当前位置: X-MOL 学术Psychological Assessment › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Psychopathy checklist: Screening version: A bifactor structure for forensic and community samples.
Psychological Assessment ( IF 3.3 ) Pub Date : 2021-07-29 , DOI: 10.1037/pas0001056
Sally Olderbak 1 , Oliver Wilhelm 1 , Andreas Mokros 2
Affiliation  

We evaluated competing measurement models for the Psychopathy Checklist: Screening Version (PCL:SV), one of the most widely used assessment instruments of psychopathy, which applies to clinical, forensic, and community samples. With four all-male community and forensic samples collected in Germany and the United States (nTotal = 853), we evaluated several measurement models of the PCL:SV, including correlated factor models, higher-order models, and bifactor models, on numerous psychometric criteria including model fit, factor saturation, and predictive utility. Across the samples, we found that a bifactor model had better fit to the data and explained comparable or more variance in measures of fluid intelligence, crystallized intelligence, and characteristics of antisocial personality disorder relative to the four correlated factors model. The best bifactor structure model differed between forensic and community samples. With both populations, in addition to a g factor which loaded on all items, a nested factor representing the lifestyle and antisocial facets was also modeled. With the forensic sample, an additional orthogonal nested factor representing the interpersonal facet was needed. We conclude that there is strong communality across the 12 PCL:SV items, which is best captured by a bifactor structure. However, the specific nesting structure differs due to whether or not the sample includes a forensic or community population. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

中文翻译:

精神病检查表:筛选版本:法医和社区样本的双因素结构。

我们评估了精神病检查表:筛选版本 (PCL:SV) 的竞争测量模型,这是最广泛使用的精神病评估工具之一,适用于临床、法医和社区样本。通过在德国和美国收集的四个全男性社区和法医样本 (nTotal = 853),我们评估了 PCL:SV 的几个测量模型,包括相关因素模型、高阶模型和双因素模型,在众多心理测量标准包括模型拟合、因子饱和度和预测效用。在样本中,我们发现双因素模型更适合数据,并解释了相对于四个相关因素模型的流体智力、结晶智力和反社会人格障碍特征的可比或更多差异。法医样本和社区样本之间的最佳双因子结构模型不同。对于这两个群体,除了加载在所有项目上的 ag 因子之外,还对代表生活方式和反社会方面的嵌套因子进行了建模。对于法医样本,需要一个额外的正交嵌套因素来代表人际方面。我们得出结论,12 个 PCL:SV 项目之间存在很强的共同性,最好通过双因子结构来捕获。但是,具体的嵌套结构因样本是否包括法医或社区种群而异。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。还模拟了代表生活方式和反社会方面的嵌套因素。对于法医样本,需要一个额外的正交嵌套因素来代表人际方面。我们得出结论,12 个 PCL:SV 项目之间存在很强的共同性,最好通过双因子结构来捕获。但是,具体的嵌套结构因样本是否包括法医或社区种群而异。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。还模拟了代表生活方式和反社会方面的嵌套因素。对于法医样本,需要一个额外的正交嵌套因素来代表人际方面。我们得出结论,12 个 PCL:SV 项目之间存在很强的共同性,最好通过双因子结构来捕获。但是,具体的嵌套结构因样本是否包括法医或社区种群而异。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。具体的筑巢结构因样本中是否包含法医或社区种群而异。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。具体的筑巢结构因样本中是否包含法医或社区种群而异。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。
更新日期:2021-07-29
down
wechat
bug