A minimally intrusive method for sampling persons in random digit dial surveys
A minimally intrusive method for sampling persons in random digit dial surveys
复制标题
DOI：
10.1093/poq/nfh014
复制
发表时间：
2004-06-01
影响因子：
3.4
通讯作者：
Park, I
中科院分区：
文献类型：
--
作者：
Rizzo, L;Brick, JM;Park, I
为了调查所有成年人等人口，许多研究都对住户进行抽样，作为接触这一人口的中间步骤，因为直接对人口进行抽样需要一份只有在特殊情况下才存在的全面清单。在随机数字拨号（RDD）调查中，住户样本是通过电话号码抽样获得的。然后进行住户内抽样，从住户到个人。从进行RDD调查的最初几天起，一个关键的研究目标就是制定和评价不降低答复率的家庭内抽样方法。一些不给出概率样本的抽样方法已经被提出并在实践中使用。虽然这些方法是受选择偏差，他们的使用已被证明是必要的，以提高响应率，简化和改善流程的interview.We提出了一个新的和简单的方法，是最低限度的侵入性的家庭内抽样，因此，不应该有一个有害的影响响应率。该方法的结果是在住户内对符合条件的人进行概率抽样。该方法是特别简单的实施计算机辅助电话采访（CATI）RDD调查。我们专注于从每个家庭抽样一个成年人，因为这是主要的应用程序，但我们也描述了如何将该方法扩展到每个家庭抽样一个以上的人。本文介绍了一项研究的方法和结果。下一步，将这一方法与其他家庭内抽样方法进行实验性比较将是有益的。
To survey a population of persons such as all adults, many studies sample households as an intermediary step to reach this population because directly sampling persons requires a comprehensive list that exists only in specialized situations. In random digit dial (RDD) surveys, the sample of households is obtained by sampling telephone numbers. Within-household sampling is then performed to go from the household to the person level. From the earliest days of conducting RDD surveys, a key research objective has been the development and evaluation of methods of within-household sampling that do not lower response rates. Some sampling methods that do not give probability samples have been proposed and used in practice. Although these methods are subject to selection bias, their use has been justified as necessary to increase response rates by simplifying and improving the flow of the interview.We propose a new and simple method of within-household sampling that is minimally intrusive and, thus, should not have a deleterious effect on response rates. The method results in a probability sample of eligible persons within households. The method is especially simple to implement in computerassisted telephone interview (CATI) RDD surveys. We focus on sampling one adult from each household as this is the primary application, but we also describe how the method can be extended to sample more than one person per household. This paper provides an introduction to the method and results from one study. Experimental comparisons of this approach with other methods of within-household sampling would be a useful next step.