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一项将精神病态的多种测量指标与反社会行为相关联的大规模荟萃分析。

A large-scale meta-analysis relating the hare measures of psychopathy to antisocial conduct.

作者信息

Leistico Anne-Marie R, Salekin Randall T, DeCoster Jamie, Rogers Richard

机构信息

The University of Alabama, 348 Gordon Palmer Hall, Box 870348, Tuscaloosa, AL 35487-0348, USA.

出版信息

Law Hum Behav. 2008 Feb;32(1):28-45. doi: 10.1007/s10979-007-9096-6. Epub 2007 Jul 13.

DOI:10.1007/s10979-007-9096-6
PMID:17629778
Abstract

The present meta-analysis integrated effect sizes from 95 non-overlapping studies (N=15,826) to summarize the relation between Hare Psychopathy Checklists and antisocial conduct. Whereas prior meta-analyses focused on specific subdomains of the literature, we used broad inclusion criteria, incorporating a diversity of samples, settings, methodologies, and outcomes in our analysis. Our broad perspective allowed us to identify general trends consistent across the entire literature and improved the power of our analyses. Results indicated that higher PCL Total, Factor 1 (F(1)), and Factor 2 (F(2)) scores were moderately associated with increased antisocial conduct. Study effect sizes were significantly moderated by the country in which the study was conducted, racial composition, gender composition, institutional setting, the type of information used to score psychopathy, and the independence of psychopathy and transgression assessments. However, multiple regression analyses indicated that the information used to assess psychopathy did not have a unique influence on effect sizes after accounting for the influence of other moderator variables. Furthermore, racial composition of the sample was related to the country in which the study was conducted, making it unclear whether one or both of these moderators influenced effect sizes. We provide potential explanations for the significant findings and discuss implications of the results for future research.

摘要

本荟萃分析整合了95项不重叠研究(N = 15826)的效应量,以总结哈雷精神病态检查表与反社会行为之间的关系。以往的荟萃分析聚焦于文献的特定子领域,而我们采用了广泛的纳入标准,在分析中纳入了多样的样本、环境、方法和结果。我们广阔的视角使我们能够识别整个文献中一致的总体趋势,并提高了分析的效力。结果表明,较高的PCL总分、因子1(F(1))和因子2(F(2))得分与反社会行为增加呈中度相关。研究的效应量受到研究开展所在国家、种族构成、性别构成、机构环境、用于对精神病态进行评分的信息类型以及精神病态与违规行为评估的独立性的显著调节。然而,多元回归分析表明,在考虑其他调节变量的影响后,用于评估精神病态的信息对效应量没有独特影响。此外,样本的种族构成与研究开展所在国家有关,这使得不清楚这两个调节因素中的一个还是两个影响了效应量。我们对显著结果提供了潜在解释,并讨论了结果对未来研究的启示。

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