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المجالمنهجية المسحمنهجية المسح
العائلةProcess / pipelineProcess / pipeline
سنة النشأة1950s-1970s (cluster sampling); multilevel extension formalized 1980s-1990s1950s–1960s
صاحب الطريقةW. G. Cochran (cluster sampling foundations); extended into multilevel contexts by survey methodologistsFormalized by William G. Cochran and Leslie Kish
النوعProbability sampling designProbability sampling design
المصدر التأسيسيCochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
الأسماء البديلةhierarchical cluster sampling, nested cluster sampling, multi-stage cluster sampling, clustered multilevel samplingPPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size sampling
ذات صلة66
الملخصMulti-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.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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ScholarGateقارن الطرق: Multi-level Cluster Sampling · Proportional Cluster Sampling. استُرجع بتاريخ 2026-06-17 من https://scholargate.app/ar/compare