Shiyu Wang

Areas of Expertise

  • Latent Variable Modeling
  • Adaptive Design
  • Educational Measurement
  • Educational Statistics
  • Psychometrics


  • Computerized Adaptive Testing
  • Multistage Adaptive Testing
  • Restrictive Latent Class Modeling
  • Adaptive Learning
  • Longitudinal Analysis

Academic Affiliations


  •  PhD in Statistics, 2016
    University of Illinois at Urbana-Champaign
  •  BS in Statistics, 2011
    Beijing Normal University


 Aderhold Hall, 325N
 706-542-3717 (office)

Research Summary

My primary research interests lie broadly in statistical methodologies with applications to educational assessment and measurement. In general, I enjoy interdisciplinary work and believe that the best research is driven by interesting applications. This is especially so in statistical modeling and inference concerning educational data, where my research has been to help diagnose students' latent abilities, improve the testing mode to design efficient tests, both with a final objective of improving education quality. My doctoral dissertation focused on the theoretical and applied development in latent variable modeling and adaptive testing, which are the two research areas I am primarily interested in. The theoretical results and methodologies I developed can improve the model estimation procedure, provide guidelines for model selection and validation in cognitive learning and design more flexible and efficient adaptive testing mode.

Awards and Accolades

Norton Prize for Outstanding Doctoral Thesis in Statistics

University of Illinois at Urbana-Champaign, 2015

Early Career Faculty Research Award

University of Georgia, 2018

Early Career Researcher Award

International Association for Computerized Adaptive Testing, 2019

NAEd/Spencer Postdoctoral Fellow

National Academy of Education and Spencer Foundation, 2019

Jason Millman Promising Measurement Scholar Award

National Council on Measurement in Education (NCME), 2020