ScholarGate
助手

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×在线简单随机抽样×
领域调查方法论调查方法论
方法族Process / pipelineProcess / pipeline
起源年份Late 1990s–2000s (as internet surveys became prevalent)Late 1990s–2000s (digital adaptation)
提出者Adapted from cluster sampling (Mahalanobis, Hansen & Hurwitz, 1940s) to online survey contextsAdapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onward
类型Probability sampling techniqueProbability 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 ↗Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535
别名internet cluster sampling, web cluster sampling, digital cluster samplingweb simple random sampling, internet SRS, digital random sampling, online SRS
相关45
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.Online simple random sampling applies the logic of classical simple random sampling (SRS) to digital data collection: every member of a defined online population has an equal and independent probability of being selected, and the survey is administered via web platform, email link, or online panel. The approach combines the statistical rigour of probability sampling with the speed and cost advantages of internet-based survey delivery.
ScholarGate数据集
  1. v1
  2. 2 来源
  3. PUBLISHED
  1. v1
  2. 2 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: Online cluster sampling · Online simple random sampling. 于 2026-06-17 检索自 https://scholargate.app/zh/compare