Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Полево семплиране с максимална вариация× | Клъстерна извадка, базирана на полеви условия× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1990 (Patton); field application established through ecological and ethnographic practice in the 1990s–2000s | 1950s (theory); 1970s–1980s (field survey practice) |
| Създател≠ | Michael Quinn Patton (maximum variation sampling); adapted for field research contexts | William G. Cochran (theoretical foundations); WHO EPI programme (field application) |
| Тип≠ | Purposive qualitative/mixed-methods sampling strategy | Probability sampling design |
| Основополагащ източник≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Maximum variation sampling discussed in Chapter 5] ISBN: 978-0761919711 | World Health Organization. (1991). Training for mid-level managers: The EPI coverage survey. WHO/EPI/MLM/91.10. World Health Organization. link ↗ |
| Други названия | field MVS, field-based purposeful maximum variation, maximum heterogeneity field sampling, diverse case field sampling | field cluster sampling, in-field cluster sampling, area cluster sampling (field), field survey cluster design |
| Свързани | 6 | 6 |
| Резюме≠ | Field-based maximum variation sampling is a purposive strategy in which a researcher deliberately selects field sites, ecological plots, communities, or observational units that span the widest possible range of relevant characteristics. By maximising heterogeneity among selected units, the approach ensures that both common patterns shared across diverse conditions and unique features specific to particular contexts are documented, making findings robust across a broad spectrum of real-world variation. | 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. |
| ScholarGateНабор от данни ↗ |
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