Visualizing leadership classifications in rectangular data using a basket model and co-word network analysis: a case study of U.S. HCAHPS survey results

This study offers an innovative method for visualizing rankings and leadership patterns in rectangular datasets. By combining a multi-level basket model with co-word network analysis and open-source R scripts, users can quickly generate interpretable, cluster-based dominance diagrams. The approach is scalable, customizable, and applicable to a variety of fields, including healthcare, education, and public policy. Future work may extend this model to dynamic visual tools and broader interdisciplinary applications.