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Stickiness of respondent-driven sampling recruitment chains

Published online by Cambridge University Press:  13 August 2014

JACOB C. FISHER
Affiliation:
Department of Sociology, Duke University, Box 90088, Durham, NC 27708-0088, USA (e-mail: jcf26@duke.edu)
M. GIOVANNA MERLI
Affiliation:
Sanford School of Public Policy & Duke Global Health Institute, Duke Population Research Institute, Duke University, Box 90312, Durham, NC 27708, USA Department of Sociology, Duke University, Durham, NC 27708, USA

Extract

Respondent-driven sampling (RDS) is an increasingly popular chain-referral sampling method. Although it has proved effective at generating samples of hard to reach populations—meaning populations for which sampling frames are not available because they are hidden or socially stigmatized like sex workers or injecting drug users—quickly and cost-effectively, the ease of collecting the sample comes with a cost: bias or inefficiency in the estimates of population parameters (Gile & Handcock, 2010; Goel & Salganik, 2010). One way that RDS can produce inefficient estimates is if one or more of the recruitment chains gets stuck among members of a cohesive subpopulation, preventing the RDS sampling process from exploring other areas of the network. If that happens, members of the population subgroup recruit one another repeatedly, leading to an increase in sample size without increasing the diversity of the sample. This type of stickiness is particularly likely when hidden populations are stratified, and the stratified groups are organized into venues that provide opportunities to recruit other members of the same stratum. Female sex workers (FSW) in China, who are stratified into tiers of sex work that are correlated with marital status, age, and risk behaviors, are a prime example (Merli et al., 2014; Yamanis et al., 2013). Chinese FSW recruit clients from venues such as karaoke bars, massage parlors, or street corners. At larger venues, sex workers who participate in an RDS study might recruit other members of the same venue into the study at a higher rate than expected, leading to inefficient estimates. In short, the chain could get stuck in a venue.

Type
End Note
Copyright
Copyright © Cambridge University Press 2014 

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References

Gile, K. J. (2011). Improved inference for respondent-driven sampling data with application to HIV prevalence estimation. Journal of the American Statistical Association, 106 (493), 135146. doi:10.1198/jasa.2011.ap09475 CrossRefGoogle Scholar
Gile, K. J., & Handcock, M. S. (2010). Respondent-driven sampling: An assessment of current methodology. Sociological Methodology, 40 (1), 285327. doi:10.1111/j.1467-9531.2010.01223.x CrossRefGoogle ScholarPubMed
Goel, S., & Salganik, M. J. (2010). Assessing respondent-driven sampling. Proceedings of the National Academy of Sciences, 107 (15), 67436747. doi:10.1073/pnas.1000261107 CrossRefGoogle ScholarPubMed
Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44 (2), 174199.CrossRefGoogle Scholar
Heckathorn, D. D. (2002). Respondent-driven sampling II: Deriving valid population estimates from chain-referral samples of hidden populations. Social Problems, 49 (1), 1134. doi:10.1525/sp.2002.49.1.11 CrossRefGoogle Scholar
Merli, M. G., Moody, J., Smith, J., Li, J., Weir, S., & Chen, X. (2014). Challenges to recruiting population representative samples of female sex workers in China using respondent driven sampling. Social Science and Medicine. Advance online publication. doi:10.1016/j.socscimed.2014.04.022 CrossRefGoogle Scholar
Weir, S. S., Merli, M. G., Li, J., Gandhi, A. D., Neely, W. W., Edwards, J. K., . . . Chen, X.-S. (2012). A comparison of respondent-driven and venue-based sampling of female sex workers in Liuzhou, China. Sexually Transmitted Infections, 88 (2), i95i101. doi:10.1136/sextrans-2012-050638 CrossRefGoogle ScholarPubMed
Yamanis, T. J., Merli, M. G., Neely, W. W., Tian, F. F., Moody, J., Tu, X., . . . Gao, E. (2013). An empirical analysis of the impact of recruitment patterns on RDS estimates among a socially ordered population of female sex workers in China. Sociological Methods and Research, 42 (3), 392425. doi:10.1177/0049124113494576 CrossRefGoogle ScholarPubMed