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驾照和选民登记名单作为非裔美国农村人口的抽样框架。

Driver's license and voter registration lists as population-based sampling frames for rural African Americans.

作者信息

Adimora A A, Schoenbach V J, Martinson F E, Stancil T R, Donaldson K H

机构信息

Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7030, USA.

出版信息

Ann Epidemiol. 2001 Aug;11(6):385-8. doi: 10.1016/s1047-2797(01)00230-7.

DOI:10.1016/s1047-2797(01)00230-7
PMID:11454497
Abstract

PURPOSE

To compare coverage of a state driver's license list and county voter registration lists as frames for sampling rural African Americans.

METHODS

Name, birth date, sex, and county were extracted from records for all 18--59 year-old African Americans residing in eight rural North Carolina counties and listed in the North Carolina Driver license file [obtained as a SAS dataset from the University of North Carolina (UNC) Highway Safety Research Center] and in machine-readable text files of registered voters (obtained from county boards of elections). Files were edited, merged, and matched by last name and date of birth to produce three files for each five-year age group, sex, and county: 1) persons listed only in the driver's file; 2) persons listed only in the voter's file; and 3) persons listed in both.

RESULTS

The median percentages of unique persons found only on the driver's list, only on the voter's list, and on both lists were 54%, 17%, and 30% men, and 35%, 25%, and 41% women, respectively.

CONCLUSIONS

The driver's list provided better coverage than did voter registration lists. Federal legislation that prohibits states from releasing driver's license lists for use in surveys removes a valuable resource for population-based research.

摘要

目的

比较将州驾照名单和县选民登记名单作为抽样农村非裔美国人的框架的覆盖范围。

方法

从居住在北卡罗来纳州八个农村县的所有18至59岁非裔美国人的记录中提取姓名、出生日期、性别和所在县,并列出在北卡罗来纳州驾照文件(从北卡罗来纳大学(UNC)公路安全研究中心作为SAS数据集获得)以及登记选民的机器可读文本文件(从县选举委员会获得)中的信息。对文件进行编辑、合并,并通过姓氏和出生日期进行匹配,为每个五年年龄组、性别和所在县生成三个文件:1)仅列在驾照文件中的人员;2)仅列在选民文件中的人员;3)同时列在两个文件中的人员。

结果

仅在驾照名单上、仅在选民名单上以及同时在两个名单上发现的独特人员的中位数百分比,男性分别为54%、17%和30%,女性分别为35%、25%和41%。

结论

驾照名单提供的覆盖范围比选民登记名单更好。禁止各州发布驾照名单用于调查的联邦立法消除了基于人群研究的宝贵资源。

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