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| Chọn Mẫu Có Chủ Đích Đa Cấp× | Lấy mẫu phân tầng× | |
|---|---|---|
| Lĩnh vực | Phương pháp luận khảo sát | Phương pháp luận khảo sát |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1980s–1990s | 1977 |
| Người khởi xướng≠ | Derived from Patton's purposive sampling framework; formalized in multi-site qualitative and mixed-methods research | William G. Cochran |
| Loại≠ | Non-probability sampling strategy | Probability-based survey sampling design |
| Công trình gốc≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. ISBN: 978-0761919711 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| Tên gọi khác | hierarchical purposive sampling, nested purposive sampling, multi-tier purposive sampling, multi-site purposive sampling | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| Liên quan≠ | 5 | 2 |
| Tóm tắt≠ | Multi-level purposive sampling applies purposive selection criteria at two or more nested levels of a research hierarchy — for instance, first selecting sites or organizations, then selecting participants within each site. This layered approach allows researchers to align the theoretical logic of purposive sampling with the real-world structure of complex, hierarchical populations, making it especially valuable in multi-site qualitative studies and mixed-methods research. | Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics. |
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