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| 加权配额抽样× | 系统抽样× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | Mid-to-late 20th century | Mid-20th century (Cochran 1953; Kish 1965) |
| 提出者≠ | Derived from quota sampling (mid-20th century market research) combined with survey weighting theory (Kalton, 1983) | William G. Cochran; formalized in survey sampling theory |
| 类型≠ | Non-probability sampling with post-collection weight adjustment | Probability sampling design |
| 开创性文献≠ | 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 |
| 别名 | quota sampling with weighting, weighted quota survey, post-weighted quota sampling, quota sample weighting | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| 相关 | 5 | 5 |
| 摘要≠ | 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. | 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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