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从五因素模型的领域和层面预测人格障碍的维度

Predicting dimensions of personality disorder from domains and facets of the Five-Factor Model.

作者信息

Reynolds S K, Clark L A

机构信息

Department of Psychology, University of Iowa, USA.

出版信息

J Pers. 2001 Apr;69(2):199-222. doi: 10.1111/1467-6494.00142.

DOI:10.1111/1467-6494.00142
PMID:11339796
Abstract

We compared the utility of several trait models for describing personality disorder in a heterogeneous clinical sample (N = 94). Participants completed the Schedule for Nonadaptive and Adaptive Personality (SNAP; Clark, 1993b), a self-report measure that assesses traits relevant to personality disorder, and two measures of the Five-Factor Model: the Revised NEO Personality Inventory (NEO-PI-R; Costa and McCrae, 1992) and the Big Five Inventory (BFI; John, Donahue, & Kentle, 1991). Regression analyses indicated substantial overlap between the SNAP scales and the NEO-PI-R facets. In addition, use of the NEO-PI-R facets afforded substantial improvement over the Five-Factor Model domains in predicting interview-based ratings of DSM-IV personality disorder (American Psychiatric Association, 1994), such that the NEO facets and the SNAP scales demonstrated roughly equivalent levels of predictive power. Results support assessment of the full range of NEO-PI-R facets over the Five-Factor Model domains for both research and clinical use.

摘要

我们比较了几种特质模型在描述异质性临床样本(N = 94)中的人格障碍方面的效用。参与者完成了《非适应性与适应性人格量表》(SNAP;Clark,1993b),这是一种自我报告量表,用于评估与人格障碍相关的特质,以及两种五因素模型量表:《修订版NEO人格问卷》(NEO-PI-R;Costa和McCrae,1992)和《大五人格量表》(BFI;John、Donahue和Kentle,1991)。回归分析表明,SNAP量表与NEO-PI-R子量表之间存在大量重叠。此外,在预测基于访谈的DSM-IV人格障碍评分(美国精神病学协会,1994)方面,使用NEO-PI-R子量表比五因素模型领域有显著改进,因此NEO子量表和SNAP量表表现出大致相当的预测能力。结果支持在研究和临床应用中,对NEO-PI-R的所有子量表进行评估,而不是五因素模型领域。

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