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DziedzinaMetodologia badań sondażowychMetodologia badań sondażowych
RodzinaProcess / pipelineProcess / pipeline
Rok powstania1930s1977
TwórcaDeveloped in market research and opinion polling, notably applied by George Gallup in the 1930sWilliam G. Cochran
TypNon-probability sampling designProbability-based survey sampling design
Źródło pierwotneMoser, C. A., & Kalton, G. (1972). Survey Methods in Social Investigation (2nd ed.). Heinemann. ISBN: 978-0435827496Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Inne nazwyquota-controlled sampling, quota selection, non-probability quota samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Pokrewne52
PodsumowanieQuota sampling is a non-probability technique in which the researcher pre-specifies how many units to recruit from each subgroup (quota cell) defined by one or more control variables such as age, gender, or occupation. Interviewers or data collectors then use their own judgment to find and enroll participants until each cell is filled. The method guarantees the sample mirrors the population on the control variables but does not provide the randomness needed for classical statistical inference.Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.
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ScholarGatePorównaj metody: Quota Sampling · Stratified Sampling. Pobrano 2026-06-17 z https://scholargate.app/pl/compare