Alcázar-Córcoles Miguel A, Verdejo-García Antonio, Bouso-Sáiz José C, Revuelta-Menéndez Javier, Ramírez-Lira Ezequiel
Department of Biological Psychology and Health Psychology, School of Psychology of the Autonomous University of Madrid (UAM). Institute of Forensic and Security Sciences (ICFS), Autonomous University of Madrid (UAM), Madrid (Spain).
School of Psychological Sciences and Monash Institute of Cognitive and Clinical Neurosciences (MICCN), Monash University. Melbourne, Australia.
Actas Esp Psiquiatr. 2017 May;45(3):89-97. Epub 2017 May 1.
There is a renewed interest in incorporating personality variables in criminology theories in order to build models able to integrate personality variables and biological factors with psychosocial and sociocultural factors. The aim of this article is the assessment of personality dimensions that contribute to the prediction of antisocial behavior in adolescents.
For this purpose, a sample of adolescents from El Salvador, Mexico, and Spain was obtained. The sample consisted of 1035 participants with a mean age of 16.2. There were 450 adolescents from a forensic population (those who committed a crime) and 585 adolescents from the normal population (no crime committed). All of participants answered personality tests about neuroticism, extraversion, psychoticism, sensation seeking, impulsivity, and violence risk.
Principal component analysis of the data identified two independent factors: (i) the disinhibited behavior pattern (PDC), formed by the dimensions of neuroticism, psychoticism, impulsivity and risk of violence; and (ii) the extrovert behavior pattern (PEC), formed by the dimensions of sensation risk and extraversion. Both patterns significantly contributed to the prediction of adolescent antisocial behavior in a logistic regression model which properly classifies a global percentage of 81.9%, 86.8% for non-offense and 72.5% for offense behavior.
The classification power of regression equations allows making very satisfactory predictions about adolescent offense commission. Educational level has been classified as a protective factor, while age and gender (male) have been classified as risk factors.
为了构建能够将人格变量和生物因素与心理社会及社会文化因素整合在一起的模型,人们对将人格变量纳入犯罪学理论重新产生了兴趣。本文旨在评估有助于预测青少年反社会行为的人格维度。
为此,获取了来自萨尔瓦多、墨西哥和西班牙的青少年样本。该样本由1035名参与者组成,平均年龄为16.2岁。其中有450名来自法医群体的青少年(即那些实施了犯罪行为的人)以及585名来自正常群体的青少年(未实施犯罪行为)。所有参与者都回答了关于神经质、外向性、精神质、寻求刺激、冲动性和暴力风险的人格测试。
对数据进行主成分分析确定了两个独立因素:(i)去抑制行为模式(PDC),由神经质、精神质、冲动性和暴力风险维度构成;以及(ii)外向行为模式(PEC),由寻求刺激和外向性维度构成。在一个逻辑回归模型中,这两种模式都对青少年反社会行为的预测有显著贡献,该模型对全局的正确分类率为81.9%,对未犯罪行为的分类率为86.8%,对犯罪行为的分类率为72.5%。
回归方程的分类能力使得对青少年犯罪行为能够做出非常令人满意的预测。教育水平被归类为保护因素,而年龄和性别(男性)被归类为风险因素。