Respondent Tendencies for Nonresponse and Response Error

受访者不答复和答复错误的倾向

• 批准号: 7128274
• 负责人: CHARLES F MANSKI
• 金额: $ 21.45万
• 依托单位: NORTHWESTERN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7128274
• 关键词: aging; behavioral /social science research tag; data collection methodology /evaluation; data quality /integrity; health surveys; human data; psychometrics; questionnaires; retirement; socioeconomics

DESCRIPTION (provided by applicant): We propose to initiate analysis of the tendencies of respondents to the Health and Retirement Study (HRS) for nonresponse and response errors in answering related questions, as well as across the instrument and between waves. We aim to learn whether certain types of respondents tend to systematically provide inaccurate or incomplete information. It has been common in analysis of data quality problems in the MRS and other surveys to study responses to a particular item of interest. However, respondents may have tendencies to provide/not provide accurate/inaccurate information across related questions, or perhaps across the entire instrument. We will investigate how nonresponse and response errors are related across questions, and we will examine the statistical association of response patterns with observable characteristics of respondents. It has been common in analysis of data quality problems to address nonresponse and response errors as separate matters. However, these two facets of data quality may be related. We intend to study the relationship between nonresponse and the accuracy of the data that respondents do provide. Skip sequencing is used in surveys to reduce respondent burden and the cost of interviewing. However, nonresponse and response errors to the opening questions used to determine skip sequences can substantially affect the quality of the data obtained on subsequent questions. We will study how skip sequencing in the HRS transmits nonresponse and response errors across survey items. We will investigate ways to cope with and mitigate the inferential problems arising from skip sequencing. RELEVANCE: The Health and Retirement Study (HRS) is the premier source of publicly available information on the health and economic status of older Americans. This research will improve the ability of researchers to use the HRS while recognizing that some respondent records are incomplete and possibly error-ridden.

描述(由申请人提供)：我们建议开始分析健康和退休研究(HRS)受访者在回答相关问题时的无反应和反应错误的倾向，以及跨仪器和波之间的趋势。我们的目标是了解某些类型的受访者是否倾向于系统性地提供不准确或不完整的信息。在分析MRS和其他调查中的数据质量问题时，研究对特定感兴趣项目的反应是很常见的。然而，答复者可能倾向于提供/不提供相关问题的准确/不准确的信息，或者可能是整个工具的信息。我们将调查不回答和回答错误在问题中是如何相关的，我们将检查回答模式与受访者可观察到的特征的统计关联。在分析数据质量问题时，通常将无响应错误和响应错误作为两个独立的问题来处理。然而，数据质量的这两个方面可能是相关的。我们打算研究无答复与受访者提供的数据的准确性之间的关系。在调查中使用跳过排序，以减少受访者的负担和访问成本。然而，对用于确定跳过序列的开始问题的无回答和回答错误会严重影响从后续问题获得的数据的质量。我们将研究HRS中的跳跃排序如何在调查项目之间传递无回答和回答错误。我们将研究应对和缓解跳过测序引起的推理问题的方法。相关性：健康和退休研究(HRS)是有关美国老年人健康和经济状况的主要公开信息来源。这项研究将提高研究人员使用HRS的能力，同时认识到一些受访者的记录是不完整的，可能充满错误。