Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Целенаправленный отбор проб на основе анализа чувствительности× | Максимальная вариативность выборки× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) |
| Автор метода≠ | Rooted in Patton's purposive sampling typology; sensitivity analysis practices formalized in research synthesis literature | Lincoln & Guba; systematised by Michael Quinn Patton |
| Тип≠ | Purposive qualitative sampling with robustness verification | Purposive qualitative sampling strategy |
| Основополагающий источник≠ | Patton, M. Q. (2015). Qualitative Research and Evaluation Methods (4th ed.). Sage Publications. ISBN: 978-1412972123 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 |
| Другие названия≠ | purposive sampling with sensitivity checks, robust purposive sampling, sensitivity-tested purposive selection | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling |
| Связанные | 5 | 5 |
| Сводка≠ | Sensitivity analysis-based purposive sampling extends conventional purposive sampling by systematically testing whether key findings or case-selection decisions change when the inclusion criteria, selection logic, or boundary conditions are altered. It applies the logic of sensitivity analysis — standard in quantitative research and systematic reviews — to qualitative case selection, giving researchers explicit evidence of how robust their purposive choices are to plausible alternative selection rules. | 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. |
| ScholarGateНабор данных ↗ |
|
|