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Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Amostragem por Indicação de Participantes×Estimativa de Tamanho Populacional por Captura-Recaptura×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineRegression model
Ano de origem19971978
Autor originalDouglas HeckathornOtis, Burnham, White & Anderson
TipoProbabilistic chain-referral sampling designProbabilistic population size estimator
Fonte seminalHeckathorn, 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 ↗
Outros nomesChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü ÖrneklemeMark-Recapture, Tag-Recapture, Mark-Release-Recapture, İşaretle-Yeniden Yakala
Relacionados32
ResumoRespondent-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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ScholarGateComparar métodos: Respondent-Driven Sampling · Capture-Recapture. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare