Criminological inquiry has identified a range of risk factors associated with juvenile delinquency. However, little research has assessed juvenile computer hacking, despite the substantial harm and opportunities for delinquent behavior online. Therefore, understanding the applicability of criminological risk factors among a cross-national sample of juvenile hackers is important from a theoretical and applied standpoint. This study aimed to address this gap using a logistic regression and latent class analysis (LCA) of risk factors associated with self-reported hacking behavior in a sample of more than 60,000 juveniles from around the globe. Results demonstrated support for individual- and structural-level predictors of delinquency, although distinct risk factors for hacking among three subtypes are identified in the LCA. This study examines criminological risk factors for juvenile hacking in a cross-national sample and provides insight into the distinct risk factors of hacking, so more tailored prevention and treatment modalities can be developed.

犯罪学调查已经确定了与青少年犯罪相关的一系列风险因素。然而，尽管有大量危害和在线犯罪行为的机会，但很少有研究评估青少年计算机黑客行为。因此，从理论和应用的角度出发，了解犯罪风险因素在跨国样本的青少年黑客中的适用性非常重要。这项研究旨在通过对来自全球超过60,000名青少年的样本进行逻辑回归和潜在类别分析（LCA）来解决与自我报告的骇客行为相关的风险因素，以解决这一差距。尽管在LCA中确定了三种亚型中黑客入侵的独特风险因素，但结果证明了对个人和结构水平的犯罪预测的支持。