University of VirginiaAUGUST 2015 - CURRENT
Ph.D - QUANTITATIVE PSYCHOLOGY
University of North Florida AUGUST 2009 - MAY 2015
B.S. - PSYCHOLOGY
Minor: Mathematical Science
Nonlinear dynamics is an area of dynamical systems analysis dealing with systems that have nonlinear components. Examples of such systems include logistic growth, neuron spiking, and chaos. A portion of my research is geared towards creating new methods for understanding nonlinear systems, and applying methods developed for understanding physical systems to psychological and behavioral systems.
My applied interests revolve around nonverbal synchrony. Nonverbal synchrony refers to a synchronization and coordination of motion between two individuals engaged in information transfer with one another. High levels of nonverbal synchrony have been associated with many positive outcomes between individuals. My current nonverbal synchrony projects involve treatment disparity in patient-physician dyads, individual differences in conversation dynamics, and the roles oxytocin plays in conversation dynamics.
Structural Equation Modeling
Structural equation modeling (SEM) is a general framework for hypothesis testing and statistical modeling. A portion of my research involves using SEM to analyze nonlinear dynamical systems and model latent differential equations. I also contribute to the OpenMx SEM software development project by creating tutorial videos that I host on YouTube (Link at the top of this page).
- Boker, S. M., Tiberio, S. S. & Moulder, R. G. (in press). Robustness of Time Delay Embedding to Sampling Interval Misspecification. In Continuous Time Modeling in the Behavioral and Related Sciences , K. v. Montfort, J. Oud and M. Voelkle (Eds). Berlin: Springer.
- Moulder, R., Boker, S., Ramseyer, F., & Tschacher, W. (in press). Determining Synchrony Between Behavioral Time Series: An Application of Surrogate Data Generation for Establishing Falsifiable Null-Hypotheses. Psychological Methods.
- Nicholson, J. S., Truelove, H. B., Barton, J. M., & Moulder, R. (2016). Measuring College Students Community Service Attitudes Validly and Efficiently: Development of a Short Version of the Community Service Attitudes Scale. Journal of Community Engagement and Higher Education, 8 (4), 18-28.
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