Sosenko, F. L. and Bramley, G. (2022) Smartphone-based Respondent Driven Sampling (RDS): a methodological advance in surveying small or ‘hard-to-reach’ populations. PLoS ONE, 17(7), e0270673. (doi: 10.1371/journal.pone.0270673) (PMID:35862382) (PMCID:PMC9302716)
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Abstract
Producing statistically robust profiles of small or ‘hard-to-reach’ populations has always been a challenge for researchers. Since surveying the wider population in order to capture a large enough sample of cases is usually too costly or impractical, researchers have been opting for ‘snowballing’ or ‘time-location sampling’. The former does not allow for claims to representativeness, and the latter struggles with under-coverage and estimating confidence intervals. Respondent Driven Sampling (RDS) is a method that combines snowballing sampling with an analytical algorithm that corrects for biases that arise in snowballing. For all its advantages, a major weakness of RDS has been around data collection. Traditionally done on-site, the process is costly and lengthy. When done online, it is cheaper and faster but under a serious threat from fraud, compromising data quality and validity of findings. This paper describes a real-life application of a RDS data collection system that maximizes fraud prevention while still benefiting from low cost and speedy data collection.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Sosenko, Dr Filip |
Authors: | Sosenko, F. L., and Bramley, G. |
College/School: | College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > Mental Health and Wellbeing |
Journal Name: | PLoS ONE |
Publisher: | Public Library of Science |
ISSN: | 1932-6203 |
ISSN (Online): | 1932-6203 |
Copyright Holders: | Copyright © 2022 Sosenko, Bramley |
First Published: | First published in PLoS ONE 17(7): e0270673 |
Publisher Policy: | Reproduced under a Creative Commons License |
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