قارن الطرق
راجع الطرق التي اخترتها جنبًا إلى جنب؛ الصفوف المختلفة مميَّزة.
| المعاينة الطبقية متعددة المستويات× | العينة الطبقية النسبية× | |
|---|---|---|
| المجال | منهجية المسح | منهجية المسح |
| العائلة | Process / pipeline | Process / pipeline |
| سنة النشأة≠ | 1950s–1970s | 1953–1965 (formalized in survey sampling literature) |
| صاحب الطريقة≠ | Formalized by Leslie Kish and William G. Cochran in the mid-20th century survey sampling literature | William G. Cochran; Leslie Kish |
| النوع | Probability sampling design | Probability sampling design |
| المصدر التأسيسي | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| الأسماء البديلة | hierarchical stratified sampling, nested stratified sampling, multilevel stratified design, stratified multilevel sampling | proportionate stratified sampling, proportional allocation stratified sampling, PSRS, proportionate stratified random sampling |
| ذات صلة | 6 | 6 |
| الملخص≠ | Multi-level stratified sampling applies stratification at two or more hierarchical levels of a nested population structure — for example, first stratifying geographic regions, then stratifying schools within each region, then stratifying classrooms within each school. This layered control over the composition of the sample at every level reduces variance and supports analysis at each level of the hierarchy, making it a powerful design for large-scale educational, epidemiological, and organizational surveys. | 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. |
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