Few longitudinal studies are capable of identifying criminal career profiles using both self‐report and official court data beyond the 30s. The current study aims to identify criminal career profiles across three developmental periods using self‐report data, validate these profiles with official court records and determine early childhood predictors. Data came from the Seattle Social Development Project (n = 808). Latent Class Analysis was used to examine criminal careers from self‐reported data during adolescence (aged 14–18), early adulthood (aged 21–27) and middle adulthood (aged 30–39). Official court records were used to validate the classes. Childhood risk and promotive factors measured at ages 11–12 were used to predict classes. Findings revealed four career classes: non‐offending (35.6%), adolescence‐limited (33.2%), adult desister (18.3%) and life‐course/persistent (12.9%). Official court records are consistent with the description of the classes. Early life school and family environments as well as having antisocial beliefs and friends differentiate membership across the classes. The results of this study, with a gender‐balanced and racially diverse sample, bolster the current criminal career knowledge by examining multiple developmental periods into the 30s using both self‐report and official court data.

中文翻译：

---

识别和预测从青春期到39岁的犯罪职业概况

很少有纵向研究能够使用30年代以后的自我报告和官方法院数据来确定犯罪职业概况。本研究旨在使用自我报告数据来确定三个发展时期的犯罪职业概况，并通过官方法庭记录对这些概况进行验证，并确定儿童早期预测因素。数据来自西雅图社会发展项目（n= 808）。潜在类别分析用于根据青春期（14至18岁），成年早期（21至27岁）和成年中（30至39岁）的自我报告数据检查犯罪职业。正式的法院记录用于验证类别。使用11至12岁时测得的儿童期风险和激励因素来预测年龄。调查结果显示了四个职业类别：非违规（35.6％），青春期受限（33.2％），成年渴望（18.3％）和人生历程/持久性（12.9％）。法院的正式记录与班级描述一致。早期的学校和家庭环境以及具有反社会的信念和朋友使班级成员之间有所区别。这项研究的结果，包括性别均衡和种族差异的样本，