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Using Latent Class Analysis to Explore Subtypes of Youth Who Have Committed Sexual Offenses
Youth Violence and Juvenile Justice ( IF 1.5 ) Pub Date : 2018-12-25 , DOI: 10.1177/1541204018820578
Adam Brown 1
Affiliation  

Attempts to identify typologies of youth who have committed sexual offenses have been challenged by their overlapping characteristics with youth who have committed nonsexual crimes, as well as methodological limitations that make the results difficult to translate into direct practice. In the current study, a technical new way of identifying subtypes of these young people was proposed using latent class analysis, a person-centered approach that allows categorical subtypes to be revealed by the data rather than hypothesized differences based on individual factors. The indicators included in this analysis were sexual behaviors only, thereby eliminating any overlap with general delinquents. In a sample of 573 male youth between the ages of 11 and 20 (M = 16.75, SD = 1.72), four unique classes were identified. Research implications are offered.

中文翻译:

使用潜在类别分析探索犯有性犯罪的青年的亚型

试图确定犯有性犯罪的青年人的类型面临挑战,因为他们与犯下非性犯罪的青年人的重叠特征以及方法上的局限性使结果难以转化为直接实践。在当前的研究中,提出了一种使用潜在类别分析来识别这些年轻人亚型的技术新方法,这是一种以人为中心的方法,可以通过数据揭示分类的亚型,而不是根据个体因素进行假设的差异。该分析中包括的指标仅是性行为,从而消除了与一般违法行为的任何重叠。在一个11至20岁(M = 16.75,SD = 1.72)的573名男性青年中,确定了四个独特的类别。提供了研究意义。
更新日期:2018-12-25
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