Moving Past "One Size Fits All": Developing a Trajectory Deviance Index for Dynamic Measurement Modeling

• In Event: AERA Poster Session 4
  In Poster Session: Poster Session (San Diego)

Abstract

The current project advanced a person-specific Trajectory Deviance Index (TDI) that captures the aberrance of an individual’s growth from the model-implied trajectory in Dynamic Measurement Modeling. Two simulation studies were conducted to examine and compare the distributional properties and effectiveness of four TDI candidates with different formulations. Consequently, the best functioning one was determined as the final formulation of the TDI. The data generation model was based on the parameter estimates from the Technology-enhanced, Research-based, Instruction, Assessment, and professional Development cluster-randomized experiment data, which contains seven waves of mathematics test scores for students from pre-school through Grade 5. Besides the simulation work, an empirical study was also conducted to demonstrate the uses of the developed TDI within those real-world data.

Authors

• Yixiao Dong, University of Denver

• Denis Dumas, University of Georgia