COMPUTING RESPONSE METRICS FOR ONLINE PANELS
COMPUTING RESPONSE METRICS FOR ONLINE PANELS
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DOI：
10.1093/poq/nfn065
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发表时间：
2008-01-01
影响因子：
3.4
通讯作者：
Disogra, Charles
中科院分区：
文献类型：
--
作者：
Callegaro, Mario;Disogra, Charles
随着越来越多的研究人员使用在线面板进行研究，需要标准化的速度来评估这些研究变得至关重要。目前有许多不同的方法和相互冲突的术语用于计算在线面板的各种指标。本文讨论了如何计算响应，拒绝和其他利率的稀疏文献，并提出了一套公式和标准化的术语，可用于计算和解释这些指标的在线面板研究。基于概率和志愿者选择在面板之间的描述和区别，因为不是所有的指标适用于这两种类型。本报告回顾了现有的讨论和建议，主要是国际组织的讨论和建议，以了解背景和情况。为了提出响应和其他指标，在建立一个在线小组所涉及的不同阶段进行了划定。与这些阶段相关的累积应答率公式可用于使用基于概率的在线小组评估研究。(Only完成率可以通过选择加入小组来计算。最后，我们讨论了所提出的不同指标的含义，以及我们认为应该为哪种类型的小组报告什么。
As more researchers use online panels for studies, the need for standardized rates to evaluate these studies becomes paramount. There are currently many different ways and conflicting terminology used to compute various metrics for online panels. This paper discusses the sparse literature on how to compute response, refusal, and other rates and proposes a set of formulas and a standardized terminology that can be used to calculate and interpret these metrics for online panel studies. A description of and distinction between probability-based and volunteer opt-in panels is made since not all metrics apply to both types. A review of the existing discussion and recommendations, mostly from international organizations, is presented for background and context. In order to propose response and other metrics, the different stages involved in building an online panel are delineated. Metrics associated with these stages contribute to cumulative response rate formulas that can be used to evaluate studies using online probability-based panels. (Only completion rates can be calculated with opt-in panels.) We conclude with a discussion of the meaning of the different metrics proposed and what we think should be reported for which type of panel.