Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Muestreo Sistemático Basado en Campo× | Muestreo por conglomerados× | |
|---|---|---|
| Campo | Metodología de encuestas | Metodología de encuestas |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970s | Early-to-mid 20th century; canonical treatment 1953/1977 |
| Autor original≠ | 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 |
| Tipo | Probability sampling design | Probability sampling design |
| Fuente seminal≠ | 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 |
| Alias | systematic field sampling, grid-based field sampling, regular interval field sampling | cluster random sampling, area sampling, one-stage cluster sampling |
| Relacionados≠ | 6 | 5 |
| Resumen≠ | 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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