Steven Andrew Culpepper

Associate Professor

Research Interests

  • Psychometric models
  • Latent class models
  • Large-scale testing and assessment
  • Statistical computing


  • PhD, Educational Psychology, University of Minnesota, 2006
  • BS, Economics, Bowling Green State University, 2001

Additional Campus Affiliations

Associate Professor, Statistics
Associate Professor, Educational Psychology
Associate Professor, Beckman Institute for Advanced Science and Technology

Recent Publications

Culpepper, S. A. (2019). Estimating the Cognitive Diagnosis Q Matrix with Expert Knowledge: Application to the Fraction-Subtraction Dataset. Psychometrika, 84(2), 333-357.

Culpepper, S. A., Aguinis, H., Kern, J. L., & Millsap, R. (2019). High-Stakes Testing Case Study: A Latent Variable Approach for Assessing Measurement and Prediction Invariance. Psychometrika, 84(1), 285-309.

Culpepper, S. A. (Accepted/In press). An Exploratory Diagnostic Model for Ordinal Responses with Binary Attributes: Identifiability and Estimation. Psychometrika.

Wiberg, M., Culpepper, S. A., Janssen, R., González, J., & Molenaar, D. (2019). Preface. Springer Proceedings in Mathematics and Statistics, 265, v.

Chen, Y., Culpepper, S. A., Chen, Y., & Douglas, J. A. (2018). Bayesian Estimation of the DINA Q matrix. Psychometrika, 83(1), 89-108.

View all publications on Illinois Experts