NORC at the University of Chicago, Chicago, Illinois.
National Center for Immunization and Respiratory Diseases, Atlanta, Georgia.
Stat Med. 2019 Oct 15;38(23):4718-4732. doi: 10.1002/sim.8329. Epub 2019 Aug 16.
We discuss alternative estimators of the population total given a dual-frame random-digit-dial (RDD) telephone survey in which samples are selected from landline and cell phone sampling frames. The estimators are subject to sampling and nonsampling errors. To reduce sampling variability when an optimum balance of landline and cell phone samples is not feasible, we develop an application of shrinkage estimation. We demonstrate the implications for survey weighting of a differential nonresponse mechanism by telephone status. We illustrate these ideas using data from the National Immunization Survey-Child, a large dual-frame RDD telephone survey sponsored by the Centers for Disease Control and Prevention and conducted to measure the vaccination status of American children aged 19 to 35 months.
我们讨论了在使用双框架随机数字拨号（RDD）电话调查时，如何对总体人口进行替代估计的问题，其中样本是从固定电话和手机抽样框架中选择的。这些估计值受到抽样和非抽样误差的影响。为了减少抽样变异性，当无法实现固定电话和手机样本的最佳平衡时，我们开发了一种收缩估计的应用。我们通过电话状态展示了电话状态对调查加权的差异无应答机制的影响。我们使用疾病控制与预防中心赞助的大型双框架 RDD 电话调查——国家免疫调查-儿童的数据来说明这些想法，该调查旨在衡量 19 至 35 个月大的美国儿童的疫苗接种状况。
