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Case Study Research: Design and Methods

Yin, Robert K. · 2014

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Citation (APA)

Yin, Robert K. (2014). Case Study Research: Design and Methods. SAGE Publications. Source ↗ · ISBN 978-1-4522-4256-9

Summary

Yin establishes systematic methodology for conducting rigorous case study research — defining the logic of case selection, chain-of-evidence documentation, pattern matching across cases, explanation building, and rival explanation testing. The book argues that case study is a legitimate research design for studying 'how' and 'why' questions in real-world contexts where the investigator cannot manipulate variables. Yin distinguishes single-case from multiple-case designs and addresses common critiques about generalizability by arguing that case studies generalize to theoretical propositions, not to populations — replication logic, not sampling logic.

Why it matters

Renergence's evidence base includes extensive case observation. Yin's methodology informs how we structure and validate observations without pretending to run controlled experiments.

How we apply it

The Renergence framework's primary evidence base is field observation across thousands of client engagements, and Yin's methodology provides the structural discipline for how that evidence is documented and validated as a research practice, not just practice notes. Each client engagement is treated structurally as a case: observable conditions are documented (role, environment, reported experience, engagement patterns), the theoretical category is identified (which nature, which type of mismatch), rival explanations are tested before settling on a diagnosis, and outcomes are tracked over time. Case series from practitioner training — anonymized, structured, systematically reviewed — constitute the accumulating empirical base for the nine-natures model. This is case study methodology used in its intended application domain: building and refining theoretical propositions about engagement patterns from non-experimental real-world evidence.

Limitations

Yin's framework is designed for academic research where case documentation is systematic, retrospective review is possible, rival explanation testing is explicit and documented, and the researcher is distinct from the practitioner. In live practitioner settings, documentation is necessarily partial, conducted by the same person doing the diagnosis (reducing independence), and rarely includes the longitudinal follow-up that strengthens case study conclusions. The framework draws on Yin's logic of pattern matching and theoretical replication across cases, but cannot claim the procedural rigor that academic case study methodology requires — a gap that is explicitly acknowledged in how the framework represents its evidence claims, rather than obscured.

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