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分裂型人格障碍的计算机自适应测试:检测高危个体。

Computerized Adaptive Testing for Schizotypal Personality Disorder: Detecting Individuals at Risk.

作者信息

Li Yaling, She Menghua, Tu Dongbo, Cai Yan

机构信息

School of Psychology, Jiangxi Normal University, Nanchang, China.

出版信息

Front Psychol. 2021 Jan 25;11:574760. doi: 10.3389/fpsyg.2020.574760. eCollection 2020.

Abstract

As schizotypal personality disorder (SPD) increasingly prevails in the general population, a rapid and comprehensive measurement instrument is imperative to screen individuals at risk for SPD. To address this issue, we aimed to develop a computerized adaptive testing for SPD (CAT-SPD) using a non-clinical Chinese sample ( = 999), consisting of a calibration sample ( = 497) and a validation sample ( = 502). The item pool of SPD was constructed from several widely used SPD scales and statistical analyses based on the item response theory (IRT) a calibration sample using a graded response model (GRM). Finally, 90 items, which measured at least one symptom of diagnostic criteria of SPD in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) and had local independence, good item fit, high slope, and no differential item functioning (DIF), composed the final item pool for the CAT-SPD. In addition, a simulated CAT was conducted in an independent validation sample to assess the performance of the CAT-SPD. Results showed that the CAT-SPD not only had acceptable reliability, validity, and predictive utility but also had shorter but efficient assessment of SPD which can save significant time and reduce the test burden of individuals with less information loss.

摘要

随着分裂型人格障碍(SPD)在普通人群中日益普遍,一种快速且全面的测量工具对于筛查有SPD风险的个体至关重要。为解决这一问题,我们旨在使用一个非临床中国样本(n = 999)开发一种针对SPD的计算机化自适应测试(CAT-SPD),该样本由一个校准样本(n = 497)和一个验证样本(n = 502)组成。SPD的项目库由几个广泛使用的SPD量表构建而成,并基于项目反应理论(IRT)对校准样本使用等级反应模型(GRM)进行统计分析。最终,90个项目组成了CAT-SPD的最终项目库,这些项目测量了《精神障碍诊断与统计手册》(DSM-5)第五版中SPD诊断标准的至少一种症状,并且具有局部独立性、良好的项目拟合度、高斜率且无项目功能差异(DIF)。此外,在一个独立的验证样本中进行了模拟CAT,以评估CAT-SPD的性能。结果表明,CAT-SPD不仅具有可接受的信度、效度和预测效用,而且对SPD的评估更短且高效,能够节省大量时间并减轻个体的测试负担,信息损失更少。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57f1/7868333/72ebae136842/fpsyg-11-574760-g001.jpg

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