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Faculty
Steve Boker
Professor of Data Science by Courtesy
School of Data Science
Additional Roles
Professor of Psychology
Department of Psychology
Email: smb3u@virginia.edu
Phone: 4342437275
Additional Contact Information
Office: 216A Gilmer Hall
Boker serves as a professor of quantitative psychology as well as a professor of data science by courtesy. He directs the Ph.D. program in quantitative psychology, the Human Dynamics Laboratory, and the LIFE Academy at the University of Virginia. He is known internationally as an expert in modeling longitudinal data from a dynamical systems perspective.
Boker's work also focuses on measuring and modeling the dynamics of dyadic conversation, age-related changes in resiliency as indicated by coupled dynamics between stress and affect, coupled dynamics between mothers and infants, and adaptive dynamic models for addiction. Boker is a fellow of the American Psychological Association and the Association for Psychological Science.
Selected Publications
Moulder, R., Daniel, K., Teachman, B. & Boker, S. M. (in press) Tangle: A Metric for Quantifying Complexity and Erratic Behavior in Short Time Series. Psychological Methods
Boker, S. M., Moulder, R., & Sjobeck, G. (2020) Constrained Fourth Order Latent Differential Equation Reduces Parameter Estimation Bias for Damped Linear Oscillator Models. Structural Equation Modeling 7:2 202–218.
Boker, S. M. & Martin, M. (2018) A Conversation between Theory, Methods, and Data. Multivariate Behavioral Research. 53:6, 806–819
Moulder, R., Boker, S., Ramseyer, F., & Tschacher, W. (2018). Determining synchrony between behavioral time series: An application of surrogate data generation for establishing falsifiable null-hypotheses. Psychological Methods. 23:4 pp 757–773
Boker, S. M., Staples, A., & Hu, Y. (2016) Dynamics of Change and Change in Dynamics. Journal for Person-Oriented Research, 2:1–2, 34–55.
Boker, S. M., Brick, T. R., Pritikin, J. N., Wang, Y., Oertzen, T. v., Brown, D., Lach, J., Estabrook, R., Hunter, M. D., Maes, H. H., & Neale, M. C. (2015) Maintained Individual Data Distributed Likelihood Estimation. Multivariate Behavioral Research, 50:6, 706-720.
Boker, S. M. (2013) Selection, Optimization, Compensation, and Equilibrium Dynamics. GeroPsych: The Journal of Gerontopsychology and Geriatric Psychiatry, 26:1, 61–73.
Boker, S. M., Neale, M., Maes, H., Wilde, M., Spiegel, M., Brick, T., Spies, J., Estabrook, R., Kenny, S., Bates, T., Mehta, P., & Fox, J. (2011) OpenMx: An Open Source Extended Structural Equation Modeling Framework. Psychometrika, 76:2, 306–317.
Boker, S., Cohn, J., Theobald, B., Matthews, I., Mangini, M., Spies, J., Amabadar, Z. & Brick, T. (2011) Something in the Way We Move: Motion Dynamics, not Perceived Sex, Influence Head Movements in Conversation. Journal of Experimental Psychology: Human Perception & Performance, 37:2, 631–640.
Boker, S. M., Molenaar, P. C. M., & Nesselroade, J. R. (2009) Issues in Intraindividual Variability: Individual Differences in Equilibria and Dynamics over Multiple Time Scales. Psychology and Aging, 24:4, 858–862.
Ashenfelter, K. T., Boker, S. M., Waddell, J. R., & Vitanov, N. (2009). Spatiotemporal Symmetry and Multifractal Structure of Head Movements during Dyadic Conversation. Journal of Experimental Psychology: Human Perception & Performance 34:4, 1072–1091.
Boker, S. M., Xu, M., Rotondo, J. L., and King, K. (2002) Windowed cross–correlation and peak picking for the analysis of variability in the association between behavioral time series. Psychological Methods, 7:3, 338–355.
Boker, S. M., Deboeck, P. R., Edler, C., & Keel, P. K. (2010) Generalized Local Linear Approximation of Derivatives from Time Series. In Statistical Methods for Modeling Human Dynamics: An Interdisciplinary Dialogue, S.–M. Chow & E. Ferrar (Eds). Boca Raton, FL: Taylor & Francis, pp 179–212.
Boker, S. M., Neale, M. C. & Klump, K. L. (2014) A Differential Equations Model for the Ovarian Hormone Cycle. In Handbook of Relational Developmental Systems: Emerging Methods and Concepts, P. C. Molenaar, R. Lerner, & K. Newell (Eds). New York: Guilford Press, pp 369–391
Boker, S. M., Neale, M. C. & Rausch, J. R. (2004) Latent Differential Equation Modeling with Multivariate Multi-Occasion Indicators. In Recent Developments on Structural Equation Models: Theory and Applications, K. van Montfort, H. Oud, & A. Satorra (eds), Amsterdam: Kluwer. 151–174