Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Целенаправленный отбор проб на основе анализа чувствительности× | Целенаправленная выборка× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s | Formalized ~1980–1990 |
| Автор метода≠ | Rooted in Patton's purposive sampling typology; sensitivity analysis practices formalized in research synthesis literature | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry |
| Тип≠ | Purposive qualitative sampling with robustness verification | Non-probability sampling strategy |
| Основополагающий источник≠ | Patton, M. Q. (2015). Qualitative Research and Evaluation Methods (4th ed.). Sage Publications. ISBN: 978-1412972123 | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 |
| Другие названия≠ | purposive sampling with sensitivity checks, robust purposive sampling, sensitivity-tested purposive selection | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling |
| Связанные≠ | 5 | 4 |
| 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. | Purposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work. |
| ScholarGateНабор данных ↗ |
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