Respondent-driven
sampling is a form of snowball sampling which allows researchers to make
estimates about hidden population such as HIV/AIDS patients, injection drug
users, sex workers, and men who have sex with men etc. It can be used to answer
pertinent questions relating to the hidden population. Respondent-driven sampling is currently in
use.
A respondent-driven sample is
collected via a snowballing design, where current subjects recruit their
friends to be future subjects. Because subjects are not selected via simple
random sampling, care must be taken when making estimates from this type of
sample. It can be proved that if certain conditions are met and if the
appropriate estimation procedures are used, then prevalence estimates from this
type of sample are unbiased and if the appropriate conditions are not met, the
estimates can be biased. Further, even if the appropriate conditions are met,
the estimates from respondent-driven sampling can have very high variance due
to bottlenecks in the underlying network structure of the hidden population.
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