Characterizing Nonresponse Error across General Population Survey Data Collection Modes

该研究项目将推进对各种调查措施的不同数据收集模式所引入的非响应误差的认识。这项研究的结果将有助于发展采用多种模式的调查，从而使更多的公众参与和加强调查数据的质量。以人口为基础的调查被用来衡量从失业率到国家健康状况的一切，指导国家、州和地方各级的政策决策。但在过去的二十年里，对总体调查，尤其是电话调查的回应明显下降。因此，研究人员正在探索多种调查数据收集模式。该项目将提供关于不同数据收集模式中非响应误差大小的额外信息。该项目将直接估计非响应误差，而不是从响应和不响应不同调查方案的人之间的人口统计学差异来推断。无应答误差将测量两种调查管理模式：计算机辅助电话访谈（CATI）和电话交互式语音应答（IVR）。为了最小化模态效应，测试调查的问题将从那些最不可能受模态影响的问题中选择出来。这些问题将从几个联邦调查的问题中选出，这些调查包括健康信息全国趋势调查、全国家庭旅行调查、行为风险因素监测系统调查、全国犯罪受害调查、全国免疫调查和当前人口调查。使用基于地址的样本框架，波士顿大都市区不同社区的居民将被随机分配到两种实验调查模式之一：CATI或IVR。在实地调查期结束时，未受访者将被分配给亲自面试者。采访者将联系没有回应调查的家庭成员，邀请他们完成调查。将提供金钱奖励以鼓励作出反应。在任何调查管理模式中，面对面访谈通常具有最高的回复率。来自CATI和IVR非应答者的数据将用于评估调查中包含的关键措施的无应答误差。由此产生的组合样本将提供对调查中包含的变量的直接估计，并将非响应误差降到最低，以便与两种调查管理模式的估计进行比较。该项目由方法、测量和统计项目和联邦统计机构联盟支持，作为支持调查和统计方法研究的联合活动的一部分。

This research project will advance knowledge about nonresponse error introduced by different modes of data collection for a wide variety of survey measures. The results of this research will contribute to the development of surveys employing multiple modes, thus enabling greater public participation and strengthening survey data quality. Population-based surveys are used to measure everything from unemployment to the health of the nation, guiding policy decision making at national, state, and local levels. But responses to surveys in general, and telephone surveys in particular, have declined significantly over the past two decades. As a result, researchers are exploring multiple modes of survey data collection. This project will provide additional information about the magnitude of nonresponse error among alternative modes of data collection.This project will estimate nonresponse error directly rather than inferring it from demographic differences between those who respond and do not respond to different survey protocols. Nonresponse error will be measured for two modes of survey administration: computer-assisted telephone interviewing (CATI) and telephonic interactive voice response (IVR). To minimize mode effects, questions for the test surveys will be selected among those least likely to be impacted by mode. These questions will be chosen among questions included in several federal surveys, such as the Health Information National Trends Survey, National Household Travel Survey, the Behavioral Risk Factor Surveillance System survey, the National Crime Victimization Survey, the National Immunization Survey, and the Current Population Survey. Using an address-based sample frame, residents in diverse neighborhoods in the Boston metropolitan area will be randomly assigned to one of two experimental survey modes: CATI or IVR. At the end of survey field period, nonrespondents will be assigned to in-person interviewers. The interviewers will contact household members who did not respond to the survey, inviting them to complete the survey. Monetary incentives will be provided to encourage response. In-person interviews typically have the highest response rates among any survey administration mode. Data from CATI and IVR nonrespondents will be used to assess nonresponse error for key measures included in the survey. The resulting combined samples will provide direct estimates of the variables included in the survey with a minimum of nonresponse error against which to compare estimates from the two survey administration modes. The project is supported by the Methodology, Measurement, and Statistics Program and a consortium of federal statistical agencies as part of a joint activity to support research on survey and statistical methodology.