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Pensampelan Variasi Maksimum×Persampelan Dorongan Responden×
BidangMetodologi TinjauanMetodologi Tinjauan
KeluargaProcess / pipelineProcess / pipeline
Tahun asal1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)1997
PengasasLincoln & Guba; systematised by Michael Quinn PattonDouglas Heckathorn
JenisPurposive qualitative sampling strategyProbabilistic chain-referral sampling design
Sumber perintisPatton, 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
Berkaitan53
RingkasanMaximum 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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ScholarGateBandingkan kaedah: Maximum Variation Sampling · Respondent-Driven Sampling. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare