Deviant Case Sampling
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.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). Sage Publications. · ISBN 978-0761919711
- Flyvbjerg, B. (2006). Five misunderstandings about case-study research. Qualitative Inquiry, 12(2), 219-245. · DOI 10.1177/1077800405284363
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.