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Krahasoni metodat

Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.

Kampimtarja e grumbulluar disproporcional×Mostrat me shumë faza×
FushaMetodologjia e anketaveMetodologjia e anketave
FamiljaProcess / pipelineProcess / pipeline
Viti i origjinësMid-20th century (formalised 1950s–1965)1950s–1960s (formalized in Kish 1965 and Cochran 1977)
KrijuesiLeslie Kish; William G. CochranLeslie Kish; William G. Cochran
LlojiProbability sampling designProbability sampling design
Burimi themeluesKish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471489009Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
Emërtime të tjeradisproportionate cluster sampling, unequal-probability cluster sampling, variable-rate cluster sampling, non-proportional cluster samplingmultistage cluster sampling, multi-stage sampling, nested sampling, hierarchical sampling
Të lidhura65
PërmbledhjaDisproportional cluster sampling is a probability-based survey design in which naturally occurring groups (clusters) are selected as primary sampling units, but the number of clusters or elements drawn from each group is not proportional to that group's share of the population. By deliberately over- or under-sampling certain clusters, researchers gain analytic flexibility and precision where it matters most, at the cost of requiring post-hoc weighting for population-level inference.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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ScholarGateKrahasoni metodat: Disproportional cluster sampling · Multistage Sampling. Marrë më 2026-06-18 nga https://scholargate.app/sq/compare