Recent advances have enabled diagnostic classification models (DCMs) to accommodate longitudinal data. These longitudinal DCMs were developed to study how examinees change, or transition, between different attribute mastery statuses over time. This study examines using longitudinal DCMs as an approach to assessing growth and serves three purposes:…

A key intent of the NCLB growth pilot is to reward low-status schools who are closing the gap to proficiency. In this article, we demonstrate that the capability of proposed models to identify those schools depends on how the growth model is incorporated into accountability decisions. Six pilot-approved growth models were applied to vertically…