विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| अधिकतम भिन्नता नमूनाकरण× | प्रतिभागी-प्रेरित नमूनाकरण (Respondent-Driven Sampling)× | |
|---|---|---|
| क्षेत्र | सर्वेक्षण पद्धति | सर्वेक्षण पद्धति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) | 1997 |
| प्रवर्तक≠ | Lincoln & Guba; systematised by Michael Quinn Patton | Douglas Heckathorn |
| प्रकार≠ | Purposive qualitative sampling strategy | Probabilistic chain-referral sampling design |
| मौलिक स्रोत≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 | Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗ |
| उपनाम | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling | Chain-Referral Sampling, Peer-Referral Sampling, Network-Based Sampling, Katılımcı Güdümlü Örnekleme |
| संबंधित≠ | 5 | 3 |
| सारांश≠ | Maximum 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. |
| ScholarGateडेटासेट ↗ |
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