SURVEY DESIGN ACKNOWLEDGING NONRESPONSE

承认无答复的调查设计

• 批准号: 2053494
• 负责人: ROBERT M GROVES
• 金额: $ 14.23万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-09-30 至 1996-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2053494
• 关键词: data collection methodology /evaluation; human data; human old age (65+); interview; population survey

One of the most common methods of scientific inquiry in demographic research in the sample survey, which permits inference to large diverse natural populations. One theoretical foundation of that inference rests on complete measurement of all sample units; that is, the absence of unit nonresponse. When sample persons who fail to participate differ on key health-related variables from those who do participate, nonresponse error can threaten inference both for descriptive and structural model-based estimates. The efficacy both of efforts to reduce nonresponse through data collection strategies and of statistical postsurvey adjustment for nonresponse rest on (at least implicit) theories of survey participation. The proposed project builds on four years of prior investigation of nonresponse features of several large U.S. national household surveys and the theoretical principles inductively derived from qualitative investigations of survey participation. Based on that work the investigators have encouraged the enrichment of observational and other measures of attributes of the interviewer, neighborhood, household, sample person, and features of the interaction between interviewer and sample person. The collection of these data is specified at the design stage of a survey by a designer who anticipates the fact that nonresponse will occur. The data are used to guide nonresponse reduction activities, decisions to terminate efforts to increase response rates, as well as statistical models for postsurvey adjustment. The proposed project evaluates the utility of some of these design features for the Health and Retirement Survey (HRS) and the upcoming Asset and Health Dynamics of the Oldest Old (AHEAD). The specific aims of the project are an examination of the characteristics of HRS nonrespondents relative to those of respondents and correlates of HRS nonresponse; construction of alternative postsurvey nonresponse adjustment techniques, evaluated through sensitivity analysis on important HRS analyses and variance properties of the resulting estimators; construction of estimates of nonresponse error for key HRS descriptive statistics; development of cost and error models for nonresponse, evaluating the real tradeoff decisions investigators face between continuing to expend data collection resources to increase response rate and limiting or eliminating further expenditures; and a set of proposed design features for the second wave interviewing of HRS and the AHEAD project informative of nonresponse error features of the studies.

人口科学调查最常用的方法之一 抽样调查研究，可以推断出大量不同的 自然种群。这一推论的一个理论基础在于 所有样品单位的完整测量；也就是说，没有单位 无反应。当未能参与的样本人在关键点上存在分歧时 来自参与者的健康相关变量，无响应错误 可能会威胁到基于描述性模型和结构性模型的推理 估计。通过数据减少不答复的努力的效果 收集策略和统计后调查调整 不答复取决于（至少隐含的）调查参与理论。 拟议的项目建立在四年前的调查基础上 美国多项大型全国家庭调查的无答复特征 从定性归纳得出的理论原理 调查参与情况的调查。基于该工作 研究人员鼓励丰富观察和其他研究 访谈者、邻里、家庭、样本属性的测量 人物以及访谈者与样本之间互动的特征 人。这些数据的收集是在设计阶段指定的 一位设计师进行的一项调查，他预计如果没有回应，将会 发生。 这些数据用于指导减少无反应活动， 决定终止提高答复率的努力，以及 调查后调整的统计模型。拟议项目 评估其中一些设计特征对健康和 退休调查 (HRS) 和即将推出的资产与健康动态 最古老的（前方）。该项目的具体目标是审查 HRS 非受访者相对于受访者的特征 以及 HRS 无反应的相关因素；替代性事后调查的构建 通过敏感性分析评估的无反应调整技术 重要的 HRS 分析和结果的方差特性 估算器；构建关键 HRS 的无响应误差估计 描述性统计；开发成本和错误模型 无回应，评估调查人员面临的真正权衡决策 继续花费数据收集资源以增加 响应率并限制或消除进一步的支出；和一套 HRS 第二波面试的拟议设计特征和 AHEAD 项目提供了有关无响应错误特征的信息 研究。