Process / pipelineSampling
Cluster Sampling
Cluster sampling is a probability sampling technique in which the population is divided into naturally occurring groups (clusters), a random sample of clusters is selected, and all — or a random subset of — members within each selected cluster are studied. It is especially practical when a complete population list is unavailable or when units are geographically dispersed, making individual random selection prohibitively expensive. One-stage cluster sampling surveys every member of selected clusters; two-stage designs add a second random draw within clusters.
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Sources
- Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407
- Cluster sampling. Wikipedia. link ↗
Related methods
Referenced by
Adaptive Cluster SamplingAdaptive Multistage SamplingDisproportional cluster samplingDisproportional Stratified SamplingDouble SamplingField-based cluster samplingField-based Multistage SamplingField-based Stratified SamplingField-based systematic samplingHierarchical Cross-Sectional ResearchHierarchical Descriptive ResearchHierarchical Exploratory Quantitative ResearchHierarchical Survey ResearchMulti-level Cluster SamplingMulti-level Convenience SamplingMulti-level Purposive SamplingMulti-level Stratified SamplingMulti-level weighted samplingMultistage SamplingOnline cluster samplingPilot Cluster SamplingPilot Multistage SamplingPragmatic Cross-Sectional Epidemiological StudyProportional Cluster SamplingProportional Multistage SamplingProportional Simple Random SamplingProportional Stratified SamplingProportional Systematic SamplingProportional Weighted SamplingQuota SamplingRanked Set SamplingSimple random samplingSpatial Stratified HeterogeneitySystematic SamplingWeighted SamplingWeighted Stratified Sampling