Respondent-driven sampling
Matthias Schonlau
University of Waterloo
Waterloo, Canada
[email protected]
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Elisabeth Liebau
DIW Berlin
(German Institute for Economic Research)
Berlin, Germany
[email protected]
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Abstract. Respondent-driven sampling is a network sampling technique typically
employed for hard-to-reach populations (for example, drug users, men who
have sex with men, people with HIV). Similarly to snowball sampling, initial seed
respondents recruit additional respondents from their network of friends. The recruiting
process repeats iteratively, thereby forming long referral chains. Unlike
in snowball sampling, it is crucial to obtain estimates of respondents’ personal
network sizes (that is, number of acquaintances in the target population) and
information about who recruited whom. Markov chain theory makes it possible
to derive population estimates and sampling weights. We introduce a new Stata
command for respondent-driven sampling and illustrate its use.
View all articles by these authors:
Matthias Schonlau, Elisabeth Liebau
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rds, rds_network, respondent-driven sampling
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