Process / pipelineSampling
Multistage Sampling — Multistage Cluster Sampling
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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Sources
- Kish, L. (1965). Survey Sampling. John Wiley & Sons. ISBN: 978-0471109495
- Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Related methods
Referenced by
Adaptive Cluster SamplingAdaptive Multistage SamplingAdaptive Simple Random SamplingAdaptive Stratified SamplingAdaptive Weighted SamplingCluster SamplingDisproportional cluster samplingDisproportional Stratified SamplingField-based cluster samplingField-based Multistage SamplingField-based Stratified SamplingField-based systematic samplingMulti-level Cluster SamplingMulti-level Convenience SamplingMulti-level Maximum Variation SamplingMulti-level Purposive SamplingMulti-level Stratified SamplingMulti-level Typical Case SamplingMulti-level weighted samplingOnline cluster samplingPilot Cluster SamplingPilot Multistage SamplingPilot Weighted SamplingProportional Cluster SamplingProportional Multistage SamplingProportional Stratified SamplingProportional Systematic SamplingProportional Weighted SamplingSimple random samplingSystematic SamplingWeighted SamplingWeighted Stratified SamplingWeighted Systematic Sampling