Qualitative Comparative Analysis and causal knowledge
As the Structural Causal Model framework posits, the claim that a 'treatment' has causal relevance calls for a model that specifies the conditions or attributes of responsive units. The work builds on this tenet to clarify the contribution of Qualitative Comparative Analysis to causal knowledge. It recasts the rationale, operations, and criteria of QCA to show that the technique can be geared to identifying credible causal models, and its solutions can fit causal graphs.