Options for Conducting Web Surveys
Options for Conducting Web Surveys
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DOI：
10.1214/16-sts597
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发表时间：
2017-05-01
影响因子：
5.7
通讯作者：
Couper, Mick P.
中科院分区：
文献类型：
--
作者：
Schonlau, Matthias;Couper, Mick P.
网络调查可以相对快速地进行，成本也相对较低。然而，网络调查通常是用非概率样本进行的，因此，一个主要的问题是概括性。有两种主要方法来解决这一关切：一是找到一种方法，在不丧失大部分成本和速度优势的情况下对概率样本进行网络调查(例如，使用混合模式方法或基于概率的小组调查)。使用辅助变量对非概率样本进行调整(如倾向评分、后分层、Greg)。我们回顾了这两种方法，以及不太为人所知的方法，如受访者驱动的抽样。Web调查有许多不同的方法可以解决概括性的挑战。我们的结论是，方法的选择应该与研究的目的相称，而不是采取一刀切的方法。
Web surveys can be conducted relatively fast and at relatively low cost. However, Web surveys are often conducted with nonprobability samples and, therefore, a major concern is generalizability. There are two main approaches to address this concern: One, find a way to conduct Web surveys on probability samples without losing most of the cost and speed advantages (e.g., by using mixed-mode approaches or probability-based panel surveys). Two, make adjustments (e.g., propensity scoring, post-stratification, GREG) to nonprobability samples using auxiliary variables. We review both of these approaches as well as lesser-known ones such as respondent-driven sampling. There are many different ways Web surveys can solve the challenge of generalizability. Rather than adopting a one-size-fits-all approach, we conclude that the choice of approach should be commensurate with the purpose of the study.