方法对比
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| 多层便利抽样× | 目的性抽样× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1980s–1990s (concurrent with multilevel modeling development) | Formalized ~1980–1990 |
| 提出者≠ | Emerged from multilevel/hierarchical research traditions | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry |
| 类型≠ | Non-probability sampling design | Non-probability sampling strategy |
| 开创性文献≠ | Hox, J. J. (2010). Multilevel Analysis: Techniques and Applications (2nd ed.). Routledge. ISBN: 978-1848728462 | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 |
| 别名 | hierarchical convenience sampling, nested convenience sampling, multilevel accessibility sampling, multi-tier convenience sampling | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling |
| 相关≠ | 5 | 4 |
| 摘要≠ | Multi-level convenience sampling is a non-probability approach in which units are selected by convenience at each of two or more nested levels of a hierarchy — for example, recruiting whatever schools agree to participate and then enrolling all available students within those schools. It is widely used in organizational, educational, and health research where the researcher has limited control over access but must respect the nested structure of the population. | 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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