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Échantillonnage de convenance sur le terrain×Échantillonnage systématique×
DomaineMéthodologie d'enquêteMéthodologie d'enquête
FamilleProcess / pipelineProcess / pipeline
Année d'origineMid-20th century onwardMid-20th century (Cochran 1953; Kish 1965)
Auteur d'origineConventional practice in social and epidemiological field researchWilliam G. Cochran; formalized in survey sampling theory
TypeNon-probability samplingProbability sampling design
Source fondatriceBabbie, E. (2010). The Practice of Social Research (12th ed.). Wadsworth Cengage Learning. ISBN: 978-0495598428Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Aliasintercept sampling, on-site convenience sampling, street intercept sampling, field intercept surveyinterval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
Apparentées45
RésuméField-based convenience sampling is a non-probability technique in which researchers recruit participants by approaching whoever is physically present and accessible at a chosen real-world location — a market, hospital waiting room, park, or transit hub. It is widely used in public health surveillance, marketing research, and exploratory social surveys when rapid, low-cost data collection is needed and probability sampling is not feasible.Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Field-based convenience sampling · Systematic Sampling. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare