方法对比
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| 在线系统抽样× | 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≠ | Late 1990s–2000s (web survey era) | Mid-20th century (Cochran 1953; Kish 1965) |
| 提出者≠ | Adapted from classical systematic sampling (Madow & Madow, 1944) for web survey contexts | William G. Cochran; formalized in survey sampling theory |
| 类型 | Probability sampling design | Probability sampling design |
| 开创性文献≠ | Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521713528 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| 别名 | web systematic sampling, digital systematic sampling, interval sampling online, e-survey systematic sampling | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| 相关≠ | 4 | 5 |
| 摘要≠ | Online systematic sampling applies the classical every-k-th-element rule to digital survey contexts — selecting respondents from a web panel, membership database, or visitor stream at a fixed interval. It combines the operational simplicity of systematic sampling with the reach and speed of online data collection, producing a roughly representative sample without requiring complex randomisation infrastructure. | 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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