Selection Bias in Web Surveys and the Use of Propensity Scores
Selection Bias in Web Surveys and the Use of Propensity Scores
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DOI：
10.1177/0049124108327128
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发表时间：
2009-02-01
影响因子：
6.3
通讯作者：
Couper, Mick
中科院分区：
文献类型：
--
作者：
Schonlau, Matthias;van Soest, Arthur;Couper, Mick
网络调查是一种流行的调查模式，但可以上网的亚人群可能并不代表感兴趣的人群。作者调查是否调整使用权重或匹配的一小部分变量使分布的目标变量代表人口。这个应用程序有一个丰富的抽样设计;互联网样本是现有的概率样本的一部分，健康和退休研究，这是美国的代表。S. 50岁及以上人口。对于研究的二分变量，调整有所帮助。平均而言，互联网接入样本的样本平均值在调整前和调整后分别相差6.5%和3.7%。尽管如此，大量调整后的估计数仍然与其基于完整样本的目标估计数有很大差异。这使人们对仅使用几个变量来校正便利样本的选择性的常见程序产生了怀疑。
Web surveys are a popular survey mode, but the subpopulation with Internet access may not represent the population of interest. The authors investigate whether adjusting using weights or matching on a small set of variables makes the distributions of target variables representative of the population. This application has a rich sampling design; the Internet sample is part of an existing probability sample, the Health and Retirement Study, that is representative of the U. S. population aged 50 and older. For the dichotomous variables investigated, the adjustment helps. On average, the sample means in the Internet access sample differ by 6.5 percent before and 3.7 percent after adjustment. Still, a large number of adjusted estimates remain significantly different from their target estimates based on the complete sample. This casts doubt on the common procedure to use only a few variables to correct for the selectivity of convenience samples.