Greenberg Michael R, Weiner Marc D
EJ Bloustein School, Rutgers University, New Brunswick, NJ, USA.
Risk Anal. 2014 Aug;34(8):1362-75. doi: 10.1111/risa.12250. Epub 2014 Jul 15.
This tutorial focuses on how to produce reliable and generalizable data from random-digit-dialing (RDD) landline and cell phone surveys. The article notes that RDD response rates have declined and explores the impact of this pronounced decline. The tutorial addresses order, response mode, and many other biases, sample size, cooperation and response rates, weighting, and hybrid designs-all using examples from risk analysis to illustrate the key points. The article ends with a brief review of the advantages and disadvantages of major Internet and paper surveys tools, and how these can be molded and sometimes combined in repeated, longitudinal, and other designs to answer questions about risk preferences and perceptions.
本教程重点介绍如何通过随机数字拨号（RDD）固定电话和手机调查来生成可靠且具有普遍性的数据。文章指出RDD回复率已下降，并探讨了这一显著下降的影响。本教程涉及顺序、回复方式以及许多其他偏差、样本量、合作与回复率、加权和混合设计等内容——所有这些都通过风险分析的示例来说明要点。文章最后简要回顾了主要互联网和纸质调查工具的优缺点，以及如何在重复、纵向和其他设计中对这些工具进行调整，有时还将它们结合起来，以回答有关风险偏好和认知的问题。
