A practical approach to using multiple-race response data: A bridging method for public-use microdata
A practical approach to using multiple-race response data: A bridging method for public-use microdata
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DOI：
10.1353/dem.2008.0004
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发表时间：
2008-02-01
期刊：
影响因子：
3.5
通讯作者：
Halpern-Manners, Andrew
中科院分区：
文献类型：
--
作者：
Liebler, Carolyn A.;Halpern-Manners, Andrew
修订后的联邦政策要求在所有联邦数据收集工作中允许多种族响应，但许多研究人员发现大量的种族类别和变量非常难以使用。重要的可比性问题也干扰了在多个数据集和/或几个时间点的分析中使用多种族数据。这些困难实际上阻碍了使用关于种族的新数据。我们提出了一个实用的方法，将多种族的受访者分析，使用公共使用的微数据。我们的方法是由国家卫生统计中心（NCHS）开发的回归方法的修改，该方法使用多种族受访者的特定种族组合，以及其他个人水平和背景特征，预测受访者的首选单一种族。在本文中，我们（1）应用NCHS生成的回归系数，以公共使用的微数据与有限的地理信息;（2）提供了一个可下载的计算机程序，研究人员可以应用这种实用和优选的方法，包括多种族的受访者在各种各样的分析。
Revised federal policies require that multiple-race responses be allowed in all federal data collection efforts, but many researchers find the multitude of race categories and variables very difficult to use. Important comparability issues also interfere with using multiple-race data in analyses of multiple data sets and/or several points in time. These difficulties have, in effect, discouraged the use of the new data on race. We present a practical method for incorporating multiple-race respondents into analyses that use public-use microdata. Our method is a modification of the regression method developed by the National Center for Health Statistics (NCHS), which uses multiple-race respondents' specific combination of races, as well as other individual-level and contextual characteristics, to predict the respondents' preferred single race. In this paper we (1) apply the NCHS-generated regress ion coefficients to public-use microdata with limited geographic information; and (2) provide a downloadable computer program with which researchers can apply this practical and preferable method for including multiple-race respondents in a wide variety of analyses.