Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Neurology. 2013 Mar 12;80(11 Suppl 3):S87-92. doi: 10.1212/WNL.0b013e3182872e70.
The NIH Toolbox for Assessment of Neurological and Behavioral Function (NIH Toolbox) is a comprehensive battery of brief assessment tools. The purpose of this article is to describe plans to establish normative reference values for the NIH Toolbox measures.
A large sample will be obtained from the US population for the purpose of calculating normative values. The sample will be stratified by age (ages 3-85 years), sex, and language preference (English or Spanish) and have a total sample size of at least 4,205. The sample will include a minimum of 25-100 individuals in each targeted demographic and language subgroup.
Norming methods will include poststratification adjustment calculated using iterative proportional fitting, also known as raking, so that the weighted sample will have the same distribution on key demographic variables as the US population described in the 2010 Census.
As with any set of norms, users should be mindful of the reference population and make conclusions consistent with the limitations of normative sampling, since it is not a probability-based sample. However, the NIH Toolbox norming study has been designed to minimize bias and maximize representativeness and precision of estimates. The availability of a "toolbox" of normed measures will be an important foundation for addressing critical research questions in neurologic and behavioral health.
美国国立卫生研究院神经行为功能评估工具包（NIH 工具包）是一套综合性的简短评估工具。本文旨在描述建立 NIH 工具包测量指标的规范参考值的计划。
将从美国人群中获得大量样本，以计算规范值。该样本将按年龄（3-85 岁）、性别和语言偏好（英语或西班牙语）分层，总样本量至少为 4205 人。每个目标人群和语言亚组至少有 25-100 人。
规范方法将包括使用迭代比例拟合（也称为耙取）进行的后分层调整，以便加权样本在关键人口统计学变量上的分布与 2010 年人口普查中描述的美国人口相同。
与任何一套规范标准一样，用户应注意参考人群，并根据规范抽样的局限性得出结论，因为它不是基于概率的样本。然而，NIH 工具包的规范研究旨在最大程度地减少偏差，最大限度地提高代表性和估计的精确性。一套标准化测量工具的可用性将是解决神经和行为健康关键研究问题的重要基础。
