This article presents results from an experiment conducted during the web-based 2017 Federal Employee Viewpoint Survey (FEVS) to evaluate an automated refusal conversion strategy whereby a sample of individuals was given the opportunity to opt out from the survey and stop receiving additional e-mail reminders. Before being added to the unsubscribe list, however, the individual was asked to cite the primary reason for choosing not to take the FEVS. A randomly assigned subset was given a last-moment appeal, tailored to the reason provided, at which point the individual could either confirm desiring to opt out or navigate to the start of the survey. Because the complementary subset did not receive the appeal, we are able to report on the efficacy of the strategy in convincing individuals who may not have been initially inclined to participate to do so.

中文翻译：

---

网络调查的自动拒绝转换策略

本文介绍了在基于网络的 2017 年联邦员工观点调查 (FEVS) 期间进行的一项实验结果，该实验旨在评估一种自动拒绝转换策略，该策略使个人样本有机会选择退出调查并停止接收额外的电子邮件提醒。然而，在被添加到取消订阅列表之前，个人被要求引用选择不参加 FEVS 的主要原因。随机分配的子集在最后一刻收到了根据提供的原因量身定制的呼吁，此时个人可以确认希望退出或导航到调查的开始。因为补充子集没有收到上诉，