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نمونه‌گیری خوشه‌ای تناسبی×نمونه‌گیری نظام‌مند×
حوزهروش‌شناسی پیمایشروش‌شناسی پیمایش
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1950s–1960sMid-20th century (Cochran 1953; Kish 1965)
پدیدآورFormalized by William G. Cochran and Leslie KishWilliam G. Cochran; formalized in survey sampling theory
نوعProbability sampling designProbability sampling design
منبع بنیادینCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
نام‌های دیگرPPS cluster sampling, proportional-to-size cluster sampling, size-proportional cluster sampling, probability proportional to size samplinginterval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
مرتبط65
خلاصهProportional 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.Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.
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ScholarGateمقایسهٔ روش‌ها: Proportional Cluster Sampling · Systematic Sampling. بازیابی‌شده در 2026-06-15 از https://scholargate.app/fa/compare