Enhancing Retrospective Life History Data in the Health and Retirement Study

 描述(由申请人提供)：健康和退休研究网络中的几项人口研究收集了追溯的生活史，以满足关于整个生命过程中的伴侣、生育、财务、就业、健康和居住位置信息的多学科需求。这些关于童年、青春期、青春期和中年早期的事件和背景的数据为影响晚年生活结果的社会、历史、亚群和特质因素提供了新的见解。英国老龄化纵向研究(ELSA)和欧洲健康与老龄化调查(SHARE)从2007年到2009年协调了50分钟的计算机辅助面对面事件历史访谈。由于篇幅、成本和两年一次的协议的限制，这个生平访谈模块还没有包括在美国健康和退休研究(HRS)中。我们采取了四步走的方法，开始解决HRS中对此类数据的需求。首先，我们将对HRS生活史数据的现状进行深入审查，并确定这些数据可以在多大程度上与ELSA协调并共享生活史。HRS两年一度的访谈中已经收集了许多关于就业、婚姻/伴侣关系、生育率、健康史和终身创伤的信息。然而，这些数据是在不同的浪潮中收集的，用户很难汇总和核对。我们预计，我们的深入审查过程将发现现有HRS工作、居住、教育和健康历史记录中的差距，以及与ELSA相比在问题和代码方面的不一致之处，并共享数据。第二，在这项检讨之后，并与姊妹研究磋商后，我们将设计和测试一份自我管理的纸质《生活史邮寄调查》(LHMS)，以填补空白和补充人寿保险的生活史。第三，我们计划于2017年在HRS部署LHMS。人力资源部目前被资助在2017年收集两项邮件调查：小组的40%将被分配到消费和活动邮件调查(CAMS)，其余60%将收到关于不同主题的邮件调查。我们寻求资金，以收集和处理额外的邮寄调查(LHMS)，从40%的HRS小组(即，CAMS次样本)。人力资源部将从小组其余60%的成员中收集和处理LHMS。最后，我们将合并和传播几个用户友好的HRS生活史公共和受限数据产品。我们还将制作技术报告、文件和用户指南，在HRS网站上传播。一个公开文件将整合来自各种两年一次的浪潮的汇总信息：第二个文件将发布2017年LHMS数据。这些最初丰富的关于HRS参与者童年至50岁生活的信息对HRS用户的潜在好处将是巨大的。这些资源的可获得性将扩大HRS、ELSA、SHARE和相关研究的统一数据的范围，并促进与晚年健康和幸福相关的生命过程因素的多学科跨国家比较。我们的工作将作为 为今后将人力资源管理系统的生活历史与行政数据联系起来奠定基础。

 DESCRIPTION (provided by applicant): Several population studies within the network of Health and Retirement studies have collected retrospective life histories to address multidisciplinary needs for information about partners, fertility, finances, employment, health, and residential location over the entire life course. These data about events and contexts in childhood, adolescence, young adulthood and early midlife provide new insights into societal, historical, subgroup, and idiosyncratic factors that contribute to late-life outcomes. The English Longitudinal Study of Ageing (ELSA) and Survey of Health and Ageing in Europe (SHARE) fielded harmonized 50-minute computer-assisted in-person event history interviews from 2007 to 2009. Because of the length, cost, and the constraints of its biennial protocol, this life histoy interview module has not yet been included in the U.S. Health and Retirement Study (HRS). We adopt a four-step approach to begin to address the need for such data in HRS. First, we will undertake an in-depth review of the current status of HRS life history data and determine the extent that these data could be harmonized with the ELSA and SHARE life histories. Much information about employment, marital/partnership, fertility, and health histories and lifetime traumas has already been collected in HRS biennial interviews. These data, however, were collected in different waves and are difficult for users to aggregate and reconcile. We anticipate that our in-depth review process will identify gaps in existing HRS records of work, residential, education, and health histories and inconsistencies in questions and codes compared to the ELSA and SHARE data. Second, following this review and in consultation with sister studies, we will design and test a self-administered paper Life History Mail Survey (LHMS) to fill the gaps and supplement HRS life histories. Third, we plan to field the LHMS in HRS in 2017. HRS is currently funded to collect two mail surveys in 2017: 40% of the panel will be assigned to the Consumption and Activities Mail Survey (CAMS) and the remaining 60% will receive a mail survey on a different topic. We seek funds to collect and process an additional mail survey (the LHMS) from 40% of the HRS panel (i.e., the CAMS subsample). HRS will collect and process the LHMS from the remaining 60% of the panel. Finally, we will consolidate and disseminate several user-friendly HRS life history public and restricted data products. We will also produce technical reports, documentation, and user guides to disseminate on the HRS website. One public file will consolidate aggregated information from various biennial waves: A second will release the 2017 LHMS data. The potential benefit to HRS-users of this initial enriched stock of information about the lives of HRS participants between childhood and age 50 will be major. The availability of these resources will expand the scope of harmonized data across HRS, ELSA, SHARE, and related studies and foster multidisciplinary cross- national comparisons of life course factors associated with health and well-being in later life. Our work will serve as the foundation for future linkages of HRS life histories with administrative data.