![Profile picture for Steven Andrew Culpepper](/sites/default/files/styles/directory_profile/public/profile-photos/sculpepp.png.jpg?itok=FSaoyp7H)
Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
Research Areas
Research Interests
Psychometric models
Latent class models
Large-scale testing and assessment
Statistical computing
Education
PhD, Educational Psychology, University of Minnesota, 2006
BS, Economics, Bowling Green State University, 2001
Additional Campus Affiliations
Data Science Founder Professorial Scholar, Statistics
Professor, Statistics
Professor, Beckman Institute for Advanced Science and Technology
Professor, Psychology
Professor, Educational Psychology
External Links
Recent Publications
Aguinis, H., & Culpepper, S. A. (2024). Improving Our Understanding of Predictive Bias in Testing. Journal of Applied Psychology, 109(3), 402-414. https://doi.org/10.1037/apl0001152
Courey, K. A., Oswald, F. L., & Culpepper, S. A. (2024). Clearer Analysis, Interpretation, and Communication in Organizational Research: A Bayesian Guide. Practical Assessment, Research and Evaluation, 29(1). https://doi.org/10.7275/pare.1975
Liu, Y., & Culpepper, S. A. (2024). Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation. Psychometrika, 89(2), 592–625. https://doi.org/10.1007/s11336-023-09940-7
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