方法对比
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| 加权滚雪球抽样× | 加权抽样× | |
|---|---|---|
| 领域 | 调查方法论 | 调查方法论 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1997 | 1940s–1952 (formalized in large-scale government survey work and the Horvitz-Thompson estimator) |
| 提出者≠ | Douglas D. Heckathorn (formal probability-weighted variant) | Morris H. Hansen, William N. Hurwitz; D. G. Horvitz and D. J. Thompson (theoretical framework) |
| 类型≠ | Probability-adjusted chain-referral sampling | Probability sampling design |
| 开创性文献≠ | Heckathorn, D. D. (1997). Respondent-driven sampling: A new approach to the study of hidden populations. Social Problems, 44(2), 174–199. DOI ↗ | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 别名 | weight-adjusted chain-referral sampling, probability-weighted snowball sampling, WSS, weighted referral sampling | probability proportional to size sampling, PPS sampling, unequal probability sampling, importance sampling |
| 相关≠ | 5 | 6 |
| 摘要≠ | Weighted snowball sampling is a chain-referral technique in which participants recruit peers from a hidden or hard-to-reach population, and differential inclusion probabilities are estimated and corrected through statistical weights. Unlike basic snowball sampling, the weighting step allows approximately unbiased population estimates, bridging the gap between convenience-driven recruitment and probability-based inference. | Weighted sampling is a probability-based design in which units are selected with unequal probabilities proportional to a known auxiliary measure of size or importance. Sampling weights — the inverse of inclusion probabilities — are applied during analysis so that each sampled unit correctly represents the population units it stands for. The approach underpins large-scale government, health, and social surveys where simple random sampling would be inefficient. |
| ScholarGate数据集 ↗ |
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