A More Efficient Web-Based Approach to Collecting National Family, Fertility and Reproductive Health Data

迫切需要对创新的基于网络的数据收集方法进行评估，这些方法是方便的， 这是一个面向公众的网站，为人口研究人员提供高质量的科学信息。巨大的马- 大多数年龄在15岁到49岁之间的美国人现在使用互联网，即使在历史上处于边缘地位- 贫困人口等弱势群体。以下领域的科学进步同样迅速： 1.基于网络的调查数据收集工具，使我们对优势和劣势有了巨大的了解- 利用互联网收集科学数据的必要性。 2.在固定的限制条件下尽量扩大对数据收集工作的反应的调查方法， 理解同一调查中不同测量方法之间的无应答偏倚，包括用于对比的工具， 引导基于网络的数据收集，最大限度地减少无响应偏差。 关于如何利用互联网进行大规模、高质量科学研究的知识的迅速进步， 有效的数据收集对研究人口健康的人口学家尤其重要。上升 数据收集的成本正在威胁到全国普通人口面对面调查的未来。 这个问题对所有NIH支持的普通人群研究都具有重要意义，但它是特殊的- 高度优先重视关于避孕药具使用和不使用等专题的生殖健康研究。NIH R01 25年多来，尽管通货膨胀和快速增长， 数据收集成本上升。因此，新的主要数据收集使用面对面访谈的na- 在人口科学中，传统样本现在是一种罕见的，大规模的团队企业， 无法使用R01机制支持。即使是为数不多的使用面对面的国家研究， 调查数据收集现在受到威胁，因为成本的持续增加可能会使它们 十年内难以支撑。开发一种替代的、科学合理的数据收集系统， 该方法既与新兴的基于Web的技术保持一致，又便于生成， 公众对于继续进行高质量的人口研究是绝对必要的， 美国人口的优先健康和福祉问题。 我们建议制定一个最佳的网络方法，以进行国家调查数据收集， 根据目前的黄金标准国家生殖健康调查验证该方法，该调查依赖于 访谈者管理的数据收集（美国家庭成长全国调查，或NSFG）。这项工作将 使我们能够确定采用基于地址的样本的全国性基于网络的调查的能力， 顺序混合模式和模块化勘测设计技术（即，在几个短时间内完成一项调查- er会议，而不是一个单一的较长的会议），以复制本调查的内容，以及国家的面貌- 采用更具成本效益的设计，对一系列生殖健康主题进行面对面调查估计。

There is an urgent need for the evaluation of innovative web-based data collection methods that are conven- ient for the general public and yield high-quality scientific information for population researchers. The vast ma- jority of all Americans between the ages of 15 and 49 now use the Internet, even across historically marginal- ized groups such as the poor. Scientific advance has been equally rapid in: 1. Web-based survey data collection tools, giving us tremendous knowledge of the strengths and weak- nesses of using the Internet for scientific data collections. 2. The survey methodology of maximizing response to data collection efforts under fixed constraints and understanding non-response bias across measures within the same survey, including the tools for con- ducting web-based data collection that minimizes non-response bias. These rapid advances in knowledge of how the Internet might be used to conduct large-scale, high-quality sci- entific data collections are especially important to demographers researching population health. The rising costs of data collections are threatening the future of national face-to-face surveys of the general population. This issue is of high significance to all NIH-supported research on the general population, but it is especial- ly high priority for reproductive health research on topics such as contraceptive use and non-use. NIH R01 budget caps have remained exactly the same for more than 25 years, in spite of both inflation and the rapidly rising costs of data collection. As a result, new primary data collections using face-to-face interviewing of na- tional samples are now a rare, large-scale team enterprise in the population sciences, and one that is almost impossible to support using the R01 mechanism. Even the few remaining national studies using face-to-face survey data collection are now threatened, because the continued increases in costs are likely to render them difficult to support within another decade. The development of an alternative, scientifically sound data collec- tion methodology that is both well-aligned with emerging web-based technologies and convenient for the gen- eral public is absolutely essential for the continuation of high-quality population research on evolving high- priority health and well-being issues in the U.S. population. We propose to develop an optimal web-based approach to conducting national survey data collection, and validate the approach against a current gold-standard national survey of reproductive health that relies on in- terviewer-administered data collection (the U.S. National Survey of Family Growth, or NSFG). This work will allow us to determine the ability of a national web-based survey that employs an address-based sample and both sequential mixed-mode and modular survey design techniques (i.e., completing a survey in several short- er sessions rather than a single longer session) to replicate the content in this survey as well as national face- to-face survey estimates across a range of reproductive health topics using a more cost-efficient design.