Web-based network sampling - Efficiency and efficacy of respondent-driven sampling for online research
Web-based network sampling - Efficiency and efficacy of respondent-driven sampling for online research
复制标题
DOI：
10.1177/0049124108318333
复制
发表时间：
2008-08-01
影响因子：
6.3
通讯作者：
Heckathorn, Douglas D.
中科院分区：
文献类型：
--
作者：
Wejnert, Cyprian;Heckathorn, Douglas D.
本研究旨在探讨回应者驱动抽样（RDS）作为一种基于网络的抽样方法的可行性、有效性和效率。基于Web的RDS（WebRDS）被认为是高效和有效的。WebRDS的在线性质使转诊链的进展非常迅速，因此，大样本的研究预计将比传统的抽样方法快20倍。此外，研究人群的非隐藏性质允许RDS估计值与机构数据进行比较。结果表明，RDS估计是合理的，但不精确。这可能是由于与随机招募假设和研究样本量小相关的偏倚。最后，本文提出了检验RDS估计所需假设有效性的方法。
This study tests the feasibility, effectiveness, and efficiency of respondent-driven sampling (RDS) as a Web-based sampling method. Web-based RDS (WebRDS) is found to be highly efficient and effective. The online nature of WebRDS allows referral chains to progress very quickly, such that studies with large samples can be expected to proceed up to 20 times faster than with traditional sampling methods. Additionally, the unhidden nature of the study population allows comparison of RDS estimators to institutional data. Results indicate that RDS estimates are reasonable but not precise. This is likely due to bias associated with the random recruitment assumption and small sample size of the study. Finally, this article presents methods for testing the validity of assumptions required by RDS estimation.