Methoden vergelijken
Bekijk de geselecteerde methoden naast elkaar; rijen die verschillen zijn gemarkeerd.
| Gewogen Steekproeftrekking van Typische Gevallen× | Gestratificeerde steekproeftrekking× | |
|---|---|---|
| Vakgebied | Surveymethodologie | Surveymethodologie |
| Familie | Process / pipeline | Process / pipeline |
| Jaar van ontstaan≠ | 1990s–2000s (as a mixed-methods extension) | 1977 |
| Grondlegger≠ | Derived from Patton's typical case sampling (1990) combined with classical survey weighting principles | William G. Cochran |
| Type≠ | Purposive sampling with probability weighting | Probability-based survey sampling design |
| Oorspronkelijke bron≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. pp. 236–238 (typical case sampling). ISBN: 978-0761919711 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7 |
| Aliassen | weighted purposive typical sampling, probability-weighted typical case selection, typical case sampling with weighting, weighted representative case sampling | Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme |
| Verwant≠ | 6 | 2 |
| Samenvatting≠ | Weighted typical case sampling combines the purposive logic of typical case selection — choosing cases that represent the modal, average, or most common profile of a population — with post-selection probability weighting. The result is a sample that is both substantively representative (cases reflect the norm) and statistically corrected for differential selection probabilities or population structure. It is used in mixed-methods and survey research where depth of typical examples matters alongside inferential accuracy. | 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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