Ross Jacobucci
Assistant Professor
- Office
- E440 Corbett Family Hall
Notre Dame, IN 46556 - Phone
- +1 574-631-2589
- rjacobuc@nd.edu
Research and teaching interests
Suicidal Thoughts and Behaviors, Machine Learning, Intensive Longitudinal Research
Biography
I am an assistant professor of psychology and my research focus is in the development and application of statistical models for clinical research, with specific applications of complex models to suicide research. This has been applied in two primary subdomains: 1) incorporating and assessing measurement error into machine learning, and 2), identifying longitudinal subtypes with machine learning.
Education
Ph.D. University of Southern California
B.A. Luther College
Representative Publications
Brandmaier, A. M. & Jacobucci, R. (forthcoming). "Machine-learning approaches to structural equation modeling." In R. H. Hoyle (Ed.), Handbook of structural equation modeling (2nd Edition). Guilford Press.
*Li, X., & Jacobucci, R. (in press). "Regularized structural equation modeling with stability selection." Psychological Methods.
Jacobucci, R., Littlefield, A., Millner, A. J., Kleiman, E. M., & Steinley, D. (2021). "Evidence of inflated prediction performance: A commentary on machine learning and suicide research." Clinical Psychological Science, 9, 129-134.
Jacobucci, R., & Grimm, K. J. (2020). "Machine learning and psychological research: The unexplored effect of measurement." Perspectives on Psychological Science, 15, 809-816.
Jacobucci, R., Grimm, K. J., & McArdle, J. J. (2016). "Regularized structural equation modeling." Structural Equation Modeling, 23, 555-566.