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Mostreig bola de neu ponderat×Campionament intencionat×
CampMetodologia d'enquestesMetodologia d'enquestes
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1997Formalized ~1980–1990
Autor originalDouglas D. Heckathorn (formal probability-weighted variant)Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry
TipusProbability-adjusted chain-referral samplingNon-probability sampling strategy
Font 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
Àliesweight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Relacionats54
ResumWeighted 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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ScholarGateCompara mètodes: Weighted Snowball Sampling · Purposive sampling. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare