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| Lấy mẫu hạn ngạch có trọng số× | Lấy mẫu ngẫu nhiên đơn giản× | |
|---|---|---|
| Lĩnh vực | Phương pháp luận khảo sát | Phương pháp luận khảo sát |
| Họ | Process / pipeline | Process / pipeline |
| Năm ra đời≠ | Mid-to-late 20th century | Early 20th century; systematized by Cochran 1953/1977 |
| Người khởi xướng≠ | Derived from quota sampling (mid-20th century market research) combined with survey weighting theory (Kalton, 1983) | William Gosset, Jerzy Neyman, and formalized by William Cochran |
| Loại≠ | Non-probability sampling with post-collection weight adjustment | Probability sampling design |
| Công trình gốc≠ | Kalton, G. (1983). Introduction to Survey Sampling. Sage Publications. ISBN: 978-0803921290 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Tên gọi khác | quota sampling with weighting, weighted quota survey, post-weighted quota sampling, quota sample weighting | SRS, unrestricted random sampling, equal-probability sampling, EPSEM |
| Liên quan≠ | 5 | 6 |
| Tóm tắt≠ | Weighted quota sampling combines quota sampling — recruiting a set number of respondents matching pre-specified demographic cells — with post-collection statistical weighting that adjusts each respondent's contribution to match known population proportions. The result is a non-probability design with a bias-correction mechanism, widely used in market research, political polling, and applied social surveys when probability sampling is impractical but representativeness remains a goal. | Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated. |
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