Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Vážené vzorkování typických případů× | Maximální výběrové zkoušení× | |
|---|---|---|
| Obor | Metodologie dotazníkových šetření | Metodologie dotazníkových šetření |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1990s–2000s (as a mixed-methods extension) | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) |
| Tvůrce≠ | Derived from Patton's typical case sampling (1990) combined with classical survey weighting principles | Lincoln & Guba; systematised by Michael Quinn Patton |
| Typ≠ | Purposive sampling with probability weighting | Purposive qualitative sampling strategy |
| Původní zdroj≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. pp. 236–238 (typical case sampling). ISBN: 978-0761919711 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 |
| Další názvy | weighted purposive typical sampling, probability-weighted typical case selection, typical case sampling with weighting, weighted representative case sampling | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling |
| Příbuzné≠ | 6 | 5 |
| Shrnutí≠ | Weighted typical case sampling combines the purposive logic of typical case selection — choosing cases that represent the modal, average, or most common profile of a population — with post-selection probability weighting. The result is a sample that is both substantively representative (cases reflect the norm) and statistically corrected for differential selection probabilities or population structure. It is used in mixed-methods and survey research where depth of typical examples matters alongside inferential accuracy. | 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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