| Review: |
Dynamical systems theory is becoming popular for understanding a wide variety of psychological phenomena such as social relations, family interrelationships, child development, ageing, emotional self-regulation and perceptual processes. These all have the common notion of some lawful time-dependent way in which variables change; ways of expressing this time-dependence are the basis of dynamical systems analysis (DSA) where dynamical systems hypotheses are tested by fitting statistically-based models to empirical data. The DSA approach involves instantiating alternative theories as statistical models and then testing their comparative goodness-of-fit data. This volume was the result of the conference, held at the University of Notre Dame, that focused on the methodological issues and analyses that are pertinent to the understanding of psychological data from the perspective of dynamic systems. It covers a sample of the most popular methods for statistical analysis of dynamical systems. |