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Differences Between RDD Telephone and ABS Mail Survey Design: Coverage, Unit Nonresponse, and Measurement Error

机译:RDD电话和ABS邮件调查设计之间的差异:覆盖范围,单位无响应和测量误差

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Using list-assisted random digit dialing (RDD) with telephone data collection and address-based sampling (ABS) with mail questionnaires are two survey designs that yield probability based inference, yet they are so different that they can yield entirely different results. The 2007 Health Information National Trends Survey (HINTS) provides a unique opportunity to evaluate the effect of these different designs on a variety of survey estimates and, even more importantly, the effect on individual sources of survey error. Understanding the difference in error structure between the two designs is important to survey practitioners in order to select the optimum design, and to data users who can anticipate which results may be affected and how. We first compared estimates between the two designs and then estimated the different sources of error. In addition to identified differences in estimates, we found that for some estimates the two designs can yield similar results merely due to the effect of similar biases. The error components were quite different between the two designs-while the ABS design yields almost complete coverage of the population compared to the RDD design, it was subjected to substantially higher nonresponse bias.
机译:结合电话数据收集使用列表辅助随机数字拨号(RDD)和邮件调查表使用基于地址的采样(ABS)是两种基于概率的推断的调查设计,但是它们是如此不同,以致它们可以产生完全不同的结果。 2007年健康信息国家趋势调查(HINTS)提供了一个难得的机会,可以评估这些不同设计对各种调查估计值的影响,更重要的是,对各个调查误差源的影响。了解这两种设计之间的错误结构的差异对于调查从业人员以选择最佳设计以及对于可以预料哪些结果可能受到影响以及如何受到影响的数据用户而言非常重要。我们首先比较两种设计之间的估计,然后估计不同的误差源。除了确定的估计差异之外,我们发现对于某些估计,这两个设计仅由于相似偏差的影响就可以产生相似结果。两种设计之间的误差成分完全不同,尽管与RDD设计相比,ABS设计几乎可以完全覆盖总体,但其响应误差要大得多。

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