profile picture
Professor
219 McAlester Hall
stoberc@missouri.edu
Tenured/Tenure Track
Lab Information
Decision Making and Data Science Lab
About the Lab

I study how individuals make risky choices and whether they do so in consistent, predictable ways that reveal their motivations and goals.  My lab uses the language of mathematics and statistical modeling to make these concepts precise and testable.   In collaboration with other labs, I seek to better understand decision making across many experimental and observational settings, with a particular focus on risky decisions involving alcohol and addictions.  In tandem with our empirical investigations, my lab develops and applies advanced quantitative methods to make sound statistical inferences and predictions.   This scope of work includes Bayesian cognitive modeling, order-constrained statistical inference, network modeling, and machine learning. The lab has received funding from the National Institutes of Health, National Science Foundation, and the Department of Defense.  I support transparency in science by making data, code, and related materials publicly available on established file sharing websites.

Bio

Dr. Clintin Davis-Stober is a Professor of Psychological Sciences at the University of Missouri. He holds a Ph.D. in Quantitative Psychology and an M.S. in Mathematics from the University of Illinois at Urbana-Champaign.

Selected Career Awards

  • Fellow of the Association for Psychological Science
  • Fellow of the Psychonomic Society
  • William K. Estes Early Career Award, Society for Mathematical Psychology
  • Provost Outstanding Junior Faculty Research and Creative Activity Award, University of Missouri
  • Distinguished Dissertation Award, American Psychological Association (APA) Division 5: Evaluation, Measurement and Statistics

Current Editorial Appointments

  • Associate Editor, Decision
  • Consulting Editor, Psychological Review
  • Consulting Editor, Judgment and Decision Making
Selected Publications

 

For a complete list of publications, please visit www.davis-stober.com

McMullin, S. D., Motschman, C., Hatz, L., McCarthy, D., & Davis-Stober, C. P. (2022). Decision strategies while intoxicated relate to alcohol-impaired driving attitudes and intentions. Psychology of Addictive Behaviors.  doi.org/10.31234/osf.io/7tmuh 

Kellen, D., Davis-Stober, C. P., Dunn, J. C., & Kalish, M. L. (2021). The problem of coordination and the pursuit of structural constraints in psychology. Perspectives on Psychological Science, 16, 767-778. 10.31234/osf.io/3eupv

Hatz, L., Park, S., McCarty, K. N., McCarthy, D. M., & Davis-Stober, C. P. (2020). Young adults make rational sexual decisions. Psychological Science, 31, 944-956. doi.org/10.1177/0956797620925036

McCausland, W. J., Davis-Stober, C. P., Marley, A. A. J., Park, S., & Brown, N. (2020). Testing the random utility hypothesis directly. The Economic Journal, 130, 183-207. doi.org/10.1093/ej/uez039

Davis-Stober, C. P., & Regenwetter, M. (2019). The 'paradox' of converging evidence. Psychological Review, 126, 865-879. doi.org/10.1037/rev0000156

Cavagnaro, D. R., & Davis-Stober, C. P. (2018). A model-based test for treatment effects with probabilistic classifications. Psychological Methods, 23, 672-689. doi.org/10.1037/met0000173

Davis-Stober, C. P., Park, S., Brown, N., & Regenwetter, M. (2016). Reported violations of rationality may be aggregation artifacts.  Proceedings of the National Academy of Sciences of the United States of America, 113, E4761-E4763. doi.org/10.1073/pnas.1606997113

Davis-Stober, C. P., Budescu, D. V., Dana, J., & Broomell, S. B. (2015). The composition of optimally wise crowds. Decision Analysis, 12, 130-143. doi.org/10.1287/deca.2015.0315

Regenwetter, M., & Davis-Stober, C. P. (2012). Choice variability versus structural inconsistency of preferences. Psychological Review, 119, 408-416.

Regenwetter, M., Dana, J., & Davis-Stober, C. P. (2011). Transitivity of preferences. Psychological Review, 118, 42-56.

Davis-Stober, C. P. (2011). A geometric analysis of when fixed weighting schemes will outperform ordinary least squares. Psychometrika, 76, 650-669. doi.org/10.1007/s11336-011-9229-1

Davis-Stober, C. P., Dana, J., & Budescu, D. V. (2010). A constrained linear estimator for multiple regression. Psychometrika, 75, 521-541. doi.org/10.1007/s11336-010-9162-8

Lab Area
Quantitative
Documents
C.V.