精神病学测量科学

IF 0.2 4区 医学 Q4 PSYCHIATRY
Robert D. Gibbons, Philip S. Wang
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引用次数: 1

摘要

本文对基于经典测试理论(CTT)的心理健康测量与基于多维项目反应理论(MIRT)的计算机化自适应测试(CAT)进行了比较。我们表明,在最大限度地提高测量精度的同时,基于mirt的CAT与传统的CTT方法相比具有许多优势,同时减少了临床医生和患者的测量负担。我们回顾了CAT治疗抑郁、焦虑、躁狂/轻躁狂、创伤后应激障碍、自杀性精神病和物质使用障碍的文献。我们强调了两个有趣的应用,一个用于国家患病率的确定,一个用于学生心理健康。应用于特殊人群,其中项目水平的偏见可能存在和集成的电子医疗记录系统也进行了讨论。[精神病医生安。]2023; 53(9): 400 - 404。)
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Science of Psychiatric Measurement
In this article, we compare and contrast mental health measurement based on classical test theory (CTT) with computerized adaptive testing (CAT) based on multidimensional item response theory (MIRT). We show that MIRT-based CAT has numerous advantages over the traditional CTT approach in terms of maximizing the precision of measurement while at the same time decreasing the burden of measurement both for the clinician and patient. We review the literature on CAT for depression, anxiety, mania/hypomania, posttraumatic stress disorder, suicidality psychosis, and substance use disorders. We highlight two interesting applications, one for national prevalence determination, and one for student mental health. Applications to special populations where item-level bias may exist and integration with electronic medical records systems are also discussed. [ Psychiatr Ann . 2023;53(9):400–404.]
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来源期刊
Psychiatric Annals
Psychiatric Annals PSYCHIATRY-
CiteScore
0.90
自引率
0.00%
发文量
77
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