Process / pipelineSampling design
Stratified Sampling
Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.
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Sources
- Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
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Referenced by
Adaptive Cluster SamplingAdaptive Quota SamplingAdaptive SamplingAdaptive Simple Random SamplingAdaptive Stratified SamplingAdaptive Weighted SamplingCluster SamplingDisproportional Stratified SamplingDouble SamplingField-based cluster samplingField-based Multistage SamplingField-based Stratified SamplingField-based systematic samplingHierarchical Descriptive ResearchImportance SamplingMaximum Variation SamplingMulti-level Cluster SamplingMulti-level Maximum Variation SamplingMulti-level Purposive SamplingMulti-level Stratified SamplingMulti-level weighted samplingMultistage SamplingOnline simple random samplingPilot Multistage SamplingProportional Cluster SamplingProportional Multistage SamplingProportional Simple Random SamplingProportional Stratified SamplingProportional Systematic SamplingProportional Weighted SamplingQuota SamplingRanked Set SamplingRespondent-Driven SamplingSimple random samplingSpatial Stratified HeterogeneitySurvey WeightingSystematic SamplingTypical Case SamplingWeighted Quota SamplingWeighted SamplingWeighted Stratified SamplingWeighted Systematic SamplingWeighted Typical Case Sampling