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Comparar métodos

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

Amostragem Bola de Neve Ponderada×Amostragem por Indicação de Participantes×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineProcess / pipeline
Ano de origem19971997
Autor originalDouglas D. Heckathorn (formal probability-weighted variant)Douglas Heckathorn
TipoProbability-adjusted chain-referral samplingProbabilistic chain-referral sampling design
Fonte seminalHeckathorn, 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 ↗
Outros nomesweight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral samplingChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme
Relacionados53
ResumoWeighted 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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ScholarGateComparar métodos: Weighted Snowball Sampling · Respondent-Driven Sampling. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare