A comparison of network sampling designs for a hidden population of drug users: Random walk vs. respondent-driven sampling |
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| Affiliation: | 1. Department of Sociology, Indiana University-Purdue University Indianapolis, 425 University Blvd, Indianapolis, IN 46202, USA;2. Sociology and Anthropology, Stockton University, School of Social and Behavioral Sciences, 101 Vera King Farris Drive, Galloway, NJ 08205, USA;3. Shell Oil Company, Houston, TX, USA;4. University of Texas M.D. Anderson Cancer Center, USA;1. Division of HIV/AIDS Prevention, Centers for Disease Control and Prevention, Atlanta, GA;2. Viral Hepatitis Epidemiology and Prevention Program, The Kirby Institute, UNSW, Australia;3. Bureau of Epidemiology, Houston Department of Health and Human Services, Houston, TX;1. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;2. School of Public Health and Medicine, University of the Witwatersrand, Johannesburg, South Africa;3. Institute for Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA;4. The Desmond Tutu HIV Centre, University of Cape Town, Cape Town, South Africa;1. CSIRO Digital Productivity and Services Flagship, North Ryde, NSW 1670, Australia;2. School of Computing and Mathematics, Charles Sturt University, Bathurst, NSW 2795, Australia;3. Earth Observation Technology Application Department, Academy of Opto-Electronics, CAS, China;1. College of Computer Science and Technology, Harbin Engineering University, Heilongjiang 150001, China;2. College of Computer Science and Technology, Harbin University of Science and Technology, Heilongjiang 150001, China;1. Research & Technology Group, Fuji Xerox Co., Ltd., Kanagawa, Japan;2. RIKEN Brain Science Institute, Saitama, Japan |
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| Abstract: | Both random walk and respondent-driven sampling (RDS) exploit social networks and may reduce biases introduced by earlier methods for sampling from hidden populations. Although RDS has become much more widely used by social researchers than random walk (RW), there has been little discussion of the tradeoffs in choosing RDS over RW. This paper compares experiences of implementing RW and RDS to recruit drug users to a network-based study in Houston, Texas. Both recruitment methods were implemented over comparable periods of time, with the same population, by the same research staff. RDS methods recruited more participants with less strain on staff. However, participants recruited through RW were more forthcoming than RDS participants in helping to recruit members of their social networks. Findings indicate that, dependent upon study goals, researchers' choice of design may influence participant recruitment, participant commitment, and impact on staff, factors that may in turn affect overall study success. |
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| Keywords: | Network sampling Hidden populations Random walk Respondent-driven sampling Social networks |
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