Comparer des méthodes

	Échantillonnage pilote multi-étapes	Échantillonnage en grappes
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	Mid-20th century onward	Early-to-mid 20th century; canonical treatment 1953/1977
Auteur d'origine	Survey methodology tradition; formalized in Kish (1965) and later survey practice literature	Formalized by William G. Cochran; roots in early 20th-century U.S. Census Bureau survey practice
Type	Probability sampling with pilot validation phase	Probability sampling design
Source fondatrice	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407
Alias	pilot MSS, multistage pilot sampling, trial multistage sampling, multistage sampling pilot test	cluster random sampling, area sampling, one-stage cluster sampling
Apparentées	5	5
Résumé	Pilot multistage sampling applies a small-scale trial run of a multistage sampling design before committing to the full fieldwork. The researcher draws a mini-version of the hierarchical sample — typically spanning the same stages (e.g., regions, then clusters, then individuals) — to test frame quality, stage-transition procedures, and variance estimates, then uses those findings to calibrate the main sampling plan.	Cluster sampling is a probability sampling technique in which the population is divided into naturally occurring groups (clusters), a random sample of clusters is selected, and all — or a random subset of — members within each selected cluster are studied. It is especially practical when a complete population list is unavailable or when units are geographically dispersed, making individual random selection prohibitively expensive. One-stage cluster sampling surveys every member of selected clusters; two-stage designs add a second random draw within clusters.