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ΠεδίοΜεθοδολογία ΕπισκοπήσεωνΜεθοδολογία Επισκοπήσεων
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1950s-1970s (cluster sampling); multilevel extension formalized 1980s-1990sEarly-to-mid 20th century; canonical treatment 1953/1977
ΔημιουργόςW. G. Cochran (cluster sampling foundations); extended into multilevel contexts by survey methodologistsFormalized by William G. Cochran; roots in early 20th-century U.S. Census Bureau survey practice
ΤύποςProbability sampling designProbability sampling design
Θεμελιώδης πηγήCochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407
Εναλλακτικές ονομασίεςhierarchical cluster sampling, nested cluster sampling, multi-stage cluster sampling, clustered multilevel samplingcluster random sampling, area sampling, one-stage cluster sampling
Συναφείς65
ΣύνοψηMulti-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.Cluster sampling is a probability sampling technique in which the population is divided into naturally occurring groups (clusters), a random sample of clusters is selected, and all — or a random subset of — members within each selected cluster are studied. It is especially practical when a complete population list is unavailable or when units are geographically dispersed, making individual random selection prohibitively expensive. One-stage cluster sampling surveys every member of selected clusters; two-stage designs add a second random draw within clusters.
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ScholarGateΣύγκριση μεθόδων: Multi-level Cluster Sampling · Cluster Sampling. Ανακτήθηκε στις 2026-06-15 από https://scholargate.app/el/compare