方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 在线整群抽样× | 多阶段抽样× | |
|---|---|---|
| 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 (as internet surveys became prevalent) | 1950s–1960s (formalized in Kish 1965 and Cochran 1977) |
| 提出者≠ | Adapted from cluster sampling (Mahalanobis, Hansen & Hurwitz, 1940s) to online survey contexts | Leslie Kish; William G. Cochran |
| 类型≠ | Probability sampling technique | Probability sampling design |
| 开创性文献≠ | Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494. DOI ↗ | Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495 |
| 别名≠ | internet cluster sampling, web cluster sampling, digital cluster sampling | multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling |
| 相关≠ | 4 | 5 |
| 摘要≠ | Online cluster sampling applies the classic cluster sampling logic to internet-based research: naturally occurring digital groups — such as online communities, email lists, forum memberships, or institutional user registries — serve as clusters, and selected clusters are surveyed in full or partially via web-based instruments. It offers a practical route to probability-based online samples when no complete list of individuals exists but lists of digital groups are accessible. | Multistage sampling is a probability-based design that selects a sample by working through two or more successive levels of a population hierarchy — for example, first selecting regions, then districts within those regions, then households within those districts. It makes large-scale surveys practical when a complete population list is unavailable or when the population is geographically dispersed, by concentrating fieldwork within a manageable number of sampled units at each stage. |
| ScholarGate数据集 ↗ |
|
|