Publications

Selected Peer Reviewed Journal Articles

  1. Broomell, Stephen B., Sabina J. Sloman, and Lisheng He. (2026). Toward Generalizable Estimation of Behavioral Models with Parameter Dependencies. Psychometrika. 1-21. https://doi.org/10.1017/psy.2026.10089
  2. Sloman, S. J., Cavagnaro, D. R., & Broomell, S. B. (2024). Knowing what to know: Implications of the choice of prior distribution on the behavior of adaptive design optimization. Behavior Research Methods56(7), 7102-7125. https://doi.org/10.3758/s13428-024-02410-7
  3. Huang, S., Golman, R., & Broomell, S. B. (2024). Combining the aggregated forecasts: An efficient method for improving accuracy by stacking multiple weighting models. Decision. https://doi.org/10.1037/dec0000245
  4. Huang, S., Broomell, S. B., & Golman, R. (2024). A hypothesis test algorithm for determining when weighting individual judgments reliably improves collective accuracy or just adds noise. Decision, 11(1), 7-34.  https://doi.org/10.1037/dec0000187
  5. Anglin, S. M., Drummond Otten, C., & Broomell, S. B. (2023). Hypothesis Testing Preferences
    in Research Decision Making. Collabra: Psychology, 9(1).
    https://doi.org/10.1525/collabra.73029
  6. Kane, P. B., Ward, B., Papenburg, J., Moyer, H., MacPherson, A., Broomell, S. B., & Kimm-
    leman, J. (2022). Relationship between Lay and Expert Perceptions of COVID-19 Vaccine
    Development Timelines in Canada and USA. PLOS ONE, 17(2).
    https://doi.org/10.1371/journal.pone.0262740
  7. Smithson, M. & Broomell, S. B. (2022). Compositional Data Analysis Tutorial. Psychological Methods.
    https://doi.org/10.1037/met0000464
  8. Broomell, S. B., & Kane, P. B. (2021). Perceiving a pandemic: Global–local incompatibility and COVID-19 superspreading events. Decision8(4), 227-236. https://doi.org/10.1037/dec0000155
  9. Kane, P. B., & Broomell, S. B. (2020). Applications of the bias–variance decomposition to human forecasting. Journal of Mathematical Psychology98, 102417. https://doi.org/10.1016/j.jmp.2020.102417
  10. Broomell, S. B. (2020). Global–local incompatibility: The misperception of reliability in judgment regarding global variables. Cognitive Science44(4), e12831. https://doi.org/10.1111/cogs.12831
  11. Broomell, S. B., Wong-Parodi, G., Morss, R. E., & Demuth, J. L. (2020). Do we know our own tornado season? A psychological investigation of perceived tornado likelihood in the southeast United States. Weather, Climate, and Society12(4), 771-788. https://doi.org/10.1175/WCAS-D-20-0030.1

Selected Peer Reviewed Conference Papers

  1. Broomell, S. B., & Wagner, C. (2024, August). The Joint Weighted Average (JWA) Operator. In International Conference on Soft Methods in Probability and Statistics (pp. 44-58). Cham: Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-65993-5_6
  2. Buffum, D., Broomell, S. B., Wagner, C., & Anderson, D. T. (2024, July). The compositional nature of weights. In International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (pp. 171-182). Cham: Springer Nature Switzerland. https://link.springer.com/chapter/10.1007/978-3-031-74000-8_15
  3. Sloman, S. J., Oppenheimer, D. O., Broomell, S. B., & Shalizi, C. R. (2022). Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias. The ICML2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World : Baltimore, USA.
  4. Sloman, S. J., Broomell, S. B., & Kusuma, T. (2020). Diagnosing pervasive issues with parameter estimation. The 42nd Annual Conference of the Cognitive Science Society. https://cognitivesciencesociety.org/cogsci20/papers/0467/0467.pdf
  5. Hibshi, H., Breaux, T., & Broomell, S. B. (2015, August). Assessment of Risk Perception in Security Requirements Composition. In 2015 IEEE 23rd International Requirements Engineering Conference (RE) (pp. 146–155). IEEE.

Invited Papers and Book Chapters

  1. Broomell, S. B., Ho, E., Benjamin, D. M., & Budescu, D. V. (2025). Expert Judgment and Communication of Uncertainty. In Uncertainty in Climate Change Research: An Integrated Approach (pp. 237-246). Cham: Springer Nature Switzerland. https://link.springer.com/content/pdf/10.1007/978-3-031-85542-9_23.pdf
  2. Broomell, S. B., & Davis-Stober, C. P. (2024). The strengths and weaknesses of crowds to address global problems. Perspectives on Psychological Science19(2), 465-476. https://doi.org/10.1177/17456916231179152
  3. Fischhoff, B., & Broomell, S. B. (2020). Judgment and decision making. Annual Review of Psychology71, 331-355. https://doi.org/10.1146/annurev-psych-010419-050747
  4. Broomell, S . B. (2020). Using a Bifocal Lens Model to Identify Global-Local Incompatibility. The Brunswick Society Newsletter, 35, 5–7.