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Respondent-Driven Sampling×Populācijas novērtēšana ar metodes "noķer-atlaiž" palīdzību×
NozareAptauju metodoloģijaAptauju metodoloģija
SaimeProcess / pipelineRegression model
Izcelsmes gads19971978
AutorsDouglas HeckathornOtis, Burnham, White & Anderson
TipsProbabilistic chain-referral sampling designProbabilistic population size estimator
PirmavotsHeckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗Otis, D. L., Burnham, K. P., White, G. C., & Anderson, D. R. (1978). Statistical inference from capture data on closed animal populations. Wildlife Monographs, 62, 3–135. link ↗
Citi nosaukumiChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü ÖrneklemeMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala
Saistītās32
KopsavilkumsRespondent-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.Capture-recapture (also known as mark-recapture) is a statistical method for estimating the size of an unknown population by sampling it twice and tracking which individuals appear in both samples. Formally systematized for closed animal populations by Otis, Burnham, White, and Anderson in their landmark 1978 Wildlife Monographs paper, the method extends naturally to human populations, epidemiology, and incomplete administrative records.
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ScholarGateSalīdzināt metodes: Respondent-Driven Sampling · Capture-Recapture. Izgūts 2026-06-17 no https://scholargate.app/lv/compare