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ОбластМетодология на проучваниятаМетодология на проучванията
СемействоProcess / pipelineProcess / pipeline
Година на възникванеLate 1990s–2000s (digital adaptation)Late 1990s–2000s (as internet surveys became prevalent)
СъздателAdapted 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
ТипProbability sampling designProbability sampling technique
Основополагащ източникCouper, 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 ↗
Други названияweb simple random sampling, internet SRS, digital random sampling, online SRSinternet cluster sampling, web cluster sampling, digital cluster sampling
Свързани54
РезюмеOnline 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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  2. 2 Източници
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ScholarGateСравнение на методи: Online simple random sampling · Online cluster sampling. Извлечено на 2026-06-17 от https://scholargate.app/bg/compare