Respondent driven sampling: determinants of recruitment and a method to improve point estimation.

<h4>Introduction</h4>Respondent-driven sampling (RDS) is a variant of a link-tracing design intended for generating unbiased estimates of the composition of hidden populations that typically involves giving participants several coupons to recruit their peers into the study. RDS may gener...

Full description

Saved in:
Bibliographic Details
Main Authors: Nicky McCreesh, Andrew Copas, Janet Seeley, Lisa G Johnston, Pam Sonnenberg, Richard J Hayes, Simon D W Frost, Richard G White
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0078402&type=printable
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850124742496878592
author Nicky McCreesh
Andrew Copas
Janet Seeley
Lisa G Johnston
Pam Sonnenberg
Richard J Hayes
Simon D W Frost
Richard G White
author_facet Nicky McCreesh
Andrew Copas
Janet Seeley
Lisa G Johnston
Pam Sonnenberg
Richard J Hayes
Simon D W Frost
Richard G White
author_sort Nicky McCreesh
collection DOAJ
description <h4>Introduction</h4>Respondent-driven sampling (RDS) is a variant of a link-tracing design intended for generating unbiased estimates of the composition of hidden populations that typically involves giving participants several coupons to recruit their peers into the study. RDS may generate biased estimates if coupons are distributed non-randomly or if potential recruits present for interview non-randomly. We explore if biases detected in an RDS study were due to either of these mechanisms, and propose and apply weights to reduce bias due to non-random presentation for interview.<h4>Methods</h4>Using data from the total population, and the population to whom recruiters offered their coupons, we explored how age and socioeconomic status were associated with being offered a coupon, and, if offered a coupon, with presenting for interview. Population proportions were estimated by weighting by the assumed inverse probabilities of being offered a coupon (as in existing RDS methods), and also of presentation for interview if offered a coupon by age and socioeconomic status group.<h4>Results</h4>Younger men were under-recruited primarily because they were less likely to be offered coupons. The under-recruitment of higher socioeconomic status men was due in part to them being less likely to present for interview. Consistent with these findings, weighting for non-random presentation for interview by age and socioeconomic status group greatly improved the estimate of the proportion of men in the lowest socioeconomic group, reducing the root-mean-squared error of RDS estimates of socioeconomic status by 38%, but had little effect on estimates for age. The weighting also improved estimates for tribe and religion (reducing root-mean-squared-errors by 19-29%), but had little effect for sexual activity or HIV status.<h4>Conclusions</h4>Data collected from recruiters on the characteristics of men to whom they offered coupons may be used to reduce bias in RDS studies. Further evaluation of this new method is required.
format Article
id doaj-art-4823d0963c8c447bbfb608475013ad11
institution OA Journals
issn 1932-6203
language English
publishDate 2013-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj-art-4823d0963c8c447bbfb608475013ad112025-08-20T02:34:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01810e7840210.1371/journal.pone.0078402Respondent driven sampling: determinants of recruitment and a method to improve point estimation.Nicky McCreeshAndrew CopasJanet SeeleyLisa G JohnstonPam SonnenbergRichard J HayesSimon D W FrostRichard G White<h4>Introduction</h4>Respondent-driven sampling (RDS) is a variant of a link-tracing design intended for generating unbiased estimates of the composition of hidden populations that typically involves giving participants several coupons to recruit their peers into the study. RDS may generate biased estimates if coupons are distributed non-randomly or if potential recruits present for interview non-randomly. We explore if biases detected in an RDS study were due to either of these mechanisms, and propose and apply weights to reduce bias due to non-random presentation for interview.<h4>Methods</h4>Using data from the total population, and the population to whom recruiters offered their coupons, we explored how age and socioeconomic status were associated with being offered a coupon, and, if offered a coupon, with presenting for interview. Population proportions were estimated by weighting by the assumed inverse probabilities of being offered a coupon (as in existing RDS methods), and also of presentation for interview if offered a coupon by age and socioeconomic status group.<h4>Results</h4>Younger men were under-recruited primarily because they were less likely to be offered coupons. The under-recruitment of higher socioeconomic status men was due in part to them being less likely to present for interview. Consistent with these findings, weighting for non-random presentation for interview by age and socioeconomic status group greatly improved the estimate of the proportion of men in the lowest socioeconomic group, reducing the root-mean-squared error of RDS estimates of socioeconomic status by 38%, but had little effect on estimates for age. The weighting also improved estimates for tribe and religion (reducing root-mean-squared-errors by 19-29%), but had little effect for sexual activity or HIV status.<h4>Conclusions</h4>Data collected from recruiters on the characteristics of men to whom they offered coupons may be used to reduce bias in RDS studies. Further evaluation of this new method is required.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0078402&type=printable
spellingShingle Nicky McCreesh
Andrew Copas
Janet Seeley
Lisa G Johnston
Pam Sonnenberg
Richard J Hayes
Simon D W Frost
Richard G White
Respondent driven sampling: determinants of recruitment and a method to improve point estimation.
PLoS ONE
title Respondent driven sampling: determinants of recruitment and a method to improve point estimation.
title_full Respondent driven sampling: determinants of recruitment and a method to improve point estimation.
title_fullStr Respondent driven sampling: determinants of recruitment and a method to improve point estimation.
title_full_unstemmed Respondent driven sampling: determinants of recruitment and a method to improve point estimation.
title_short Respondent driven sampling: determinants of recruitment and a method to improve point estimation.
title_sort respondent driven sampling determinants of recruitment and a method to improve point estimation
url https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0078402&type=printable
work_keys_str_mv AT nickymccreesh respondentdrivensamplingdeterminantsofrecruitmentandamethodtoimprovepointestimation
AT andrewcopas respondentdrivensamplingdeterminantsofrecruitmentandamethodtoimprovepointestimation
AT janetseeley respondentdrivensamplingdeterminantsofrecruitmentandamethodtoimprovepointestimation
AT lisagjohnston respondentdrivensamplingdeterminantsofrecruitmentandamethodtoimprovepointestimation
AT pamsonnenberg respondentdrivensamplingdeterminantsofrecruitmentandamethodtoimprovepointestimation
AT richardjhayes respondentdrivensamplingdeterminantsofrecruitmentandamethodtoimprovepointestimation
AT simondwfrost respondentdrivensamplingdeterminantsofrecruitmentandamethodtoimprovepointestimation
AT richardgwhite respondentdrivensamplingdeterminantsofrecruitmentandamethodtoimprovepointestimation