Undercoverage Rates and Undercoverage Bias in Traditional Housing Unit Listing
Undercoverage Rates and Undercoverage Bias in Traditional Housing Unit Listing
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DOI：
10.1177/0049124113500477
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发表时间：
2013-08-01
影响因子：
6.3
通讯作者：
Kreuter, Frauke
中科院分区：
文献类型：
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作者：
Eckman, Stephanie;Kreuter, Frauke
许多面对面的调查利用实地工作人员编制住房单元清单，从中挑选样本。然而，住房单元列表容易出现覆盖不足的错误：一些住房单元被遗漏，没有机会被选中。这些误差没有例行计量，也没有记录在调查报告中。本研究共同探讨了覆盖不足的比率，覆盖不足的相关性，以及由于上市住房单元框架覆盖不足而导致的调查数据偏差。通过与全国家庭增长调查合作，我们估计传统上市工作的覆盖率为13.6%。我们发现，多单位的地位，农村地区，地图的困难与覆盖不足。我们发现，在估计变量，如避孕措施的使用，怀孕，和收入显着的偏见。这些结果对使用基于传统住房单元框架的调查数据的用户具有重要意义。
Many face-to-face surveys use field staff to create lists of housing units from which samples are selected. However, housing unit listing is vulnerable to errors of undercoverage: Some housing units are missed and have no chance to be selected. Such errors are not routinely measured and documented in survey reports. This study jointly investigates the rate of undercoverage, the correlates of undercoverage, and the bias in survey data due to undercoverage in listed housing unit frames. Working with the National Survey of Family Growth, we estimate an undercoverage rate for traditional listing efforts of 13.6 percent. We find that multiunit status, rural areas, and map difficulties strongly correlate with undercoverage. We find significant bias in estimates of variables such as birth control use, pregnancies, and income. The results have important implications for users of data from surveys based on traditionally listed housing unit frames.