Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Mērķtiecīgā izlase× | Anomālo gadījumu izlase× | |
|---|---|---|
| Nozare | Aptauju metodoloģija | Aptauju metodoloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | Formalized ~1980–1990 | 1990 |
| Autors≠ | Michael Quinn Patton (systematic articulation); roots in early qualitative inquiry | Michael Quinn Patton |
| Tips≠ | Non-probability sampling strategy | Purposive qualitative sampling strategy |
| Pirmavots≠ | Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796 | Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711 |
| Citi nosaukumi | judgmental sampling, selective sampling, criterion-based sampling, purposeful sampling | extreme case sampling, outlier sampling, negative case sampling, deviant-case selection |
| Saistītās≠ | 4 | 5 |
| Kopsavilkums≠ | 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. | Deviant case sampling is a purposive qualitative sampling strategy in which the researcher intentionally selects cases that are unusual, exceptional, or markedly different from the norm — outliers, extreme successes, or conspicuous failures. The goal is not statistical representation but deep learning from cases that illuminate the boundaries of a phenomenon, challenge prevailing assumptions, or reveal processes that typical cases obscure. |
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