Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Многоуровневая выборка с максимальным варьированием× | Максимальная вариативность выборки× | |
|---|---|---|
| Область | Методология опросов | Методология опросов |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s | 1985 (Lincoln & Guba); elaborated 1990–2002 (Patton) |
| Автор метода≠ | Synthesized from Patton's maximum variation sampling (1990) and multi-level survey design traditions | Lincoln & Guba; systematised by Michael Quinn Patton |
| Тип≠ | Purposive qualitative/mixed-methods sampling design | Purposive qualitative sampling strategy |
| Основополагающий источник≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Chapter 5: Maximum variation sampling and purposeful sampling strategies] ISBN: 978-0761919711 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711 |
| Другие названия | hierarchical maximum variation sampling, nested maximum diversity sampling, multi-tier purposive variation sampling, MLMVS | maximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling |
| Связанные | 5 | 5 |
| Сводка≠ | Multi-level maximum variation sampling is a purposive strategy that deliberately selects cases at two or more nested organizational levels — such as schools within districts, or patients within clinics — while maximizing heterogeneity on key dimensions at each level. The aim is to capture the full range of variation within a hierarchically structured population so that patterns common across diverse contexts can be identified and context-specific differences can be documented with credibility. | 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 ↗ |
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