Pascal R. Deboeck portrait
  • Associate Professor, Psychology Department
  • Affiliated Faculty, Consortium for Families and Health Research
  • Director, Developmental Training Program, Psychology Department
  • Director, Undergraduate Certificate in Quantitative Research Analytics in the Social Sciences, College of Social and Behavioral Science
801-585-5905

Publications

  • Deboeck, P. R., Geldhof, G. J., & Yu, D. (in press). Implications of Dynamic Systems for Future Methodology in Developmental and Learning Science. Review of Research in Education.. Accepted, 11/2023.
  • Deboeck P.R., Cole D.A., Preacher K.J., Forehand R. & Compas B.E. (2021). Modeling dynamic processes with panel data: An application of continuous time models to prevention research. (pp. 28-39). Vol. 45, International Journal of Behavioral Development. Published, 01/01/2021.
  • Deboeck PR (2020). Empirical Bayes Derivative Estimates. Multivariate behavioral research. Vol. 55, 382-404. Published, 09/2020.
  • Deboeck, P. R. (2020). Hands-On Experience in the Classroom — Why, How, and Outcomes. In J. L. Rodgers (Ed.) Teaching Statistics and Quantitative Methods into the 21st Century. Taylor & Francis. Published, 06/2020.
  • Deboeck, P. R., Preacher, K. J. & Cole, D. A. (2018). Mediation Modeling: Differing Perspectives on Time Alter Mediation Inferences. In K. van Montfort, J. Oud & M. Voelkle (Eds.) Continuous Time Modeling in the Behavioral and Related Sciences . Springer. Published, 01/2018.
  • Deboeck P. & Boulton A. (2016). Integration of Stochastic Differential Equations Using Structural Equation Modeling: A Method to Facilitate Model Fitting and Pedagogy. (pp. 888-903). Vol. 23, Structural Equation Modeling. Published, 11/01/2016.
  • Deboeck, P. R. (2016). Dynamical Systems Approaches. In S. K. Whitbourne (Ed.) The Encyclopedia of Adulthood and Aging, Volume 1 , pp. 384–390. John Wiley & Sons, Inc. Published, 01/01/2016.
  • Deboeck P. & Boker S. (2015). Analysis of dynamical systems: The modeling of change and variability. (pp. 170-186). Routledge International Handbook of Advanced Quantitative Methods in Nursing Research. Published, 07/24/2015.
  • Deboeck P. & Preacher K. (2015). No need to be discrete: A method for continuous time mediation analysis. (pp. 61-75). Vol. 23, Structural Equation Modeling. Published, 06/18/2015.
  • Deboeck P., Nicholson J., Kouros C., Little T. & Garber J. (2015). Integrating Developmental Theory and Methodology: Using Derivatives to Articulate Change Theories, Models, and Inferences. (pp. 217-231). Vol. 19, Applied Developmental Science. Published, 01/01/2015.
  • Deboeck P. & Bergeman C. (2013). The reservoir model: A differential equation model of psychological regulation. (pp. 237-256). Vol. 18, Psychological Methods. Published, 06/01/2013.
  • Deboeck, P. R. (2013). Dynamical systems and models of continuous time. In T. D. Little (Ed.) The Oxford Handbook of Quantitative Methods, Vol. II , pp. 411–431. New York, NY: Oxford University Press. Published, 01/01/2013.
  • Deboeck, P. R., Nicholson, J. S., Bergeman, C. S., & Preacher, K. J. (2013). From Modeling Long-Term Growth to Short-Term Fluctuations: Differential Equation Modeling Is the Language of Change. In Millsap, R.E., van der Ark, L.A., Bolt, D.M., & Woods, C.M. (Eds.), New Developments in Quantitative Psychology , pp. 427–447. New York: Springer. Published, 01/01/2013.
  • Deboeck, P. R. (2011). Modeling Non–Linear Dynamics. In M. R. Mehl & T. S. Conner (Eds.) The Handbook of Research Methods for Studying Daily Life , pp. 440–458. New York, NY: Guilford Press. Published, 01/01/2011.
  • Deboeck P. (2010). Estimating dynamical systems: Derivative estimation hints from sir ronald A. fisher. (pp. 725-745). Vol. 45, Multivariate Behavioral Research. Published, 08/27/2010.