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| Квотен подбор× | Систематична извадка× | |
|---|---|---|
| Област | Методология на проучванията | Методология на проучванията |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1930s | Mid-20th century (Cochran 1953; Kish 1965) |
| Създател≠ | Developed in market research and opinion polling, notably applied by George Gallup in the 1930s | William G. Cochran; formalized in survey sampling theory |
| Тип≠ | Non-probability sampling design | Probability sampling design |
| Основополагащ източник≠ | Moser, C. A., & Kalton, G. (1972). Survey Methods in Social Investigation (2nd ed.). Heinemann. ISBN: 978-0435827496 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Други названия≠ | quota-controlled sampling, quota selection, non-probability quota sampling | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| Свързани | 5 | 5 |
| Резюме≠ | Quota 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. | 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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