방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 할당 표본 추출× | 비례 층화 표본 추출× | |
|---|---|---|
| 분야 | 조사방법론 | 조사방법론 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1930s | 1953–1965 (formalized in survey sampling literature) |
| 창시자≠ | Developed in market research and opinion polling, notably applied by George Gallup in the 1930s | William G. Cochran; Leslie Kish |
| 유형≠ | Non-probability sampling design | Probability sampling design |
| 원전≠ | 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 |
| 별칭≠ | quota-controlled sampling, quota selection, non-probability quota sampling | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling |
| 관련≠ | 5 | 6 |
| 요약≠ | 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. | Proportional stratified sampling divides the target population into non-overlapping strata (subgroups defined by a key characteristic such as age band, region, or gender) and then draws a simple random sample from each stratum so that each stratum's share of the total sample matches its share of the total population. Because each subgroup is represented in exact proportion to its population weight, the resulting sample mirrors the population structure closely without requiring post-hoc weighting adjustments. |
| ScholarGate데이터셋 ↗ |
|
|