Dr. Jordan Loeffelman (formerly Jordan Stevens) is an assistant professor in the Department of Psychology at the University of Oklahoma. She received her Ph.D. and M.A. in quantitative psychology at the University of Missouri, and her M.A. in statistics at the University of Missouri.
Her research centers on exact (e.g., complete enumeration) and approximate (e.g., genetic algorithm, simulated annealing) algorithms for a variety of combinatorial optimization problems. More specifically, she focuses on the development and application of algorithms to clustering and subset/feature selection problems. In application, this research has aided in the shortening of diagnostic sets while minimizing misclassification.
Loeffelman, J.E., Steinley, D., Boness, C.L., Trull, T., Wood, P., & Sher, K.J. (2020). Combinatorial optimization of clustering decisions: An application to refine psychiatric diagnoses. Multivariate Behavioral Research, 1-13.
Stevens, J.E., Shireman, E., Steinley, D., Piasecki, T.M., Vinson, D., & Sher, K.J. (2020). Item Responses in quantity-frequency questionnaires: Implications for data harmonization and generalizability. Assessment, 27(5).
Boness, C. L., Loeffelman, J. E., Steinley, D., Trull, T., & Sher, K. J. (2020). Using Complete Enumeration to Derive “One-Size-Fits-All” Versus “Subgroup-Specific” Diagnostic Rules for Substance Use Disorder. Assessment, 27(6).
Stevens, J. E., Steinley, D., McDowell, Y. E., Boness, C. L., Trull, T. J., Martin, C. S., & Sher, K. J. (2019). Toward more efficient diagnostic criteria sets and rules: The use of optimization approaches in addiction science. Addictive behaviors 94, 57-64.
Boness, C. L., Stevens, J. E., Steinley, D., Trull, T., & Sher, K. J. (2019). Deriving alternative criteria sets for alcohol use disorders using statistical optimization: Results from the National Survey on Drug Use and Health. Experimental and clinical psychopharmacology, 27(3), 283-296.