Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Вибірка типових випадків× | Стратифікована вибірка× | |
|---|---|---|
| Галузь | Методологія опитувань | Методологія опитувань |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1980s (systematized in Patton 1990/2002) | 1977 |
| Автор методу≠ | Michael Quinn Patton | William G. Cochran |
| Тип≠ | Purposive qualitative sampling strategy | Probability-based survey sampling design |
| Основоположне джерело≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| Інші назви | typical case selection, modal case sampling, representative case sampling, average case sampling | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| Пов'язані≠ | 5 | 2 |
| Підсумок≠ | Typical case sampling is a purposive strategy in which the researcher deliberately selects cases that represent what is ordinary, normal, or most common within a target group. Rather than seeking outliers or the widest possible variation, the goal is to illustrate and communicate what a typical experience, program, or phenomenon looks like to stakeholders or audiences unfamiliar with it. The strategy is widely used in qualitative evaluation research and program reporting. | 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. |
| ScholarGateНабір даних ↗ |
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