Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| Kaalutud tüüpilise juhtumi valim× | Valik-põhine juhtumite valik× | |
|---|---|---|
| Valdkond | Küsitlusmetoodika | Küsitlusmetoodika |
| Perekond | Process / pipeline | Process / pipeline |
| Tekkeaasta≠ | 1990s–2000s (as a mixed-methods extension) | Formalized ~1980–1990 |
| Looja≠ | Derived from Patton's typical case sampling (1990) combined with classical survey weighting principles | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry |
| Tüüp≠ | Purposive sampling with probability weighting | Non-probability sampling strategy |
| Algallikas≠ | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. pp. 236–238 (typical case sampling). ISBN: 978-0761919711 | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 |
| Rööpnimetused | weighted purposive typical sampling, probability-weighted typical case selection, typical case sampling with weighting, weighted representative case sampling | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling |
| Seotud≠ | 6 | 4 |
| Kokkuvõte≠ | 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. | Purposive sampling is a non-probability strategy in which the researcher deliberately selects participants, documents, or cases that are information-rich with respect to the research question. Rather than drawing units at random, the researcher applies explicit criteria aligned with the study's purpose, maximising the depth and relevance of the data collected. It is the default sampling logic in most qualitative research designs and is also used in mixed-methods and applied evaluative work. |
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