Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Максимальная вариативность выборки× | Отбор по отклоняющимся случаям× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) | 1990 |
| Автор метода≠ | Lincoln & Guba; systematised by Michael Quinn Patton | Michael Quinn Patton |
| Тип | Purposive qualitative sampling strategy | Purposive qualitative sampling strategy |
| Основополагающий источник≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 |
| Другие названия | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling | extreme case sampling, outlier sampling, negative case sampling, deviant-case selection |
| Связанные | 5 | 5 |
| Сводка≠ | 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. | 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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