Growth Mixture Modeling: Application to Reading Achievement Data From a Large-Scale Assessment

Abstract

Increasing attention has been paid to growth mixture modeling (GMM) in recent social and behavioral science literature. However, the use of this methodology in educational research is still in its infancy. The purpose of this article is to demonstrate an application of GMM to longitudinal educational data from large-scale reading tests.