Method evidence record

Multi-level Cluster Sampling

Multi-level cluster sampling is a probability sampling design for hierarchically structured populations — such as students nested within classrooms within schools within districts. Clusters are randomly selected at each level of the hierarchy before individual units are sampled within the final-level clusters. The design mirrors the natural nesting of real-world populations and enables efficient large-scale data collection while supporting multilevel statistical analysis.

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Source record

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

Taxonomic method record · process-pipeline / survey-methodology

Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. · ISBN 978-0471162407
Snijders, T. A. B., & Bosker, R. J. (2012). Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modeling (2nd ed.). Sage. · ISBN 978-1849202008

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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 Cluster 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.