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《人格评估量表中的诈病:特定伪装障碍的识别》

Malingering on the Personality Assessment Inventory: identification of specific feigned disorders.

作者信息

Hopwood Christopher J, Morey Leslie C, Rogers Richard, Sewell Kenneth

机构信息

Department of Psychology, Texas A&M University, College Station, TX 77843-4235, USA.

出版信息

J Pers Assess. 2007 Feb;88(1):43-8. doi: 10.1080/00223890709336833.

Abstract

Profile validity is a primary consideration in the clinical assessment of psychopathology. Several indicators of negative impression management have been developed for the Personality Assessment Inventory (PAI; Morey, 1991) that can both indicate its presence and help differentiate effortful negative distortion from distortion arising from cognitive sets associated with psychopathology. In this study, we tested a method designed to delineate the specific Clinical scales relevant for interpretation of deliberately feigned disorders. We used associations between the Negative Impression Management (NIM) scale and Clinical scales in the normative standardization sample to derive NIM predicted scale scores in a regression framework. We contrasted these predicted scores with observed scores on Clinical scales to yield NIM predicted discrepancies hypothesized to identify those Clinical scales most salient for the interpretation of negative distortion. We found this method to be effective in identifying particular distortion on the relevant scales for individuals attempting to feign 3 specific diagnoses (major depressive disorder, generalized anxiety disorder, and schizophrenia).

摘要

在精神病理学的临床评估中,剖析效度是首要考量因素。针对人格评估量表(PAI;莫雷,1991),已开发出若干负面印象管理指标,这些指标既能表明其存在,又有助于区分刻意的负面歪曲与由精神病理学相关认知模式引起的歪曲。在本研究中,我们测试了一种旨在勾勒出与故意伪装障碍解释相关的特定临床量表的方法。我们利用常模标准化样本中负面印象管理(NIM)量表与临床量表之间的关联,在回归框架中得出NIM预测量表分数。我们将这些预测分数与临床量表上的观察分数进行对比,以产生NIM预测差异,假设这些差异能识别出对负面歪曲解释最为突出的那些临床量表。我们发现该方法对于识别试图伪装三种特定诊断(重度抑郁症、广泛性焦虑症和精神分裂症)的个体在相关量表上的特定歪曲是有效的。

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