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，这些方法通常- 为公众提供互联网，并为人口研究人员提供高质量的科学信息。浩瀚的人海- 现在，年龄在15岁到49岁之间的大多数美国人都在使用互联网，即使是在历史上处于边缘地位的国家-- 像穷人这样的弱势群体。科学进步在以下方面也同样迅速： 1.基于网络的调查数据收集工具，让我们充分了解- 使用互联网进行科学数据收集的风险。 2.在固定限制条件下最大限度地回应数据收集工作的调查方法和 了解同一调查中不同指标之间的无回答偏差，包括用于 引导基于网络的数据收集，将无响应偏差降至最低。 在如何利用互联网进行大规模、高质量的科学研究方面，这些知识的快速进步-- 准确的数据收集对于研究人口健康的人口学家来说尤其重要。正在崛起的 数据收集的成本正在威胁着全国普通人口面对面调查的未来。 这个问题对美国国立卫生研究院资助的所有普通人群研究都具有很高的意义，但它是特别的- 生殖健康研究的高度优先事项，如避孕措施的使用和不使用。NIH R01 预算上限在超过25年的时间里一直保持不变，尽管存在通胀和快速增长 数据收集成本不断上升。因此，新的主要数据收集使用面对面访谈的北美-- 在人口科学领域，常规样本现在是一家罕见的大规模团队企业，而且几乎是 无法支持使用R01机制。即使是仅存的为数不多的面对面的全国性研究 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 在下一个十年内很难维持下去。开发一种替代的、科学合理的数据收集- 既与新兴的基于Web的技术保持良好一致，又便于新一代 对于继续进行高质量的人口研究，外周公众是绝对必要的 美国民众的优先健康和福祉问题。 我们建议开发一种最佳的基于网络的方法来进行全国调查数据收集，以及 对照当前的全国生殖健康黄金标准调查验证该方法，该调查依赖于- 特雷弗管理的数据收集(美国全国家庭增长调查，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网络调查的能力，并 顺序混合模式和模块化调查设计技术(即，在几个短时间内完成一项调查)。 ER会议而不是一个更长的会议)，以复制本次调查的内容以及国家面子- 使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的调查估计。

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.