Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Terénní výběrové shlukování× | Náhodný výběr shluků× | |
|---|---|---|
| Obor | Metodologie dotazníkových šetření | Metodologie dotazníkových šetření |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1950s (theory); 1970s–1980s (field survey practice) | Early-to-mid 20th century; canonical treatment 1953/1977 |
| Tvůrce≠ | William G. Cochran (theoretical foundations); WHO EPI programme (field application) | Formalized by William G. Cochran; roots in early 20th-century U.S. Census Bureau survey practice |
| Typ | Probability sampling design | Probability sampling design |
| Původní zdroj≠ | World Health Organization. (1991). Training for mid-level managers: The EPI coverage survey. WHO/EPI/MLM/91.10. World Health Organization. link ↗ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407 |
| Další názvy≠ | field cluster sampling, in-field cluster sampling, area cluster sampling (field), field survey cluster design | cluster random sampling, area sampling, one-stage cluster sampling |
| Příbuzné≠ | 6 | 5 |
| Shrnutí≠ | Field-based cluster sampling is a probability sampling method in which naturally occurring geographic or administrative groups (clusters) are first randomly selected, and then data are collected in person from units within those clusters. It is the standard design for large-scale field surveys in public health, agriculture, education, and humanitarian response, where compiling a full population list is impractical but clusters such as villages, schools, or census tracts can be identified and physically accessed. | 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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