Optimum allocation for a dual-frame telephone survey.

IF 1.2 4区 数学 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS
Survey Methodology Pub Date : 2015-12-01 Epub Date: 2015-12-17
Kirk M Wolter, Xian Tao, Robert Montgomery, Philip J Smith
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引用次数: 0

Abstract

Careful design of a dual-frame random digit dial (RDD) telephone survey requires selecting from among many options that have varying impacts on cost, precision, and coverage in order to obtain the best possible implementation of the study goals. One such consideration is whether to screen cell-phone households in order to interview cell-phone only (CPO) households and exclude dual-user household, or to take all interviews obtained via the cell-phone sample. We present a framework in which to consider the tradeoffs between these two options and a method to select the optimal design. We derive and discuss the optimum allocation of sample size between the two sampling frames and explore the choice of optimum p, the mixing parameter for the dual-user domain. We illustrate our methods using the National Immunization Survey, sponsored by the Centers for Disease Control and Prevention.

Abstract Image

双帧电话调查的最佳分配。
精心设计双帧随机数字拨号(RDD)电话调查需要从许多选项中进行选择,这些选项对成本,精度和覆盖范围有不同的影响,以便获得最佳的研究目标实施。其中一个需要考虑的问题是,是否对使用手机的家庭进行筛选,以便只采访使用手机的家庭(CPO),并排除使用双重用户的家庭,还是对所有通过手机样本获得的采访进行调查。我们提出了一个框架,其中考虑这两个选项之间的权衡和方法来选择最优设计。我们推导并讨论了两个采样帧之间样本大小的最优分配,并探讨了双用户域的最优混合参数p的选择。我们使用由疾病控制和预防中心赞助的全国免疫调查来说明我们的方法。
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来源期刊
Survey Methodology
Survey Methodology 数学-统计学与概率论
CiteScore
0.80
自引率
22.20%
发文量
0
审稿时长
>12 weeks
期刊介绍: The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.
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