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Viktad stratifierad sampling×Flerstegsutv"al - Flerstegs klusterurval×
ÄmnesområdeSurveymetodikSurveymetodik
FamiljProcess / pipelineProcess / pipeline
Ursprungsår1953–19651950s–1960s (formalized in Kish 1965 and Cochran 1977)
UpphovspersonLeslie Kish; William G. CochranLeslie Kish; William G. Cochran
TypProbability sampling with weightingProbability sampling design
UrsprungskällaCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
Aliasstratified sampling with weights, design-weighted stratified sampling, post-stratification weighting, WSSmultistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
Närliggande65
SammanfattningWeighted 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.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.
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ScholarGateJämför metoder: Weighted Stratified Sampling · Multistage Sampling. Hämtad 2026-06-17 från https://scholargate.app/sv/compare