Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Eșantionare sistematică bazată pe teren× | Eșantionare Sistematică× | |
|---|---|---|
| Domeniu | Metodologia anchetelor | Metodologia anchetelor |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970s | Mid-20th century (Cochran 1953; Kish 1965) |
| Autorul original≠ | William G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literature | William G. Cochran; formalized in survey sampling theory |
| Tip | Probability sampling design | Probability sampling design |
| Sursa seminală | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Denumiri alternative≠ | systematic field sampling, grid-based field sampling, regular interval field sampling | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| Înrudite≠ | 6 | 5 |
| Rezumat≠ | 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. | Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity. |
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