Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Mostra de màxima variació basada en el camp× | Mostra de Variació Màxima× | |
|---|---|---|
| Camp | Metodologia d'enquestes | Metodologia d'enquestes |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 1990 (Patton); field application established through ecological and ethnographic practice in the 1990s–2000s | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) |
| Autor original≠ | Michael Quinn Patton (maximum variation sampling); adapted for field research contexts | Lincoln & Guba; systematised by Michael Quinn Patton |
| Tipus≠ | Purposive qualitative/mixed-methods sampling strategy | Purposive qualitative sampling strategy |
| Font seminal≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Maximum variation sampling discussed in Chapter 5] ISBN: 978-0761919711 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 |
| Àlies | field MVS, field-based purposeful maximum variation, maximum heterogeneity field sampling, diverse case field sampling | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling |
| Relacionats≠ | 6 | 5 |
| Resum≠ | 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. | Maximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation. |
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