adolescent Delinquency Across Domains, Development, and Gender
Risk factors for adolescent delinquency have been identified at multiple levels, from individual dispositions through family and school processes to ecological context, yet their relative importance remains unestablished. Which factors carry greatest weight, and when, has not been tested in simultan
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