Characterizing Nonresponse Error across General Population Survey Data Collection Modes

表征一般人口调查数据收集模式中的无响应误差

• 批准号: 1424433
• 负责人: Philip Brenner
• 金额: $ 30.82万
• 依托单位: University of Massachusetts Boston
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2017-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1424433&HistoricalAwards=false
• 关键词: Characterizing; Nonresponse; Error; across; General

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.

本研究项目将提高对各种调查措施的不同数据收集模式所引入的无应答误差的认识。 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提高调查数据的质量。 基于人口的调查用于衡量从失业到国家健康的一切，指导国家，州和地方各级的政策决策。 但在过去20年里，对一般调查，特别是电话调查的答复大幅下降。 因此，研究人员正在探索多种调查数据收集模式。 该项目将提供关于数据收集的各种模式中无答复误差的大小的更多信息，该项目将直接估计无答复误差，而不是根据对不同调查协议作出答复和不作出答复的人之间的人口统计差异来推断。 将测量两种调查管理模式的无应答错误：计算机辅助电话访谈（CATI）和电话交互式语音应答（IVR）。 为了尽量减少模式的影响，测试调查的问题将从最不可能受模式影响的问题中选择。 这些问题将从几项联邦调查中选择，如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、全国犯罪受害情况调查、全国免疫接种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性调查模式之一：CATI或IVR。 在实地调查结束时，非受访者将被分配给面对面的采访者。 访问员会联络没有回应调查的住户成员，邀请他们填写调查。 将提供货币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响应率。 来自CATI和IVR非应答者的数据将用于评估调查中包括的关键指标的非应答错误。 由此产生的合并样本将提供调查中所包括变量的直接估计值，并将无应答误差降至最低，以比较两种调查管理模式的估计值。 该项目得到了方法、测量和统计方案以及联邦统计机构联合会的支持，作为支持调查和统计方法研究的联合活动的一部分。

项目成果

Effects of nonresponse and coverage problems on survey estimates of physical activity

无答复和覆盖问题对身体活动调查估计的影响

• DOI: 10.1080/02732173.2021.1926379
• 发表时间: 2021
• 期刊: Sociological Spectrum
• 影响因子: 1.8
• 作者: Brenner, Philip S.

Effects of Nonresponse, Measurement, and Coverage Bias in Survey Estimates of Voting

无答复、测量和覆盖偏差对投票调查估计的影响

• DOI: 10.1111/ssqu.12935
• 发表时间: 2021
• 期刊: Social Science Quarterly
• 影响因子: 1.9
• 作者: Brenner, Philip S.

The Effects of Nonresponse and Sampling Omissions on Estimates on Various Topics in Federal Surveys: Telephone and IVR Surveys of Address-Based Samples

无答复和抽样遗漏对联邦调查中各个主题估计的影响：基于地址样本的电话和 IVR 调查

• DOI: 10.2478/jos-2020-0032
• 发表时间: 2020
• 期刊: Journal of Official Statistics
• 影响因子: 1.1
• 作者: Fowler, Floyd J.;Brenner, Philip;Roman, Anthony M.;Hargraves, J. Lee
• 通讯作者: Hargraves, J. Lee

Telephone health survey estimates: Effects of nonresponse and sample limitations

• DOI: 10.1111/1475-6773.13110
• 发表时间: 2019-06-01
• 期刊: HEALTH SERVICES RESEARCH
• 影响因子: 3.4
• 作者: Fowler, Floyd J., Jr.;Brenner, Philip S.;Roman, Anthony
• 通讯作者: Roman, Anthony

Does Survey Nonresponse Bias Estimates of Religious Service Attendance? Evidence from an Address-Based Sample from the Boston Area

调查无答复对宗教服务出席率的估计存在偏差吗？

• DOI: 10.1093/socrel/sry031
• 发表时间: 2018
• 期刊: Sociology of Religion
• 影响因子: 3.1
• 作者: Brenner, Philip S