Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Пилотная выборка по отклоняющимся случаям× | Отбор по отклоняющимся случаям× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2002 (Patton codification); pilot study tradition mid-20th century | 1990 |
| Автор метода≠ | Patton (deviant case sampling); pilot study methodology attributed broadly to pre-main-study practice traditions | Michael Quinn Patton |
| Тип≠ | Purposive sampling variant applied in pilot phase | Purposive qualitative 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. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 |
| Другие названия | pilot extreme case sampling, pilot outlier sampling, pilot atypical case sampling, pilot deviant-case pilot sampling | extreme case sampling, outlier sampling, negative case sampling, deviant-case selection |
| Связанные≠ | 2 | 5 |
| 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. | Deviant case sampling is a purposive qualitative sampling strategy in which the researcher intentionally selects cases that are unusual, exceptional, or markedly different from the norm — outliers, extreme successes, or conspicuous failures. The goal is not statistical representation but deep learning from cases that illuminate the boundaries of a phenomenon, challenge prevailing assumptions, or reveal processes that typical cases obscure. |
| ScholarGateНабор данных ↗ |
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