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Muestreo de Variación Máxima×Muestreo Basado en el Encuestado×
CampoMetodología de encuestasMetodología de encuestas
FamiliaProcess / pipelineProcess / pipeline
Año de origen1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)1997
Autor originalLincoln & Guba; systematised by Michael Quinn PattonDouglas Heckathorn
TipoPurposive qualitative sampling strategyProbabilistic chain-referral sampling design
Fuente seminalPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗
Aliasmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous samplingChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme
Relacionados53
ResumenMaximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation.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: Maximum Variation Sampling · Respondent-Driven Sampling. Recuperado el 2026-06-17 de https://scholargate.app/es/compare