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Steven Culpepper


Primary Affiliation

Intelligence, Learning, and Plasticity


Status Affiliate Faculty

Home Department of Statistics

Phone 244-1390



  • Biography


    • B.S., economics, Bowling Green State University, 2001

    • Ph.D., educational psychology, University of Minnesota, 2006

  • Research

    Research Interests:

    • Psychometric models

    • Latent class models

    • Large-scale testing and assessment

    • Statistical computing

  • 2022

    • Balamuta, J. J., & Culpepper, S. A. (2022). Exploratory Restricted Latent Class Models with Monotonicity Requirements under PÒLYA–GAMMA Data Augmentation. Psychometrika, 87(3), 903-945.
    • Man, A. X., & Culpepper, S. A. (2022). A Mode-Jumping Algorithm for Bayesian Factor Analysis. Journal of the American Statistical Association, 117(537), 277-290.


    • Chen, Y., Liu, Y., Culpepper, S. A., & Chen, Y. (2021). Inferring the Number of Attributes for the Exploratory DINA Model. Psychometrika, 86(1), 30-64.
    • Culpepper, S. A., & Balamuta, J. J. (Accepted/In press). Inferring Latent Structure in Polytomous Data with a Higher-Order Diagnostic Model. Multivariate Behavioral Research.
    • McCaffrey, D. F., & Culpepper, S. A. (2021). Introduction to JEBS Special Issue on NAEP Linked Aggregate Scores. Journal of Educational and Behavioral Statistics, 46(2), 135-137.