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Amostragem Bola de Neve Ponderada×Amostragem Intencional×
ÁreaMetodologia de surveyMetodologia de survey
FamíliaProcess / pipelineProcess / pipeline
Ano de origem1997Formalized ~1980–1990
Autor originalDouglas D. Heckathorn (formal probability-weighted variant)Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry
TipoProbability-adjusted chain-referral samplingNon-probability sampling strategy
Fonte seminalHeckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Outros nomesweight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Relacionados54
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.Purposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work.
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ScholarGateComparar métodos: Weighted Snowball Sampling · Purposive sampling. Recuperado em 2026-06-17 de https://scholargate.app/pt/compare