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罗夏克攻击性和敌意变量的主成分分析。

A principal components analysis of Rorschach aggression and hostility variables.

机构信息

Department of Psychology, University of Toledo, USA.

出版信息

J Pers Assess. 2010 Nov;92(6):594-8. doi: 10.1080/00223891.2010.513309.

DOI:10.1080/00223891.2010.513309
PMID:20954061
Abstract

We examined the structure of 9 Rorschach variables related to hostility and aggression (Aggressive Movement, Morbid, Primary Process Aggression, Secondary Process Aggression, Aggressive Content, Aggressive Past, Strong Hostility, Lesser Hostility) in a sample of medical students (N= 225) from the Johns Hopkins Precursors Study (The Johns Hopkins University, 1999). Principal components analysis revealed 2 dimensions accounting for 58% of the total variance. These dimensions extended previous findings for a 2-component model of Rorschach aggressive imagery that had been identified using just 5 or 6 marker variables (Baity & Hilsenroth, 1999; Liebman, Porcerelli, & Abell, 2005). In light of this evidence, we draw an empirical link between the historical research literature and current studies of Rorschach aggression and hostility that helps organize their findings. We also offer suggestions for condensing the array of aggression-related measures to simplify Rorschach aggression scoring.

摘要

我们在约翰霍普金斯先驱研究(约翰霍普金斯大学,1999 年)中检查了与敌意和攻击性相关的 9 项罗夏变量的结构,该研究样本包括 225 名医学生。主成分分析揭示了两个维度,占总方差的 58%。这些维度扩展了之前使用 5 或 6 个标记变量确定的罗夏攻击性意象的 2 分量模型的发现(Baity & Hilsenroth,1999;Liebman,Porcerelli,& Abell,2005)。有鉴于此,我们在历史研究文献和当前罗夏攻击性和敌意研究之间建立了经验联系,这有助于组织他们的发现。我们还为简化罗夏攻击性评分建议压缩与攻击性相关的一系列措施。

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