Sammenlign metoder

	Proportional Stratificeret Stikprøveudtagning	Disproportional Stratified Sampling
Fagområde	Surveymetodologi	Surveymetodologi
Familie	Process / pipeline	Process / pipeline
Oprindelsesår	1953–1965 (formalized in survey sampling literature)	1934
Ophavsperson	William G. Cochran; Leslie Kish	Jerzy Neyman
Type	Probability sampling design	Probability sampling design
Oprindelig kilde	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Aliasser	proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling	disproportionate stratified sampling, unequal-probability stratified sampling, oversampling stratified design, non-proportional stratified sampling
Relaterede	6	6
Resumé	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.	Disproportional stratified sampling divides the population into mutually exclusive strata and deliberately draws different proportions from each stratum — oversampling small or analytically important subgroups and undersampling large ones. Post-hoc weighting restores population-level representativeness when overall estimates are needed. First formalised by Jerzy Neyman in 1934, it is the standard approach when subgroup-level precision matters as much as total-population estimates.