Directory

Steven Culpepper's directory photo.

Steven Culpepper

Professor

Primary Affiliation

Intelligence, Learning, and Plasticity

Affiliations

Status Affiliate Faculty

Home Department of Statistics

Phone 244-1390

Email sculpepp@illinois.edu

Address

  • Biography

    Steven Culpepper is a professor in the Department of Statistics. He is also a Data Science Founder Professional Scholar of Statistics. Professor Culpepper is additionally a professor in the Department of Psychology and Department of Educational Psychology.

    Education

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

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

  • Research

    Research areas:

    • Quantitative Methods in the Social Sciences

    Research interests:

    • Psychometric models

    • Latent class models

    • Large-scale testing and assessment

    • Statistical computing

  • 2023

    • Bogdan, P. C., Dolcos, F., Moore, M., Kuznietsov, I., Culpepper, S. A., & Dolcos, S. (2023). Social Expectations are Primarily Rooted in Reciprocity: An Investigation of Fairness, Cooperation, and Trustworthiness. Cognitive Science, 47(8), Article e13326. https://doi.org/10.1111/cogs.13326
    • Chen, Y., Culpepper, S. A., & Chen, Y. (2023). Bayesian Inference for an Unknown Number of Attributes in Restricted Latent Class Models. Psychometrika, 88(2), 613-635. https://doi.org/10.1007/s11336-022-09900-7
    • Culpepper, S. A. (2023). A Note on Weaker Conditions for Identifying Restricted Latent Class Models for Binary Responses. Psychometrika, 88(1), 158-174. https://doi.org/10.1007/s11336-022-09875-5
    • Culpepper, S. A., & Balamuta, J. J. (2023). Inferring Latent Structure in Polytomous Data with a Higher-Order Diagnostic Model. Multivariate Behavioral Research, 58(2), 368-386. https://doi.org/10.1080/00273171.2021.1985949
    • Culpepper, S. A., & Xu, G. (2023). Introduction to JEBS Special Issue on Diagnostic Statistical Models. Journal of Educational and Behavioral Statistics, 48(6), 687-689. https://doi.org/10.3102/10769986231210002

    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. https://doi.org/10.1007/s11336-021-09815-9
    • 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. https://doi.org/10.1080/01621459.2020.1773833

    2021

    • 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. https://doi.org/10.1007/s11336-021-09750-9
    • Culpepper, S. A., & Balamuta, J. J. (Accepted/In press). Inferring Latent Structure in Polytomous Data with a Higher-Order Diagnostic Model. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2021.1985949
    • 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. https://doi.org/10.3102/10769986211001480