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Proportional Cluster Sampling/Evidence
Method evidence record

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.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Proportional Cluster Sampling (Probability Proportional to Size)
Taxonomic method record · process-pipeline / survey-methodology
  • 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
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketCluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultistage Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketProportional Stratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSimple random samplingmachine-suggested · Relational suggestion, not evidence.Same method familyStratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSystematic Samplingmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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