Chun Wang

Chun Wang is a Professor in the Department of Measurement & Statistics at the University of Washington's College of Education. His research focuses on advancing quantitative methods in educational and psychological measurement, with expertise in item response theory (IRT), computerized adaptive testing (CAT), and cognitive diagnostic modeling. He holds affiliate faculty status at the Center for Statistics and the Social Sciences.

Education:

• B.S. in Psychology, Peking University (China)
• M.S. and Ph.D. in Quantitative Psychology, University of Illinois at Urbana-Champaign

Research Interests:

• Development and validation of multidimensional/mixture IRT models
• Computerized adaptive testing optimization
• Cognitive diagnostic modeling for classroom applications
• Health measurement and bias detection in assessments

Recent Trends in Articles: His work bridges statistical innovation with practical applications, emphasizing fairness and efficiency in assessments. Notable areas include:
- Healthcare: Predictive models for discharge disposition and functional outcomes
- Education Technology: Adaptive learning systems and diagnostic feedback mechanisms
- Methodology: Bias detection (DIF), Bayesian estimation techniques, and computational efficiency

• Scientific Awards: Includes the Anne Anastasi Award (2020), McKnight Presidential Fellowship (2017), and multiple best reviewer recognitions from leading psychometrics journals.

Advising & Grants: Supervised students including Xiao J., Zhu R., and Lu J.* in high-impact projects. Co-led a $10M NIH grant (AmplifyGAIN Center) to advance Gen AI in STEM education. Published extensively in Psychometrika, Journal of Educational and Behavioral Statistics, and other top outlets.

Labs/Teams: Directs the Pmetrics Lab (https://sites.uw.edu/pmetrics/), collaborating on cutting-edge measurement tools for education and healthcare.