Norming plans for the NIH Toolbox

被引:88
作者
Beaumont, Jennifer L. [1 ]
Havlik, Richard [2 ]
Cook, Karon F. [1 ]
Hays, Ron D. [3 ]
Wallner-Allen, Kathleen [2 ]
Korper, Samuel P. [2 ]
Lai, Jin-Shei [1 ]
Nord, Christine [2 ]
Zill, Nicholas [2 ]
Choi, Seung [1 ]
Yost, Kathleen J. [4 ]
Ustsinovich, Vitali [1 ]
Brouwers, Pim [5 ]
Hoffman, Howard J. [5 ]
Gershon, Richard [1 ]
机构
[1] Northwestern Univ, Feinberg Sch Med, Dept Med Social Sci, Chicago, IL 60611 USA
[2] Westat Corp, Philadelphia, PA USA
[3] Univ Calif Los Angeles, Los Angeles, CA USA
[4] Mayo Clin, Dept Hlth Sci Res, Rochester, MN USA
[5] NIH, Bethesda, MD 20892 USA
基金
美国医疗保健研究与质量局;
关键词
D O I
10.1212/WNL.0b013e3182872e70
中图分类号
R74 [神经病学与精神病学];
学科分类号
100204 [神经病学];
摘要
Objective: 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. Methods: 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. Results: 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. Conclusions: As with any set of norms, users should be mindful of the reference population andmake 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. Neurology (R) 2013; 80 (Suppl3):S87-S92
引用
收藏
页码:S87 / S92
页数:6
相关论文
共 10 条
[1]
Bishop M.M., 1975, DISCRETE MULTIVARIAT
[2]
Bureau USC, 2011, 2010 CENS SUMM FIL 1
[3]
Census.gov, AM COMM SURV 2006 20
[4]
Croker L., 1986, INTRO CLASSICAL MODE
[5]
On a least squares adjustment of a sampled frequency table when the expected marginal totals are known [J].
Deming, WE ;
Stephan, FF .
ANNALS OF MATHEMATICAL STATISTICS, 1940, 11 :427-444
[6]
Fienberg SE., 1980, ANAL CROSS CLASSIFIE
[7]
Assessment of neurological and behavioural function: the NIH Toolbox [J].
Gershon, Richard C. ;
Cella, David ;
Fox, Nathan A. ;
Havlik, Richard J. ;
Hendrie, Hugh C. ;
Wagster, Molly V. .
LANCET NEUROLOGY, 2010, 9 (02) :138-139
[8]
Little R. J. A., 1987, STAT ANAL MISSING DA
[9]
Pedhazur E. J., 1991, Measurement, design, and analysis: an integrated approach
[10]
New portable tool to screen vestibular and visual function-National Institutes of Health Toolbox initiative [J].
Rine, Rose Marie ;
Roberts, Dale ;
Corbin, Bree A. ;
McKean-Cowdin, Roberta ;
Varma, Rohit ;
Beaumont, Jennifer ;
Slotkin, Jerry ;
Schubert, Michael C. .
JOURNAL OF REHABILITATION RESEARCH AND DEVELOPMENT, 2012, 49 (02) :209-220