Dynamic systems methods in the study of development
A practice-oriented approach


Paul van Geert link

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Bio: Paul van Geert has done pioneering work in building dynamic systems models and theories in the field of language and cognitive development, education, social development and the general theory of developmental mechanisms (Van Geert, 1998; 1991). His models are based on theories from ecology and action theory and describe dynamics on the short and long term time scale. In addition to model building, he has also explored the study of intra-individual variability as an indicator of underlying developmental processes and the use of statistical simulation techniques in the description of individual-based time-serial data sets.

Selected publications

1. Van Geert, P. and Steenbeek, H. (2006). The dynamics of scaffolding. New Ideas in Psychology, 23 (3), 115-128.
2. Van Geert, P. (2003). Dynamic systems approaches and modeling of developmental processes. In J. Valsiner and K. J. Conolly (Eds.), Handbook of developmental Psychology. London: Sage. Pp. 640-672.
3. Van Geert, P. & van Dijk, M. (2002). Focus on variability: New tools to study intra-individual variability in developmental data. Infant Behavior & Development 151 (2002) 1-35
4. Van Geert, P. (1998). A dynamic systems model of basic developmental mechanisms: Piaget, Vygotsky and beyond. Psychological Review, 105, Vol. 5, No. 4, 634-677

Ellen Hamaker link

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Bio: Ellen Hamaker studied psychology at Utrecht University. After obtaining a master in clinical psychology she changed over to psychometrics and in 2004 she received her Ph.D. from the University of Amsterdam. Her specializations are time series analysis and structural equation modeling. In 2005 she obtained a VENI grant for her proposal "Time series analysis to study nonstationary psychological processes," which focuses on applying existing time series techniques to psychological research questions.
Currently she is working as an assistant professor in Methodology and Statistics of the Faculty of Social Sciences at Utrecht University, where she teaches multivariate statistics.

Selected publications

1. Hamaker, E. L., Nesselroade, J. R. and Molenaar, P. C. M. (2007). The integrated trait-state model. Journal of Research in Personality, 41, 295-315.
2. Hamaker, E. L., Dolan, C. V. and Molenaar, P. C. M. (2005). Statistical modeling of the individual: Rationale and application of multivariate stationary time series analysis. Multivariate Behavioral Research, 40 (2), 207-233.
3. Hamaker, E. L. (2005). Conditions for the equivalence of the autoregressive latent trajectory model and a latent growth curve model with autoregressive disturbances. Sociological Methods and Reasearch, 33 (3), 404-418.
4. Hamaker, E. L., Dolan, C. V. and Molenaar, P. C. M. (2003). ARMA-based SEM when the number of time points T exceeds the number of cases N: Raw data maximum likelihood. Structural Equation Modeling, 10 (3), 352-379.
5. Hamaker, E. L., Dolan, C. V. and Molenaar, P. C. M. (2002). On the nature of SEM estimates of ARMA parameters. Structural Equation Modeling, 9 (3), 347-368.

Tom Hollenstein link

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Bio: Tom Hollenstein is one of the founders of the state space methodology (Lewis, Lamey & Douglas, 1999) which maps the structural and temporal properties of dyadic interactions. This technique offers the possibility to study real-time interactions from a dyadic perspective because expressions of both partners can be displayed and quantified at the same time. His work focuses on testing the hypothesis of adolescence as a transitional period by means of changes in the variability of the system as it moves from one stable pattern to another (Granic, Hollenstein, Dishion, & Patterson, 2003; Granic, & Hollenstein, 2003; Hollenstein, Granic, Stoolmiller, & Snyder, 2004).

Selected publications

1. Hollenstein, T. (in press). State space grids: Analyzing dynamics across development. International Journal of Behavioral Development.
2. Hollenstein, T., & Lewis, M. D. (2006). A state space analysis of emotion and flexibility in parent-child interactions. Emotion, 6, 663-669.
3. Granic, I., & Hollenstein, T. (2006). A survey of dynamic systems methods for developmental psychopathology. In D. Cicchetti (Ed.) Handbook of Development and Psychopathology, New York: Wiley.
4. Martin, C. L., Fabes, R. A., Hanish, L. D., & Hollenstein, T. (2005). Social dynamics in the preschool. Developmental Review, 25, 299-327.
5. Hollenstein, T., Granic, I., Stoolmiller, M., & Snyder, J. (2004). Rigidity in parent-child interactions and the development of externalizing and internalizing behavior in early childhood. Journal of Abnormal Child Psychology, 32, 595-607.