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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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Stratified and Cluster Sampling Designs

Taksonoomiline meetodikirje · process-pipeline / survey-methodology

Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. · ISBN 978-0-471-16240-7

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Used in the same domainSmall Area Estimationmachine-suggested · Relational suggestion, not evidence.Same method familySurvey Weightingmachine-suggested · Relational suggestion, not evidence.