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সর্বোচ্চ বৈচিত্র্য নমুনায়ন×Respondent-Driven Sampling×
ক্ষেত্রজরিপ পদ্ধতিজরিপ পদ্ধতি
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছর1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)1997
প্রবর্তকLincoln & Guba; systematised by Michael Quinn PattonDouglas Heckathorn
ধরনPurposive qualitative sampling strategyProbabilistic chain-referral sampling design
মৌলিক উৎসPatton, 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 ↗
অপর নামmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous samplingChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme
সম্পর্কিত53
সারসংক্ষেপMaximum 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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ScholarGateপদ্ধতির তুলনা করুন: Maximum Variation Sampling · Respondent-Driven Sampling. 2026-06-17 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare