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人格障碍研究中反应偏差的评估。

Assessment of response bias in personality disorder research.

作者信息

Burchett Danielle, Sellbom Martin, Bagby R Michael

机构信息

Department of Psychology.

Departments of Psychology and Psychiatry.

出版信息

Personal Disord. 2023 Jan;14(1):93-104. doi: 10.1037/per0000608.

Abstract

Most research on personality disorders (PDs) relies upon self-reported information, commonly collected via standardized self-report inventories or structured interviews. Such data might, for instance, be culled from archival records from applied evaluative contexts or collected as part of dedicated anonymized research studies. Many factors-such as disengagement, distractibility, or motivation to appear in a certain manner-may influence whether self-reported information accurately reflects an examinee's genuine personality characteristics. Despite resultant risks to the validity of collected data, very few measures used in PD research include embedded indicators of response validity. In this article, we review the need for validity measures and strategies that exist to identify invalid self-report data, and we offer several suggestions for PD researchers to consider in order to detect invalid self-reported information and improve the quality of their data. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

摘要

大多数关于人格障碍(PDs)的研究都依赖于自我报告的信息,这些信息通常通过标准化的自我报告量表或结构化访谈收集。例如,此类数据可能从应用评估环境的档案记录中挑选出来,或作为专门的匿名研究的一部分收集。许多因素,如脱离接触、注意力分散或以某种方式表现的动机,可能会影响自我报告的信息是否准确反映受测者的真实人格特征。尽管收集到的数据有效性存在风险,但人格障碍研究中使用的测量方法很少包括反应有效性的内在指标。在本文中,我们回顾了对有效性测量的需求以及存在的识别无效自我报告数据的策略,并为PD研究人员提供了一些建议供其考虑,以便检测无效的自我报告信息并提高数据质量。(PsycInfo数据库记录(c)2023美国心理学会,保留所有权利)

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