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Painotettu lumipallo-otanta×Osallistujapohjainen otanta×
TieteenalaKyselytutkimuksen metodologiaKyselytutkimuksen metodologia
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi19971997
KehittäjäDouglas D. Heckathorn (formal probability-weighted variant)Douglas Heckathorn
TyyppiProbability-adjusted chain-referral samplingProbabilistic chain-referral sampling design
AlkuperäislähdeHeckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗
Rinnakkaisnimetweight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral samplingChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme
Liittyvät53
TiivistelmäWeighted snowball sampling is a chain-referral technique in which participants recruit peers from a hidden or hard-to-reach population, and differential inclusion probabilities are estimated and corrected through statistical weights. Unlike basic snowball sampling, the weighting step allows approximately unbiased population estimates, bridging the gap between convenience-driven recruitment and probability-based inference.Respondent-Driven Sampling (RDS) is a probabilistic chain-referral method designed to reach hidden or hard-to-reach populations that lack a sampling frame. Introduced by sociologist Douglas Heckathorn in 1997, RDS combines snowball recruitment with mathematical weighting based on participants' personal network sizes, allowing researchers to generate population-level estimates even when no complete membership list exists.
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ScholarGateVertaile menetelmiä: Weighted Snowball Sampling · Respondent-Driven Sampling. Haettu 2026-06-17 osoitteesta https://scholargate.app/fi/compare