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Campionament Estratificat Proporcional×Mostreig Aleatori Simple×
CampMetodologia d'enquestesMetodologia d'enquestes
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1953–1965 (formalized in survey sampling literature)Early 20th century; systematized by Cochran 1953/1977
Autor originalWilliam G. Cochran; Leslie KishWilliam Gosset, Jerzy Neyman, and formalized by William Cochran
TipusProbability sampling designProbability sampling design
Font seminalCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Àliesproportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random samplingSRS, unrestricted random sampling, equal-probability sampling, EPSEM
Relacionats66
ResumProportional 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.Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.
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ScholarGateCompara mètodes: Proportional Stratified Sampling · Simple random sampling. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare