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用于确定八种常见神经心理学测试工具重测差异显著性的常模数据。

Normative data for determining significance of test-retest differences on eight common neuropsychological instruments.

作者信息

Levine Andrew J, Miller Eric N, Becker James T, Selnes Ola A, Cohen Bruce A

机构信息

Department of Psychiatry, UCLA School of Medicine, Los Angeles, CA 90024-1759, USA.

出版信息

Clin Neuropsychol. 2004 Aug;18(3):373-84. doi: 10.1080/1385404049052420.

Abstract

Clinicians and researchers who use neuropsychological tests to track functioning over time are in need of a method to correct for the effects of practice. Drawing from a large database of healthy, male subjects, we present data that can be used to calculate predicted retest scores for eight widely used neuropsychological instruments either via simple regression or reliable change index (RCI) methods. These methods are useful for individuals assessed across a wide time interval, 4-24 months. Limitations are discussed regarding the applicability of the data. Those with a need to factor out the effects of practice, test-retest reliability and other statistical confounds will find the information within this article useful.

摘要

使用神经心理学测试来长期追踪功能状况的临床医生和研究人员需要一种方法来校正练习效应。我们从一个包含大量健康男性受试者的数据库中提取数据,这些数据可用于通过简单回归或可靠变化指数(RCI)方法计算八种广泛使用的神经心理学工具的预测重测分数。这些方法适用于在4至24个月的广泛时间间隔内接受评估的个体。文中讨论了这些数据适用性的局限性。那些需要排除练习效应、重测信度和其他统计混杂因素影响的人会发现本文中的信息很有用。

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