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ОбластьМетодология опросовМетодология опросов
СемействоProcess / pipelineProcess / pipeline
Год появления1980s–2000sFormalized ~1980–1990
Автор методаDerived from purposive sampling tradition (Patton); formalized in mixed-methods literatureMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
ТипNon-probability sampling with proportional allocationNon-probability sampling strategy
Основополагающий источникPatton, 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
Другие названияproportional criterion sampling, quota-proportional purposive sampling, representational purposive samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Связанные44
СводкаProportional purposive sampling combines the intentional case selection of purposive sampling with proportional allocation across subgroups. Researchers first determine how each meaningful subgroup (e.g., gender, school type, professional role) is represented in the population, then deliberately select participants from each subgroup in those same proportions — using purposive judgment to ensure each selected case is information-rich and relevant to the research question.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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  2. 2 Источники
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ScholarGateСравнение методов: Proportional Purposive Sampling · Purposive sampling. Получено 2026-06-18 из https://scholargate.app/ru/compare