THE PREDICTION OF CHANGE: NORMATIVE NEUROPSYCHOLOGICAL TRAJECTORIES
THE PREDICTION OF CHANGE: NORMATIVE NEUROPSYCHOLOGICAL TRAJECTORIES
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DOI：
10.1080/13854040801945078
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发表时间：
2009-01-01
影响因子：
3.9
通讯作者：
Barth, Jeffrey T.
中科院分区：
文献类型：
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作者：
Attix, Deborah K.;Story, Tyler J.;Barth, Jeffrey T.
尽管标准化标准的应用对临床神经心理学的实践至关重要，但关于标准化变化的数据仍然很少，尽管系列评估的频率很高。基于285名正常人，我们提供了具有人口统计学调整和基于标准化回归(SRB)模型的三个时间点的多项测量的协归归一化基线数据。这些模型描绘了正常的、预期的随时间变化的结果，并产生了标准化的z分数，这些分数在不同测试中具有可比性。使用一种新的方法，在随后的变化模型中考虑了以前任何试验的表现，产生了模拟变化轨迹的一系列规范公式，而不是简单的点到点的变化。这些公式提供了偏离预期基线和变化的指数，用于临床或研究环境。
While the application of normative standards is vital to the practice of clinical neuropsychology, data regarding normative change remains scarce despite the frequency of serial assessments. Based on 285 normal individuals, we provide co-normed baseline data with demographic adjustments and test-retest standardized regression based (SRB) models for three time points for several measures. These models delineate normal, expected change across time, and yield standardized z-scores that are comparable across tests. Using a new approach, performance on any previous trial was accounted for in the subsequent models of change, yielding serial normative formulas that model change trajectories rather than simple change from point to point. These equations provide indices of deviation from expected baseline and change for use in clinical or research settings.