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A Novel Estimate for the Respondent-Driven Sampling Methods: A Resampling Approach

Abstract Number:

3465 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Paper 

Participants:

Hui Yi (1), Kyle Vincent (2), David Okech (1), Jody Clay-Warner (1), Nnenne Onyioha-Clayton (1), Anne Waswa (1)

Institutions:

(1) University of Georgia, Athens, GA, (2) Independent Researcher and Consultant, Ottawa, Ontario

Co-Author(s):

Kyle Vincent  
Independent Researcher and Consultant
David Okech  
University of Georgia
Jody Clay-Warner  
University of Georgia
Nnenne Onyioha-Clayton  
University of Georgia
Anne Waswa  
University of Georgia

First Author:

Hui Yi  
University of Georgia

Presenting Author:

Hui Yi  
University of Georgia

Abstract Text:

Respondent-driven sampling (RDS) and RDS-like methods, such as Link-Tracing Sampling and Network Sampling, have been widely used in studies of hidden or hard-to-reach populations over the past decade. However, little or no literature has addressed the issue of the violations of RDS or network sampling assumptions and data deficiencies, a challenge that are frequently encountered during RDS implementation due to the uncertainties of fieldwork. To this end, we present an empirical application of a novel estimate for the RDS or RDS-like sampling methods called new estimates for network sampling (NE4NS). It is resampling based, free of RDS and model-based assumptions, as opposed to the conventional RDS estimate in which the Volz-Heckathorn (VH) weighting scheme relies on the self-reported network sizes. The new and the conventional RDS estimations were applied to a sex trafficking prevalence study in Senegal, one of our ongoing projects on which the RDS method was used and the problem of insufficient sample size was faced. As a result, the new RDS estimate with the NE4NS strategy showed to be highly efficient and effective. Future application of the new RDS estimate is encouraged.

Keywords:

Respondent-Driven Sampling (RDS)|Network Sampling|New Estimates for Network Sampling (NE4NS)|Volz-Heckathorn (VH) Weighting Scheme|Hidden or Hard-to-Reach Population|Resampling Approach

Sponsors:

Survey Research Methods Section

Tracks:

Survey Methodology/Modes

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