In‑depth empirical investigation of one or more bounded political phenomena—selected as a single case or a small number of cases—using multiple sources and analytic techniques to develop detailed description, test propositions, or generate and refine causal explanations within their contextual conditions; characterized by within‑case depth, triangulation of evidence, and attention to process and context rather than large‑N statistical generalization.

Principle

Concentrated examination of a bounded case exposes contextual conditions, causal mechanisms and sequence-specific contingencies that cross-sectional large‑N designs may obscure, enabling theory development or critical tests of existing hypotheses.

Demonstration

Illustrative scenario → Situation: A researcher seeks to explain an unexpected constitutional reform in Country A. Recognition: They delimit the reform as a bounded case, collect legislative records, elite interviews and contemporaneous media, and identify plausible mechanisms. Action: Evidence is triangulated to test rival explanations (e.g., elite bargaining vs external shock). Consequence: One mechanism is supported as most consistent with the within‑case evidence and theory is refined accordingly.

Misapplication

Generalizing from a single, unrepresentative case to broad causal claims without justifying case selection logic (e.g., selecting on outcome) or without establishing how the case tests a theory; the error is conflating depth of evidence with external representativeness.

Consequence

Produces rich causal insight, mechanism identification, and contextualized explanation; however, external generalizability depends on selection logic and replication logic—single cases can falsify or refine theory but rarely establish population-level rates alone.

Reversal

When research goals are estimation of average effects across populations (e.g., policy effect sizes), the case study method is poorly suited; in those situations, statistical inference from appropriately sampled large‑N designs is preferable.

Boundary

Clearly within: a triangulated single‑case study that systematically tests alternative mechanisms. Boundary case: a small‑N most‑similar or most‑different comparative series where cases are chosen for inferential leverage. Clearly outside: cross‑sectional regression analysis over a large sample without within‑case process evidence.

Semantic Tension

Internal validity (deep causal understanding) ↔ External validity (generalizability across cases)—the method prioritizes the former, requiring explicit strategies to address the latter.

Synthesis

The case study method trades breadth for contextual causal depth: it is the preferred route to discover mechanisms, test theories against concrete sequences, and refine conceptual understandings when context matters.