5. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling
By Matthew J. Salganik, Douglas D. Heckathorn. 2004
1,271 citations recorded by the source corpus.
Subfields: Epidemiology, Statistical and Nonlinear Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4be974dfe5093747fc15fa45f2458c7744af3122
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Epidemiology
- D. Bell
- Mark Cleveland
- Helen Walker
- Nguyen Van Thai
- Patrick Hille
- Stephen Brammer
- Gianfranco Walsh
- S. Roberton
In Statistical and Nonlinear Physics
- M. A. Porter
- Naoki Masuda
- Renaud Lambiotte
- A. O’Malley
- D. Bell
- Mark Cleveland
- Peter V. Marsden
- Helen Walker
In Statistics and Probability
- D. Bell
- Mark Cleveland
- Naoki Masuda
- Renaud Lambiotte
- Peter V. Marsden
- Helen Walker
- A. O’Malley
- Nguyen Van Thai
Citations in the corpus
- Social research 2.0: virtual snowball sampling method using Facebook (2012, background): “In fact, the real concern for generalising theoretical explanations in ensuring that the operationalisations of the constructs allow for generalisable inferences ( Salganik and Heckathorn, 2004”
- Random walks and diffusion on networks (2016, background): ““Respondent-driven sampling” (RDS) is a popular sampling method that uses edge-tracing in a social network [377, 378].”
- Sustainable procurement in the public sector: an international comparative study (2011, methodology): “This approach has been found to be highly useful in researching hidden populations (Kalton and Anderson, 1986), to provide statistically reliable sampling properties in a wide range of circumstances (Salganik and Heckathorn, 2004), and has been used in prior research in supply chain management (Zhu ”
- Pangolins in peril: using local hunters' knowledge to conserve elusive species in Vietnam (2008, methodology): “Potential interviewees were identified on the basis of their reputation as hunters knowledgeable about pangolins, with a respondent-driven sampling method, as previous interviewees inferred or named experienced pangolin hunters in neighbouring villages or communes (Salganik & Heckathorn 2004).”
- Consumer Fear of Online Identity Theft: Scale Development and Validation (2015, methodology): “The sample frame for Study 1 consisted of undergraduate students and non-students, by way of a snowball sampling technique (Salganik and Heckathorn 2004).”
- The analysis of social networks (2008, background): “Respondent-driven sampling (Salganik and Heckathorn 2004) begins with ‘‘seeds’’ known to be within the special population of interest, and encourages them to refer others in the population via network ties.”