Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Выборка типичных случаев× | Максимальная вариативность выборки× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1980s (systematized in Patton 1990/2002) | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) |
| Автор метода≠ | Michael Quinn Patton | Lincoln & Guba; systematised by 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 Publications. ISBN: 978-0761919711 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 |
| Другие названия | typical case selection, modal case sampling, representative case sampling, average case sampling | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling |
| Связанные | 5 | 5 |
| Сводка≠ | Typical case sampling is a purposive strategy in which the researcher deliberately selects cases that represent what is ordinary, normal, or most common within a target group. Rather than seeking outliers or the widest possible variation, the goal is to illustrate and communicate what a typical experience, program, or phenomenon looks like to stakeholders or audiences unfamiliar with it. The strategy is widely used in qualitative evaluation research and program reporting. | 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 ↗ |
|
|