Assessing respondent-driven sampling
By Sharad Goel, Matthew J. Salganik. Proceedings of the National Academy of Sciences of the United States of America, 2010
375 citations recorded by the source corpus.
Subfields: Epidemiology, Infectious Diseases
View Paper: https://www.semanticscholar.org/paper/d64865130d005c5b65fa4c375b64366f9a71a547
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In Epidemiology
In Infectious Diseases
Citations in the corpus
- Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups (2014, background): “, % of target group recruited, often single strategy pre-post)# 48 [14,15,16,18,19,20,21,22,26,27,30,33,35,38,39,40,44,45, 46,47,49,50,51,53,54,58,65,66,67;71,75,76;77, 81,84,85, 87,91,95,96,97,99,112,113,117,119,120,125,129]”
- The structure of online diffusion networks (2012, background): “Yet another possible explanation is suggested by the example of respondent-driven sampling (RDS) [Salganik and Heckathorn 2004; Goel and Salganik 2010] a type of snowball sampling in which survey respondents enlist the next wave of participants where recruitment chains routinely propagate for man”
- Sampling in software engineering research: a critical review and guidelines (2020, methodology): “3 Respondent-driven sampling has, however, been criticized for producing optimistic condence intervals, and generally being “substantially less accurate than generally acknowledged” [22].”
- Enriching qualitative research by engaging peer interviewers: a case study (2016, background): “Some have been exploited by researchers and research practices in the past (Goel and Salganik, 2010; Noy, 2008; Padgett, 2008).”