Unpacking the Latent Clusters of Equity Indicators via Correspondence Analysis Using Open School Equity Data

• In Event: Unforgetting Methods: Reimagining Policy Analysis for Complex Educational Futures

Abstract

This study applies correspondence analysis and hierarchical clustering to 3,822 public open access datasets to uncover latent structures among 16 NASEM equity indicators. Results reveal three interpretable clusters and distinct data-level profiles, offering a simplified, empirically grounded framework to support equity-driven analysis, benchmarking, and policy use.

Authors

• Alex J. Bowers, Teachers College, Columbia University

• Guoliang Xu, Teachers College, Columbia University