New method revolutionizes qualitative data analysis for health research.
The article introduces set-theoretic methods for analyzing qualitative data, focusing on Qualitative Comparative Analysis (QCA). QCA is a useful method for comparing cases and has become popular in the health field. The paper discusses the philosophical basis of set-theoretic methods, how to calibrate sets, and the limitations of QCA. It also explains how QCA software like fs/QCA can help interpret results.