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
Citations
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Journal ArticleDOI
Balancing theory and practice in respondent-driven sampling: a case study of innovations developed to overcome recruitment challenges.
Hong-Ha M. Truong,Michael Grasso,Yea-Hung Chen,Timothy A. Kellogg,Tyler Robertson,Alberto Curotto,Wayne T. Steward,Willi McFarland +7 more
TL;DR: Electronic referrals emerged as a major advantage in recruiting this hard-to-reach population who are of high socio-economic status, geographically diffuse and highly mobile.
Journal ArticleDOI
Respondent-driven Sampling on Directed Networks
TL;DR: Respondent-driven sampling (RDS) is a widely used method for generating chain-referral samples from hidden populations and can be an extension of the snowball sampling method.
Journal ArticleDOI
Assessment of Random Recruitment Assumption in Respondent-Driven Sampling in Egocentric Network Data.
TL;DR: This study demonstrates the occurrence of non-random recruitment, indicating that the recruitment of subjects in this RDS study was not completely at random, and demonstrates that the random selection assumption holds for three group traits, but not for two others.
Journal ArticleDOI
Brief Report: Respondent-driven Sampling Estimators Under Real and Theoretical Recruitment Conditions of Female Sex Workers in China.
Ashton M. Verdery,M. Giovanna Merli,James Moody,James Moody,Jeffrey A. Smith,Jacob C. Fisher +5 more
TL;DR: Traditional respondent-driven sampling estimators overestimate the proportion of female sex workers working in low tiers of sex work and are likely to overstate the sexually transmitted infection risk profiles of these populations, suggests China’s ongoing epidemic of sexually transmitted infections.
Journal ArticleDOI
A Web 2.0 and Epidemiology Mash-Up: Using Respondent-Driven Sampling in Combination with Social Network Site Recruitment to Reach Young Transwomen.
TL;DR: Respent-driven sampling (RDS) peer referral has been proven to be an effective recruitment method for hard-to-reach populations but its application in diverse populations is limited.
References
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Journal ArticleDOI
Collective dynamics of small-world networks
TL;DR: Simple models of networks that can be tuned through this middle ground: regular networks ‘rewired’ to introduce increasing amounts of disorder are explored, finding that these systems can be highly clustered, like regular lattices, yet have small characteristic path lengths, like random graphs.
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
Respondent-driven sampling : A new approach to the study of hidden populations
TL;DR: A new variant of chain-referral sampling, respondent-driven sampling, is introduced that employs a dual system of structured incentives to overcome some of the deficiencies of such samples and discusses how respondent- driven sampling can improve both network sampling and ethnographic investigation.
Reference EntryDOI
Snowball Sampling—I
TL;DR: In this paper, the authors present two different approaches to snowball sampling: the first is to ask a person to inform potential subjects about the research project and share the investigator's contact information, and then it is up to the potential subjects to contact the investigator.