Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Veldgebaseerde clustersteekproeftrekking× | Enkelvoudige Aselecte Steekproeftrekking× | |
|---|---|---|
| Vakgebied | Surveymethodologie | Surveymethodologie |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 1950s (theory); 1970s–1980s (field survey practice) | Early 20th century; systematized by Cochran 1953/1977 |
| Grondlegger≠ | William G. Cochran (theoretical foundations); WHO EPI programme (field application) | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| Type | Probability sampling design | Probability sampling design |
| Oorspronkelijke bron≠ | 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.). John Wiley & Sons. ISBN: 978-0471162407 |
| Aliassen | field cluster sampling, in-field cluster sampling, area cluster sampling (field), field survey cluster design | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| Verwant | 6 | 6 |
| Samenvatting≠ | 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. | Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated. |
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