
About
Steven Culpepper is a Professor at the University of Illinois at Urbana-Champaign with joint appointments in the Department of Educational Psychology (College of Education), Department of Statistics, Department of Psychology, and Beckman Institute for Advanced Science and Technology. He holds a PhD in Educational Psychology from the University of Minnesota (2006) and BS in Economics from Bowling Green State University (2001).
His research program focuses on developing advanced psychometric models and statistical methods for educational and psychological measurement. Primary research areas include:
- Latent class and hidden Markov models for cognitive diagnosis
- Large-scale testing and assessment methodologies
- Bayesian inference for restricted latent class models
- Statistical computing applications for psychometrics
- Longitudinal modeling of learning trajectories
His recent publications demonstrate consistent focus on improving parameter estimation for diagnostic classification models, with methodological innovations in Bayesian computation, model identifiability, and handling of polytomous response data. Research consistently addresses fundamental challenges in educational measurement through rigorous statistical frameworks.
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