Jeffrey Douglas

Jeffrey Douglas is a Professor in the Department of Educational Psychology at the University of Illinois at Urbana-Champaign, with joint appointments in Statistics and Psychology. He serves as Director of the MS Program in Statistics and Co-director of the Educational and Psychological Measurement Lab. Douglas earned his BS in Mathematics and PhD in Statistics from the University of Illinois.

His research focuses on Psychometrics, Latent Variable Models, and Multivariate Categorical Data Analysis, developing advanced statistical methods for cognitive diagnosis and educational assessment. His work integrates mathematical modeling with practical applications in educational testing and psychological measurement.

Douglas's publications demonstrate consistent focus on cognitive diagnosis modeling, with recent innovations in:

• Latent class models incorporating response times (2024)
• Polytomous attribute analysis (2023)
• IRT learning models (2023)
• Bayesian estimation techniques (2018)
• Hidden Markov models for skill acquisition (2018)

His methodological contributions span both theoretical statistics and applied educational measurement.

Professional recognition includes:

• Associate Editor for Statistics and Its Interface (since 2007)
• Associate Editor for Psychometrika (since 2003)
• Co-directorship of the Educational and Psychological Measurement Lab

Douglas leads the Educational and Psychological Measurement Lab, which develops innovative assessment methodologies and statistical models for educational and psychological research. The lab focuses on advancing cognitive diagnosis models and their applications in real-world educational settings.