In this digital ITEMS module, Dr. Sandip Sinharay reviews the status quo on the reporting of subscores. Specifically, he first provides examples of operationally-reported subscores, discusses why subscores are in high demand, and discusses professional quality standards that subscores have to satisfy. He then describes various statistical methods that can be used to evaluate whether subscores satisfy professional standards, which include descriptive statistics, DIMTEST / DETECT, factor analysis, multidimensional item response theory, and the Haberman method. He provides guidance for how to implement these methods on real data using the R package ‘subscores’.