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উদ্দেশ্যমূলক নমুনায়ন×Respondent-Driven Sampling×
ক্ষেত্রজরিপ পদ্ধতিজরিপ পদ্ধতি
পরিবারProcess / pipelineProcess / pipeline
উদ্ভবের বছরFormalized ~1980–19901997
প্রবর্তকMichael Quinn Patton (systematic articulation); roots in early qualitative inquiryDouglas Heckathorn
ধরনNon-probability sampling strategyProbabilistic chain-referral sampling design
মৌলিক উৎসPatton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗
অপর নামjudgmental sampling, selective sampling, criterion-based sampling, purposeful samplingChain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme
সম্পর্কিত43
সারসংক্ষেপPurposive 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.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: Purposive sampling · Respondent-Driven Sampling. 2026-06-17 তারিখে সংগৃহীত, উৎস: https://scholargate.app/bn/compare