用大量被监禁男性样本验证修订的精神病检查表的潜在特征。

Personality disorders Pub Date : 2023-11-01 Epub Date: 2023-06-15 DOI:10.1037/per0000633
Sandeep Roy, Craig S Neumann, Robert D Hare
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引用次数: 0

摘要

关于精神病和其他反社会临床表现的假定变体,有着悠久的理论和研究传统。然而,使用不同的样本、精神病理学测量、术语和分析方法使解释这些发现变得困难。新兴研究表明,经验证的精神病检查表修订版(PCL-R)的四因素模型为识别精神病变体和反社会亚型提供了一个一致且实证稳健的框架(Hare等人,2018;Neumann等人,2016)。目前的研究采用了对大量被监禁男性(N=2570)PCL-R评分全范围的潜在特征分析(LPA),以复制和扩展最近对基于PCL-R的潜在类别的LPA研究。与之前的研究一致,四类解决方案是最优的,具有以下反社会亚型:原型精神病(C1)、Callous Conning(C2)、外部化(C3)和一般罪犯(C4)。我们通过检查其与理论上有意义的外部相关性的差异关联来验证这些亚型:儿童行为障碍症状;成人非暴力和暴力犯罪;自我报告精神病;精神病人格量表;症状自评量表-90修订版;以及行为激活系统和行为抑制系统得分。讨论的重点是基于PCL-R的亚组的概念及其在风险评估和治疗/管理计划中的潜在应用。(PsycInfo数据库记录(c)2023 APA,保留所有权利)。
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Validating latent profiles of the Psychopathy Checklist-Revised with a large sample of incarcerated men.
There is a long tradition of theory and research on putative variants of psychopathic and other antisocial clinical presentations. However, using different samples, psychopathy measures, terminologies, and analytic methods makes interpretation of the findings difficult. Emerging research suggests that the validated four-factor model of the Psychopathy Checklist-Revised (PCL-R) provides a consistent and empirically robust framework for identifying psychopathic variants and antisocial subtypes (Hare et al., 2018; Neumann et al., 2016). The current study employed latent profile analysis (LPA) of the full range of PCL-R scores in a large sample of incarcerated men (N = 2,570) to replicate and extend recent LPA research on PCL-R-based latent classes. Consistent with previous research, a four-class solution emerged as optimal, with the following antisocial subtypes: Prototypic Psychopathic (C1), Callous-Conning (C2), Externalizing (C3), and General Offender (C4). We validated the subtypes by examining their differential associations with theoretically meaningful external correlates: Child conduct disorder symptoms; adult nonviolent and violent offenses; Self-Report Psychopathy; Psychopathic Personality Inventory; Symptom Checklist-90 Revised; and behavioral activation system and behavioral inhibition system scores. The discussion focused on conceptions of the PCL-R-based subgroups and their potential application to risk assessment and treatment/management programs. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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