Respondent Tendencies for Nonresponse and Response Error

描述（由申请人提供）：我们建议对健康与退休研究（HRS）的受访者在回答相关问题时的无应答和应答错误的倾向进行分析，以及跨仪器和波之间的分析。我们的目标是了解某些类型的受访者是否倾向于系统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常见的。然而，答复者可能倾向于在相关问题或整个文书中提供/不提供准确/不准确的信息。我们将研究如何在不同的问题之间的无应答和应答错误的相关性，我们将研究应答模式与应答者的可观察特征的统计关联。在分析数据质量问题时，通常将不答复和答复错误作为单独的事项处理。然而，数据质量的这两个方面可能是相关的。我们打算研究不回答和受访者提供的数据的准确性之间的关系。跳过排序用于调查，以减少受访者的负担和采访成本。然而，用于确定跳过序列的开场问题的不回答和回答错误会严重影响后续问题所获得的数据的质量。我们将研究HRS中的跳过排序如何在调查项目中传输无应答和应答错误。我们将探讨如何处理和减轻由跳跃排序引起的推理问题。相关性：健康和退休研究（HRS）是美国老年人健康和经济状况公开信息的主要来源。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，可能是错误的。

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.