Comparer des méthodes

	Échantillonnage stratifié proportionnel	Échantillonnage à plusieurs degrés
Domaine	Méthodologie d'enquête	Méthodologie d'enquête
Famille	Process / pipeline	Process / pipeline
Année d'origine	1953–1965 (formalized in survey sampling literature)	1950s–1960s (formalized in Kish 1965 and Cochran 1977)
Auteur d'origine	William G. Cochran; Leslie Kish	Leslie Kish; William G. Cochran
Type	Probability sampling design	Probability sampling design
Source fondatrice	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
Alias	proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling	multistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
Apparentées	6	5
Résumé	Proportional stratified sampling divides the target population into non-overlapping strata (subgroups defined by a key characteristic such as age band, region, or gender) and then draws a simple random sample from each stratum so that each stratum's share of the total sample matches its share of the total population. Because each subgroup is represented in exact proportion to its population weight, the resulting sample mirrors the population structure closely without requiring post-hoc weighting adjustments.	Multistage sampling is a probability-based design that selects a sample by working through two or more successive levels of a population hierarchy — for example, first selecting regions, then districts within those regions, then households within those districts. It makes large-scale surveys practical when a complete population list is unavailable or when the population is geographically dispersed, by concentrating fieldwork within a manageable number of sampled units at each stage.