Sampling and estimation in hidden populations using respondent-driven sampling
Sampling and estimation in hidden populations using respondent-driven sampling
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DOI：
10.1111/j.0081-1750.2004.00152.x
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发表时间：
2004-01-01
期刊：
影响因子：
--
通讯作者：
Heckathorn, DD
中科院分区：
文献类型：
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作者：
Salganik, MJ;Heckathorn, DD
标准的统计方法通常无法准确估计隐藏人口的特征，如注射毒品使用者，无家可归者和艺术家。在本文中，我们进一步发展了一种称为响应驱动抽样的抽样和估计技术，它允许研究人员对这些隐藏的人口进行渐近无偏估计。样品是用雪球型设计选择的，比目前使用的其他方法更便宜，更快速，更容易。此外，我们可以证明，在某些特定的（和相当普遍的）条件下，我们对具有特定性状的人口百分比的估计是渐近无偏的。我们进一步表明，这些估计是渐近无偏的，无论如何选择的种子。最后，我们比较了纽约和弗朗西斯科的爵士音乐家的响应驱动样本，以及来自这些城市的爵士音乐家的相应机构样本。结果表明，一些研究隐藏种群的标准方法可能会产生误导性的结果。
Standard statistical methods often provide no way to make accurate estimates about the characteristics of hidden populations such as injection drug users, the homeless, and artists. In this paper, we further develop a sampling and estimation technique called respondent-driven sampling, which allows researchers to make asymptotically unbiased estimates about these hidden populations. The sample is selected with a snowball-type design that can be done more cheaply, quickly, and easily than other methods currently in use. Further, we can show that under certain specified (and quite general) conditions, our estimates for the percentage of the population with a specific trait are asymptotically unbiased. We further show that these estimates are asymptotically unbiased no matter how the seeds are selected. We conclude with a comparison of respondent-driven samples of jazz musicians in New York and San Francisco, with corresponding institutional samples of jazz musicians from these cities. The results show that some standard methods for studying hidden populations can produce misleading results.