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Susu Zhang

Assistant Professor

Research Interests

I work on the integration of latent variable modeling and statistical learning to advance statistical and psychometric methods addressing practical problems in educational and psychological testing. Here are a few of my current research interests:

  • Theory and methods for complex behavioral data (in particular, sequence data, e.g., log data, natural language data) in assessments;
  • Latent variable modeling: missing data, response times, diagnostic classification, statistical computing;
  • Longitudinal model for learning and interventions.


Quantitative Psychology, Ph.D., University of Illinois Urbana-Champaign
Applied Mathematics, MS, University of Illinois Urbana-Champaign
Psychology, BA, Bryn Mawr College
Mathematics, BA, Haverford College


IES R324P210005 (co-PI): Analysis of NAEP Mathematics Process, Outcome, and Survey Data to Understand Test-Taking Behavior and Mathematics Performance of Learners with Disabilities

AERA NSF 112057 (PI): Revision and Review Behavior in Large-Scale Computer-Based Assessments: An Analysis of NAEP Mathematics Process Data 

Awards and Honors

Alicia Cascallar Award (NCME, 2022)

Excellent Reviewer Award (JEBS, 2021)

UIUC List of Teachers Ranked as Excellent by Students (SP 2021, FA 2022)

Courses Taught

Additional Campus Affiliations

Assistant Professor, Psychology
Assistant Professor, Statistics

Honors & Awards

Alicia Cascallar Award (NCME, 2022)

Excellent Reviewer Award (JEBS, 2021)

UIUC List of Teachers Ranked as Excellent by Students (SP 2021, FA 2022)

Highlighted Publications

Zhang, S., Wang, Z., Qi, J., Liu, J., & Ying, Z. (2023). Accurate Assessment via Process Data. Psychometrika, 88(1), 76–97.

Fang, G., Guo, J., Xu, X., Ying, Z., & Zhang, S. (2021). Identifiability of Bifactor Models. Statistica Sinica, 31(5), 2309-2330.

Zhang, S., Liu, J., & Ying, Z. (2023). Statistical Applications to Cognitive Diagnostic Testing. Annual Review of Statistics and Its Application, 10, 651-675.

Guo, J., Xu, X., Ying, Z., & Zhang, S. (2022). Modeling Not-Reached Items in Timed Tests: A Response Time Censoring Approach. Psychometrika, 87(3), 835-867.

View all publications on Illinois Experts

Recent Publications

Xu, X., Zhang, S., Guo, J., & Xin, T. (2024). Biclustering of Log Data: Insights from a Computer-Based Complex Problem Solving Assessment. Journal of Intelligence, 12(1), Article 10.

Xu, X., Fang, G., Guo, J., Ying, Z., & Zhang, S. (2024). Diagnostic Classification Models for Testlets: Methods and Theory. Psychometrika. Advance online publication.

Zhang, B., Luo, J., Zhang, S., Sun, T., & Zhang, D. C. (2024). Improving the Statistical Performance of Oblique Bifactor Measurement and Predictive Models: An Augmentation Approach. Structural Equation Modeling, 31(2), 233-252.

Du, Y., Zhang, S., & Chang, H. H. (2023). Compromised item detection: A Bayesian change-point perspective: A Bayesian change-point perspective. British Journal of Mathematical and Statistical Psychology, 76(1), 131-153.

Wei, X., & Zhang, S. (2023). Extended Time Accommodation and the Academic, Behavioral, and Psychological Outcomes of Students With Learning Disabilities. Journal of Learning Disabilities. Advance online publication.

View all publications on Illinois Experts