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Échantillonnage intentionnel basé sur l'analyse de sensibilité×Échantillonnage par cas déviants×
DomaineMéthodologie d'enquêteMéthodologie d'enquête
FamilleProcess / pipelineProcess / pipeline
Année d'origine1990s–2000s1990
Auteur d'origineRooted in Patton's purposive sampling typology; sensitivity analysis practices formalized in research synthesis literatureMichael Quinn Patton
TypePurposive qualitative sampling with robustness verificationPurposive qualitative sampling strategy
Source fondatricePatton, M. Q. (2015). Qualitative Research and Evaluation Methods (4th ed.). Sage Publications. ISBN: 978-1412972123Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. ISBN: 978-0761919711
Aliaspurposive sampling with sensitivity checks, robust purposive sampling, sensitivity-tested purposive selectionextreme case sampling, outlier sampling, negative case sampling, deviant-case selection
Apparentées55
RésuméSensitivity analysis-based purposive sampling extends conventional purposive sampling by systematically testing whether key findings or case-selection decisions change when the inclusion criteria, selection logic, or boundary conditions are altered. It applies the logic of sensitivity analysis — standard in quantitative research and systematic reviews — to qualitative case selection, giving researchers explicit evidence of how robust their purposive choices are to plausible alternative selection rules.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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ScholarGateComparer des méthodes: Sensitivity Analysis-Based Purposive Sampling · Deviant Case Sampling. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare