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This version was published on August
1, 2008
Sociological Methods & Research, Vol. 37, No. 1,
105-134 (2008)
DOI: 10.1177/0049124108318333
Web-Based Network SamplingEfficiency and Efficacy of Respondent-Driven Sampling for Online Research
Cyprian Wejnert
Cornell University, Ithaca, New York, cw79{at}cornell.edu
Douglas D. Heckathorn
Cornell University, Ithaca, New York
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.
Key Words: respondent-driven sampling online research network sampling higher education
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