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TieteenalaKyselytutkimuksen metodologiaKyselytutkimuksen metodologia
MenetelmäperheProcess / pipelineProcess / pipeline
Syntyvuosi1953–19651953–1965 (formalized in survey sampling literature)
KehittäjäLeslie Kish; William G. CochranWilliam G. Cochran; Leslie Kish
TyyppiProbability sampling with weightingProbability sampling design
AlkuperäislähdeCochran, 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
Rinnakkaisnimetstratified sampling with weights, design-weighted stratified sampling, post-stratification weighting, WSSproportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling
Liittyvät66
TiivistelmäWeighted stratified sampling divides a population into non-overlapping strata and draws a probability sample from each stratum, then attaches a design weight to every selected unit so that estimates correctly represent the full population. Weights compensate for unequal selection probabilities that arise from disproportionate stratum allocations, non-response, or frame imperfections, making the procedure the backbone of most large-scale national and international surveys.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.
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ScholarGateVertaile menetelmiä: Weighted Stratified Sampling · Proportional Stratified Sampling. Haettu 2026-06-18 osoitteesta https://scholargate.app/fi/compare