Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Пилотная выборка по отклоняющимся случаям× | Целенаправленная выборка× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2002 (Patton codification); pilot study tradition mid-20th century | Formalized ~1980–1990 |
| Автор метода≠ | Patton (deviant case sampling); pilot study methodology attributed broadly to pre-main-study practice traditions | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry |
| Тип≠ | Purposive sampling variant applied in pilot phase | Non-probability sampling strategy |
| Основополагающий источник≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Chapter 5: Sampling Strategies, pp. 230–246 on deviant/extreme case sampling] ISBN: 978-0761919711 | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 |
| Другие названия | pilot extreme case sampling, pilot outlier sampling, pilot atypical case sampling, pilot deviant-case pilot sampling | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling |
| Связанные≠ | 2 | 4 |
| Сводка≠ | Pilot deviant case sampling is a purposive sampling strategy applied during a pilot phase in which participants are deliberately selected because they represent extreme, unusual, or atypical instances of the phenomenon under study. Rather than seeking representative participants for the pilot run, the researcher intentionally recruits outlier cases to probe the boundaries of research instruments, interview guides, or data collection protocols before the main study begins. | 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. |
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