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| Δειγματοληψία Πεδίου× | Στρωματοποιημένη Δειγματοληψία× | |
|---|---|---|
| Πεδίο | Μεθοδολογία Επισκοπήσεων | Μεθοδολογία Επισκοπήσεων |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970s | 1977 |
| Δημιουργός≠ | William G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literature | William G. Cochran |
| Τύπος≠ | Probability sampling design | Probability-based survey sampling design |
| Θεμελιώδης πηγή≠ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| Εναλλακτικές ονομασίες≠ | systematic field sampling, grid-based field sampling, regular interval field sampling | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| Συναφείς≠ | 6 | 2 |
| Σύνοψη≠ | 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. | Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics. |
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