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方法族Process / pipelineProcess / pipeline
起源年份Late 1990s–2000s (digital adaptation)Late 1990s–2000s (as internet surveys became prevalent)
提出者Adapted from classical simple random sampling (Neyman, 1934) for web/digital survey contexts; operationalised by survey methodology researchers from the late 1990s onwardAdapted from cluster sampling (Mahalanobis, Hansen & Hurwitz, 1940s) to online survey contexts
类型Probability sampling designProbability sampling technique
开创性文献Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521700535Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494. DOI ↗
别名web simple random sampling, internet SRS, digital random sampling, online SRSinternet cluster sampling, web cluster sampling, digital cluster sampling
相关54
摘要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.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.
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ScholarGate方法对比: Online simple random sampling · Online cluster sampling. 于 2026-06-17 检索自 https://scholargate.app/zh/compare