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抑郁症状学清单上的人格不匹配者:低质量的自我报告还是真正的非典型症状特征?

Person misfit on the Inventory of Depressive Symptomatology: Low quality self-report or true atypical symptom profile?

机构信息

Research Institute of Child Development and Education, University of Amsterdam, The Netherlands.

Institute of Psychology, Leiden University, Leiden, The Netherlands.

出版信息

Int J Methods Psychiatr Res. 2017 Dec;26(4). doi: 10.1002/mpr.1548. Epub 2016 Nov 14.

Abstract

Person misfit on a self-report measure refers to a response pattern that is unlikely given a theoretical measurement model. Person misfit may reflect low quality self-report data, for example due to random responding or misunderstanding of items. However, recent research in the context of psychopathology suggests that person misfit may reflect atypical symptom profiles that have implications for diagnosis or treatment. We followed-up on Wanders et al. (Journal of Affective Disorders, 180, 36-43, 2015) who investigated person misfit on the Inventory of Depressive Symptomatology (IDS) in the Netherlands Study of Depression and Anxiety (n = 2,981). Our goal was to investigate the extent to which misfit on the IDS reflects low-quality self-report patterns and the extent to which it reflects true atypical symptom profiles. Regression analysis showed that person misfit related more strongly to self-report quality indicators than to variables quantifying theoretically-derived atypical symptom profiles. A data-driven atypical symptom profile explained most variance in person misfit, suggesting that person misfit on the IDS mainly reflects a sample- and questionnaire-specific atypical symptom profile. We concluded that person-fit statistics are useful for detecting IDS scores that may not be valid. Further research is necessary to support the interpretation of person misfit as reflecting a meaningful atypical symptom combination.

摘要

个体不适合度是指在理论测量模型下不太可能出现的反应模式。个体不适合度可能反映了低质量的自我报告数据,例如由于随机反应或对项目的误解。然而,最近在精神病理学背景下的研究表明,个体不适合度可能反映了对诊断或治疗有影响的非典型症状特征。我们对 Wanders 等人(《情感障碍杂志》,第 180 卷,第 36-43 页,2015 年)进行了跟进,他们调查了荷兰抑郁和焦虑研究(n=2981)中抑郁症状学量表(IDS)的个体不适合度。我们的目标是调查 IDS 上的不适合度在多大程度上反映了低质量的自我报告模式,以及在多大程度上反映了真正的非典型症状特征。回归分析表明,个体不适合度与自我报告质量指标的关系比量化理论衍生的非典型症状特征的变量更为密切。数据驱动的非典型症状特征解释了个体不适合度的大部分方差,这表明 IDS 上的个体不适合度主要反映了样本和问卷特有的非典型症状特征。我们得出结论,个体适合度统计数据可用于检测可能无效的 IDS 分数。需要进一步的研究来支持将个体不适合度解释为反映有意义的非典型症状组合的观点。

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Appl Psychol Meas. 2016 Mar;40(2):128-141. doi: 10.1177/0146621615611164. Epub 2015 Oct 30.
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3
Explanatory, Multilevel Person-Fit Analysis of Response Consistency on the Spielberger State-Trait Anxiety Inventory.
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4
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7
Data-driven atypical profiles of depressive symptoms: Identification and validation in a large cohort.
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9
Detecting and Explaining Aberrant Responding to the Outcome Questionnaire-45.
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10
Invalid responding in questionnaire-based research: implications for the study of schizotypy.
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