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Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Lauka tipiskās gadījumu izlases veidošana×Mērķtiecīgā izlase×
NozareAptauju metodoloģijaAptauju metodoloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads1980s–1990sFormalized ~1980–1990
AutorsMichael Quinn Patton; Miles & HubermanMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
TipsPurposive qualitative sampling strategyNon-probability sampling strategy
PirmavotsPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Citi nosaukumifield typical case sampling, in-person typical case sampling, fieldwork typical case selection, on-site typical case samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Saistītās54
KopsavilkumsField-based typical case sampling is a purposive qualitative strategy in which the researcher selects and studies cases that represent the ordinary, average, or most common instance of a phenomenon — and conducts data collection through direct fieldwork such as in-person observation, site visits, and face-to-face interviews. The combination ensures that findings portray what the phenomenon looks like under real-world, everyday conditions rather than through self-reports or online proxies.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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ScholarGateSalīdzināt metodes: Field-based typical case sampling · Purposive sampling. Izgūts 2026-06-17 no https://scholargate.app/lv/compare