Porovnat metody

	Online systematické vzorkování	Online cluster sampling
Obor	Metodologie dotazníkových šetření	Metodologie dotazníkových šetření
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	Late 1990s–2000s (web survey era)	Late 1990s–2000s (as internet surveys became prevalent)
Tvůrce	Adapted from classical systematic sampling (Madow & Madow, 1944) for web survey contexts	Adapted from cluster sampling (Mahalanobis, Hansen & Hurwitz, 1940s) to online survey contexts
Typ	Probability sampling design	Probability sampling technique
Původní zdroj	Couper, M. P. (2008). Designing Effective Web Surveys. Cambridge University Press. ISBN: 978-0521713528	Couper, M. P. (2000). Web surveys: A review of issues and approaches. Public Opinion Quarterly, 64(4), 464–494.
Další názvy	web systematic sampling, digital systematic sampling, interval sampling online, e-survey systematic sampling	internet cluster sampling, web cluster sampling, digital cluster sampling
Příbuzné	4	4
Shrnutí	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.	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.