Journal ArticleDOI
Web-Based Network Sampling: Efficiency and Efficacy of Respondent-Driven Sampling for Online Research
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TLDR
Web-based RDS (WebRDS) is found to be highly efficient and effective and methods for testing the validity of assumptions required by RDS estimation are presented.Abstract:
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.read more
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Proceedings ArticleDOI
Random graphs
TL;DR: Some of the major results in random graphs and some of the more challenging open problems are reviewed, including those related to the WWW.
Journal ArticleDOI
Summary Report of the AAPOR Task Force on Non-probability Sampling
Reg Baker,J. Michael Brick,Nancy Bates,Mike Battaglia,Mick P. Couper,Jill A. Dever,Krista J. Gile,Roger Tourangeau +7 more
TL;DR: A wide range of non-probability designs exist and are being used in various settings, including case control studies, clinical trials, evaluation research, and more.
Journal ArticleDOI
Respondent‐driven sampling: an assessment of current methodology
Krista J. Gile,Mark S. Handcock +1 more
TL;DR: In this article, the authors evaluate three critical sensitivities of the estimators: to bias induced by the initial sample, to uncontrollable features of respondent behavior, and to the without-replacement structure of sampling.
Posted Content
Respondent-Driven Sampling: An Assessment of Current Methodology
Krista J. Gile,Mark S. Handcock +1 more
TL;DR: It is indicated that the convenience sample of seeds can induce bias, and the number of sample waves typically used in RDS is likely insufficient for the type of nodal mixing required to obtain the reputed asymptotic unbiasedness.
Journal ArticleDOI
Assessing respondent-driven sampling
Sharad Goel,Matthew J. Salganik +1 more
TL;DR: Investigating the performance of RDS by simulating sampling from 85 known, network populations finds that RDS is substantially less accurate than generally acknowledged and that reported RDS confidence intervals are misleadingly narrow.
References
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Journal ArticleDOI
The Fit Between Theory and Data in Respondent-Driven Sampling: Response to Heimer
Jesus Ramirez-Valles,Douglas D. Heckathorn,Raquel Vázquez,Rafael M. Diaz,Richard T. Campbell +4 more
TL;DR: Respent-Driven Sam-pling (RDS) is “an innovative and powerful method-ology,” thus, the opportunity to furtherclarify the theoretical basis and applications of RDS is welcomed (.