Use of Internet panels to conduct surveys

被引:265
作者
Hays, Ron D. [1 ,2 ]
Liu, Honghu [3 ]
Kapteyn, Arie [4 ]
机构
[1] Univ Calif Los Angeles, Div Gen Internal Med, Los Angeles, CA 90024 USA
[2] Univ Calif Los Angeles, Hlth Serv Res, Los Angeles, CA 90024 USA
[3] Univ Calif Los Angeles, Sch Dent, Div Publ Hlth & Community Dent, Los Angeles, CA 90024 USA
[4] Univ So Calif, Ctr Econ & Social Res, Los Angeles, CA USA
关键词
Internet panels; Survey research; TELEPHONE; PROBABILITY; MODE; BIAS;
D O I
10.3758/s13428-015-0617-9
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
The use of Internet panels to collect survey data is increasing because it is cost-effective, enables access to large and diverse samples quickly, takes less time than traditional methods to obtain data for analysis, and the standardization of the data collection process makes studies easy to replicate. A variety of probability-based panels have been created, including Telepanel/CentERpanel, Knowledge Networks (now GFK KnowledgePanel), the American Life Panel, the Longitudinal Internet Studies for the Social Sciences panel, and the Understanding America Study panel. Despite the advantage of having a known denominator (sampling frame), the probability-based Internet panels often have low recruitment participation rates, and some have argued that there is little practical difference between opting out of a probability sample and opting into a nonprobability (convenience) Internet panel. This article provides an overview of both probability-based and convenience panels, discussing potential benefits and cautions for each method, and summarizing the approaches used to weight panel respondents in order to better represent the underlying population. Challenges of using Internet panel data are discussed, including false answers, careless responses, giving the same answer repeatedly, getting multiple surveys from the same respondent, and panelists being members of multiple panels. More is to be learned about Internet panels generally and about Web-based data collection, as well as how to evaluate data collected using mobile devices and social-media platforms.
引用
收藏
页码:685 / 690
页数:6
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