Student Growth Percentiles in a Diagnostic Model Framework

• In Event: Cognitive Diagnostic Models Applications

Abstract

Modeling growth is important in large-scale assessment. For diagnostic classification models (DCMs) to realize their potential, researchers must examine how current growth modeling techniques can be employed in a DCM framework. This paper introduces the diagnostic growth percentile (DGP) and evaluates the reliability of DGPs under various assessment conditions.

Authors

• Madeline Schellman, Pearson - Navvy

• Matthew James Madison, UNIVERSITY OF GEORGIA

• Shiyu Wang