Neumann Craig S, Hare Robert D, Pardini Dustin A
University of North Texas.
University of British Columbia.
J Pers. 2015 Dec;83(6):678-92. doi: 10.1111/jopy.12127. Epub 2014 Oct 18.
Previous theory and research on the structural, longitudinal, and genetic nature of psychopathy have provided strong conceptual and empirical evidence that overt antisociality is a component of the psychopathy construct (Hare & Neumann, 2008, 2010; Lynam & Miller, 2012). However, determination of the strength of the association between antisociality and other psychopathic features has not been explored systematically. The current article draws on previously published large North American studies, as well as data from across the globe, to estimate the strength and pattern of the associations between overt antisociality and other psychopathic domains in a diverse set of samples. Structural equation modeling was used to estimate model parameters from samples that had data on either the Psychopathy Checklist-Instruments (PCL-R, PCL: YV, PCL: SV) or self-report assessments that have known latent structures (SRP, B-Scan 360). In addition, two relatively large samples (male offenders and young adult males), assessed with both the PCL-R and the SRP, provided an opportunity to examine the link between antisociality and the other psychopathy domains across different assessment methods. The overall findings indicate that the associations were moderate to strong, depending on the nature of the sample, and clearly indicate that antisociality is a core component of the psychopathy construct.
先前关于精神病态的结构、纵向和遗传本质的理论与研究已提供了强有力的概念和实证证据，表明公开的反社会性是精神病态结构的一个组成部分（黑尔和诺伊曼，2008年、2010年；莱纳姆和米勒，2012年）。然而，反社会性与其他精神病态特征之间关联强度的确定尚未得到系统探讨。本文借鉴先前发表的大型北美研究以及来自全球的数据，以估计公开的反社会性与不同样本中其他精神病态领域之间关联的强度和模式。结构方程模型用于从具有《精神病态核查表-工具》（PCL-R、PCL: YV、PCL: SV）数据或具有已知潜在结构的自我报告评估（SRP、B-Scan 360）的样本中估计模型参数。此外，两个相对较大的样本（男性罪犯和年轻成年男性），同时用PCL-R和SRP进行了评估，这提供了一个机会来检验不同评估方法下反社会性与其他精神病态领域之间的联系。总体研究结果表明，这些关联程度为中等至强，具体取决于样本的性质，并且明确表明反社会性是精神病态结构的一个核心组成部分。
