Contact Information
725 S. Wright St.
M/C 374
Champaign, IL 61820
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, Educational Psychology
External Links
Recent Publications
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
He, S., Culpepper, S. A., & Douglas, J. (2023). A Sparse Latent Class Model for Polytomous Attributes in Cognitive Diagnostic Assessments. In Methodology of Educational Measurement and Assessment (pp. 413-442). (Methodology of Educational Measurement and Assessment). Springer. https://doi.org/10.1007/978-3-031-10370-4_21
Liu, Y., Culpepper, S. A., & Chen, Y. (2023). Identifiability of Hidden Markov Models for Learning Trajectories in Cognitive Diagnosis. Psychometrika, 88(2), 361-386. https://doi.org/10.1007/s11336-023-09904-x
Yigit, H. D., & Culpepper, S. A. (2023). Extending exploratory diagnostic classification models: Inferring the effect of covariates. British Journal of Mathematical and Statistical Psychology, 76(2), 372-401. https://doi.org/10.1111/bmsp.12298