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| Chọn mẫu có chủ đích theo tỷ lệ× | Chọn mẫu phân tầng tỷ lệ× | |
|---|---|---|
| Lĩnh vực | Phương pháp luận khảo sát | Phương pháp luận khảo sát |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1980s–2000s | 1953–1965 (formalized in survey sampling literature) |
| Người khởi xướng≠ | Derived from purposive sampling tradition (Patton); formalized in mixed-methods literature | William G. Cochran; Leslie Kish |
| Loại≠ | Non-probability sampling with proportional allocation | Probability sampling design |
| Công trình gốc≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Tên gọi khác≠ | proportional criterion sampling, quota-proportional purposive sampling, representational purposive sampling | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling |
| Liên quan≠ | 4 | 6 |
| Tóm tắt≠ | Proportional purposive sampling combines the intentional case selection of purposive sampling with proportional allocation across subgroups. Researchers first determine how each meaningful subgroup (e.g., gender, school type, professional role) is represented in the population, then deliberately select participants from each subgroup in those same proportions — using purposive judgment to ensure each selected case is information-rich and relevant to the research question. | Proportional stratified sampling divides the target population into non-overlapping strata (subgroups defined by a key characteristic such as age band, region, or gender) and then draws a simple random sample from each stratum so that each stratum's share of the total sample matches its share of the total population. Because each subgroup is represented in exact proportion to its population weight, the resulting sample mirrors the population structure closely without requiring post-hoc weighting adjustments. |
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