Respondent-Driven Sampling: a Sampling Method for Hard-to-Reach Populations and Beyond

Abstract Purpose of Review We provided an overview sampling methods for hard-to-reach populations and guidance on implementing one the most popular approaches: respondent-driven (RDS). Recent Findings Limitations related to generating a frame marginalized can make them “hard-to-reach” when conducting population health research. Data analyzed from non-probability-based or convenience samples may produce estimates that are biased not generalizable target population. In RDS time-location (TLS), factors influence inclusion be estimated accounted in effort generate representative samples. is particularly equipped reach hidden members populations. Summary TLS, RDS, combination provide rigorous method identify recruit more characteristics. Researchers interested should expand their toolkits include these methods.