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Terénní výběr maximální variace×Výběr odlehlých případů×
OborMetodologie dotazníkových šetřeníMetodologie dotazníkových šetření
RodinaProcess / pipelineProcess / pipeline
Rok vzniku1990 (Patton); field application established through ecological and ethnographic practice in the 1990s–2000s1990
TvůrceMichael Quinn Patton (maximum variation sampling); adapted for field research contextsMichael Quinn Patton
TypPurposive qualitative/mixed-methods sampling strategyPurposive qualitative sampling strategy
Původní zdrojPatton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage. [Maximum variation sampling discussed in Chapter 5] ISBN: 978-0761919711Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711
Další názvyfield MVS, field-based purposeful maximum variation, maximum heterogeneity field sampling, diverse case field samplingextreme case sampling, outlier sampling, negative case sampling, deviant-case selection
Příbuzné65
ShrnutíField-based maximum variation sampling is a purposive strategy in which a researcher deliberately selects field sites, ecological plots, communities, or observational units that span the widest possible range of relevant characteristics. By maximising heterogeneity among selected units, the approach ensures that both common patterns shared across diverse conditions and unique features specific to particular contexts are documented, making findings robust across a broad spectrum of real-world variation.Deviant case sampling is a purposive qualitative sampling strategy in which the researcher intentionally selects cases that are unusual, exceptional, or markedly different from the norm — outliers, extreme successes, or conspicuous failures. The goal is not statistical representation but deep learning from cases that illuminate the boundaries of a phenomenon, challenge prevailing assumptions, or reveal processes that typical cases obscure.
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ScholarGatePorovnat metody: Field-based maximum variation sampling · Deviant Case Sampling. Získáno 2026-06-15 z https://scholargate.app/cs/compare