विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| क्षेत्र-आधारित व्यवस्थित प्रतिचयन× | क्लस्टर सैंपलिंग (Cluster Sampling)× | |
|---|---|---|
| क्षेत्र | सर्वेक्षण पद्धति | सर्वेक्षण पद्धति |
| परिवार | Process / pipeline | Process / pipeline |
| उद्भव वर्ष≠ | 1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970s | Early-to-mid 20th century; canonical treatment 1953/1977 |
| प्रवर्तक≠ | William G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literature | Formalized by William G. Cochran; roots in early 20th-century U.S. Census Bureau survey practice |
| प्रकार | Probability sampling design | Probability sampling design |
| मौलिक स्रोत≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 |
| उपनाम | systematic field sampling, grid-based field sampling, regular interval field sampling | cluster random sampling, area sampling, one-stage cluster sampling |
| संबंधित≠ | 6 | 5 |
| सारांश≠ | Field-based systematic sampling applies systematic (regular-interval) selection to real-world field environments — plots of land, transects, geographic grids, or physical survey routes. A random starting point is chosen, then every k-th unit or location is sampled at equal spatial or sequential intervals. Widely used in ecology, agriculture, environmental science, and field surveys, it delivers spatially even coverage at low operational cost while maintaining probability-sampling properties. | Cluster sampling is a probability sampling technique in which the population is divided into naturally occurring groups (clusters), a random sample of clusters is selected, and all — or a random subset of — members within each selected cluster are studied. It is especially practical when a complete population list is unavailable or when units are geographically dispersed, making individual random selection prohibitively expensive. One-stage cluster sampling surveys every member of selected clusters; two-stage designs add a second random draw within clusters. |
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