Proportional Cluster Sampling
Proportional cluster sampling selects naturally occurring groups (clusters) from a population with probability proportional to each cluster's size, so that larger clusters have a higher chance of selection while every individual element retains an equal overall inclusion probability. This design efficiently handles large, geographically dispersed populations and is the backbone of national health, education, and social surveys worldwide.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. · ISBN 978-0471162407
- Kish, L. (1965). Survey Sampling. John Wiley & Sons. · ISBN 978-0471489009
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.