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ОбластьМетодология опросовМетодология опросов
СемействоProcess / pipelineProcess / pipeline
Год появленияMid-20th century onwardEarly 20th century; systematized by Cochran 1953/1977
Автор методаDeveloped within mainstream sampling methodology; no single originatorWilliam Gosset, Jerzy Neyman, and formalized by William Cochran
ТипNon-probability sampling with proportional allocation constraintProbability sampling design
Основополагающий источникEtikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 215–217. link ↗Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
Другие названияquota-constrained convenience sampling, representative convenience sampling, proportionate accidental sampling, PCSSRS, unrestricted random sampling, equal-probability sampling, EPSEM
Связанные46
СводкаProportional convenience sampling is a non-probability technique that recruits participants through convenience while constraining each subgroup's share in the final sample to match its known proportion in the target population. It trades pure random selection for feasibility, but partially compensates by ensuring the sample's compositional profile mirrors the population on one or more key variables such as gender, age group, or academic year.Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.
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ScholarGateСравнение методов: Proportional Convenience Sampling · Simple random sampling. Получено 2026-06-17 из https://scholargate.app/ru/compare