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Populasjonsestimering med gjenfangstmetoden×Respondent-Driven Sampling×
FagfeltSurveymetodikkSurveymetodikk
FamilieRegression modelProcess / pipeline
Opprinnelsesår19781997
OpphavspersonOtis, Burnham, White & AndersonDouglas Heckathorn
TypeProbabilistic population size estimatorProbabilistic chain-referral sampling design
Opprinnelig kildeOtis, 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 ↗Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗
AliasMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden YakalaChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme
Relaterte23
SammendragCapture-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.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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ScholarGateSammenlign metoder: Capture-Recapture · Respondent-Driven Sampling. Hentet 2026-06-17 fra https://scholargate.app/no/compare