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Полевая теоретическая выборка×Максимальная вариативность выборки×
ОбластьМетодология опросовМетодология опросов
СемействоProcess / pipelineProcess / pipeline
Год появления19671985 (Lincoln & Guba); elaborated 1990–2002 (Patton)
Автор методаBarney G. Glaser and Anselm L. StraussLincoln & Guba; systematised by Michael Quinn Patton
ТипQualitative iterative sampling strategyPurposive qualitative sampling strategy
Основополагающий источникGlaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. Chapter 5: Purposeful Sampling. ISBN: 978-0761919711
Другие названияfield theoretical sampling, in-situ theoretical sampling, fieldwork-driven theoretical sampling, grounded field samplingmaximum variation sampling, maximum diversity sampling, MVS, heterogeneous sampling
Связанные35
СводкаField-based theoretical sampling is an iterative qualitative sampling strategy in which decisions about whom to observe or interview next are made during active fieldwork, guided by emerging theoretical insights from the data already collected. Rooted in Glaser and Strauss's grounded theory, it extends theoretical sampling into naturalistic, in-situ field settings — ethnographic sites, clinical environments, organizational contexts — where data collection and analysis proceed simultaneously.Maximum 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.
ScholarGateНабор данных
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  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

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ScholarGateСравнение методов: Field-based theoretical sampling · Maximum Variation Sampling. Получено 2026-06-15 из https://scholargate.app/ru/compare