Humenik Alexis M, Sherrill Brittany N, Kantor Rachel M, Dolan Sara L
1Department of Psychology and Neuroscience, Baylor University, One Bear Place #97334, Waco, TX 76706 USA.
Physician Health Services, Inc., 860 Winter Street, Waltham, MA 02451 USA.
J Child Adolesc Trauma. 2019 Jun 20;12(4):469-477. doi: 10.1007/s40653-019-00265-1. eCollection 2019 Dec.
To improve understanding and treatment of criminal behavior, researchers have developed typologies of juvenile offenders, primarily focusing on personality traits and criminal history to classify according to type of offense committed. Existing literature has examined underlying personality characteristics found in different subcategories of criminal offenses in juveniles; however, few studies have employed the Personality Assessment Inventory-Adolescent (PAI-A), instead choosing the MMPI-A. A typical classification model of juvenile offenses categorizes offenses into: Interpersonal, Property, and Drug/Alcohol-related charges, to further study within-group differences. The current study examines how personality profiles, examined by the PAI-A, can classify offenders into these offense-type groups. Personality profiles of participants were obtained through pre-sentencing psychological evaluations of 142 juvenile offenders ages 14 to 17. Binary logistic regressions were conducted using PAI-A Clinical, Treatment Consideration, and Interpersonal scales to predict offense-type group classifications. Results yielded statistically significant full models for all offense-type groups, with an average overall accuracy rate of 76.3%. Overall, results suggest that the PAI-A has good predictive power to classify juvenile offender types, and may be more effective in classifying certain types of offenders than the MMPI-A. Notably, Interpersonal and Treatment consideration scales were stronger predictors of offense-type than Clinical scales. This model of juvenile offender classification holds promise for more effective treatment, management, and prediction of behavior for juvenile offenders.
为了增进对犯罪行为的理解并改善其治疗方法,研究人员已开发出少年犯罪者的类型学,主要侧重于根据所犯罪行的类型,依据人格特质和犯罪历史进行分类。现有文献研究了在少年犯罪的不同子类别中发现的潜在人格特征;然而,很少有研究采用《青少年人格评估量表》(PAI-A),而是选择了《明尼苏达多相人格调查表-青少年版》(MMPI-A)。一种典型的少年犯罪分类模型将犯罪分为:人际、财产以及与毒品/酒精相关的指控,以便进一步研究组内差异。本研究考察了通过PAI-A所检测的人格特征如何能够将犯罪者分类到这些犯罪类型组中。通过对142名年龄在14至17岁的少年犯罪者进行判决前心理评估,获取了参与者的人格特征。使用PAI-A临床、治疗考量和人际量表进行二元逻辑回归,以预测犯罪类型组分类。结果显示,所有犯罪类型组的完整模型均具有统计学意义,平均总体准确率为76.3%。总体而言,结果表明PAI-A在对少年犯罪者类型进行分类方面具有良好的预测能力,并且在对某些类型的犯罪者进行分类时可能比MMPI-A更有效。值得注意的是,人际和治疗考量量表比临床量表更能有效预测犯罪类型。这种少年犯罪者分类模型有望为少年犯罪者的行为提供更有效的治疗、管理和预测。