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Linganisha mbinu

Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.

Uchanganuzi wa Kiwango cha Juu cha Utatanishi×Sampuli ya Kuendesha Mwitikio×
NyanjaMetodolojia ya DodosoMetodolojia ya Dodoso
FamiliaProcess / pipelineProcess / pipeline
Mwaka wa asili1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)1997
MwanzilishiLincoln & Guba; systematised by Michael Quinn PattonDouglas Heckathorn
AinaPurposive qualitative sampling strategyProbabilistic chain-referral sampling design
Chanzo asiliaPatton, 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 ↗
Majina mbadalamaximum variation sampling, maximum diversity sampling, MVS, heterogeneous samplingChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme
Zinazohusiana53
MuhtasariMaximum 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.
ScholarGateSeti ya data
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  2. 2 Vyanzo
  3. PUBLISHED
  1. v1
  2. 1 Vyanzo
  3. PUBLISHED

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ScholarGateLinganisha mbinu: Maximum Variation Sampling · Respondent-Driven Sampling. Imepatikana 2026-06-17 kutoka https://scholargate.app/sw/compare