An empirical examination of respondent driven sampling design effects among HIV risk groups from studies conducted around the world

Silva-Santisteban Portella, Alfonso Alberto; Chen, Yea-Hung; Raymond, H.Fisher; Johnston, Lisa G.

dc.contributor.author	Johnston, Lisa G.
dc.contributor.author	Chen, Yea-Hung
dc.contributor.author	Silva-Santisteban Portella, Alfonso Alberto
dc.contributor.author	Raymond, H.Fisher
dc.date.accessioned	2022-01-04T20:29:52Z
dc.date.available	2022-01-04T20:29:52Z
dc.date.issued	2013
dc.identifier.uri	https://hdl.handle.net/20.500.12866/10350
dc.description.abstract	For studies using respondent driven sampling (RDS), the current practice of collecting a sample twice as large as that used in simple random sampling (SRS) (i.e. design effect of 2.00) may not be sufficient. This paper provides empirical evidence of sample-to-sample variability in design effects using data from nine studies in six countries among injecting drug users, female sex workers, men who have sex with men and male-to-female transgender (MTF) persons. We computed the design effect as the variance under RDS divided by the variance under SRS for a broad range of demographic and behavioral variables in each study. We also estimated several measures for each variable in each study that we hypothesized might be related to design effect: the number of waves needed for equilibrium, homophily, and mean network size. Design effects for all studies ranged from 1.20 to 5.90. Mean design effects among all studies ranged from 1.50 to 3.70. A particularly high design effect was found for employment status (design effect of 5.90) of MTF in Peru. This may be explained by a “bottleneck”—defined as the occurrence of a relatively small number of recruitment ties between two groups in the population. A design effect of two for RDS studies may not be sufficient. Since the mean design effect across all studies was 2.33, an effect slightly above 2.00 may be adequate; however, an effect closer to 3.00 or 4.00 might be more appropriate.	en_US
dc.language.iso	eng
dc.publisher	Springer
dc.relation.ispartofseries	AIDS and Behavior
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.subject	Respondent driven sampling	en_US
dc.subject	Design effects	en_US
dc.subject	HIV/AIDS surveillance	en_US
dc.subject	Hard-to-reach populations	en_US
dc.title	An empirical examination of respondent driven sampling design effects among HIV risk groups from studies conducted around the world	en_US
dc.type	info:eu-repo/semantics/article
dc.identifier.doi	https://doi.org/10.1007/s10461-012-0394-8
dc.subject.ocde	https://purl.org/pe-repo/ocde/ford#3.03.08
dc.relation.issn	1573-3254