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| Lấy mẫu cụm theo tỷ lệ× | Lấy mẫu có hệ thống× | |
|---|---|---|
| Lĩnh vực | Phương pháp luận khảo sát | Phương pháp luận khảo sát |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | 1950s–1960s | Mid-20th century (Cochran 1953; Kish 1965) |
| Người khởi xướng≠ | Formalized by William G. Cochran and Leslie Kish | William G. Cochran; formalized in survey sampling theory |
| Loại | Probability sampling design | Probability sampling design |
| Công trình gốc | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Tên gọi khác | PPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size sampling | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| Liên quan≠ | 6 | 5 |
| Tóm tắt≠ | Proportional cluster sampling selects naturally occurring groups (clusters) from a population with probability proportional to each cluster's size, so that larger clusters have a higher chance of selection while every individual element retains an equal overall inclusion probability. This design efficiently handles large, geographically dispersed populations and is the backbone of national health, education, and social surveys worldwide. | Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity. |
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