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Максимальная вариативность выборки×Целенаправленная выборка×
ОбластьМетодология опросовМетодология опросов
СемействоProcess / pipelineProcess / pipeline
Год появления1985 (Lincoln & Guba); elaborated 1990–2002 (Patton)Formalized ~1980–1990
Автор методаLincoln & Guba; systematised by Michael Quinn PattonMichael Quinn Patton (systematic articulation); roots in early qualitative inquiry
ТипPurposive qualitative sampling strategyNon-probability sampling strategy
Основополагающий источникPatton, 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
Другие названияmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous samplingjudgmental sampling, selective sampling, criterion-based sampling, purposeful sampling
Связанные54
СводкаMaximum 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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: Maximum Variation Sampling · Purposive sampling. Получено 2026-06-15 из https://scholargate.app/ru/compare