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Maksimālās variācijas izlase×Mērķtiecīgā izlase×
NozareAptauju metodoloģijaAptauju metodoloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)Formalized ~1980–1990
AutorsLincoln & Guba; systematised by Michael Quinn PattonMichael 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. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711Patton, M. Q. (1990). Qualitative Evaluation and Research Methods (2nd ed.). Sage. ISBN: 978-0803937796
Citi nosaukumimaximum variation sampling, maximum diversity sampling, MVS, heterogeneous samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Saistītās54
KopsavilkumsMaximum variation sampling is a purposive qualitative sampling strategy in which the researcher deliberately selects cases that span the widest possible range of variation on dimensions central to the study. The goal is not statistical representation but the identification of common patterns that cut across diverse cases as well as the documentation of the unique ways each context shapes the phenomenon under investigation.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: Maximum Variation Sampling · Purposive sampling. Izgūts 2026-06-15 no https://scholargate.app/lv/compare