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Book SynopsisAdditional Resource Materials
Human behavior would not be interesting to us if it remained the same from one moment to the next. Moreover, we tend to be sensitive to changes in people''s behavior, especially when such change impacts on our own, and other''s, behavior. This book describes a variety of techniques for investigating change in behavior. It employs conventional time series methods, as well as recently developed methodology using nonlinear dynamics, including chaos, a term that is not easy to define, nor to confirm.
Although nonlinear methods are being used more frequently in psychology, a comprehensive coverage of methods, theory and applications, with a particular focus on human behavior, is needed. Between these covers, the reader is led through various procedures for linear and nonlinear time series analysis, including some novel procedures that allow subtle temporal aspects of human cognition to be detected. Analyses of reaction times, heart-rate, psychomot
Trade Review"...researchers have at their disposal an accessible, thorough and comprehensive handbook of nonlinear dynamical systems methods, specifically oriented towards applications in psychology....Heath surveys all of the most important areas being applied in current research. The range is truly impressive, as is the adherence to examples based either on real psychological experiments or on simulations motivated by psychological questions....Heath has done the psychology community an inestimable service. This book should be on the reference shelf of every practicing researcher, not just in psychology but in the social sciences as well. I also think that it should be required reading for any advanced course in quantitative methods, particularly at the graduate level."
—Journal of Society for Chaos Theory
Table of ContentsContents: Preface. Dynamic Psychology: An Introduction to Time Series Analysis. The Analysis of Nonstationary Time Series. Linear and Nonlinear Systems in Psychological Research. Nonlinear System Identification Using a Gradient-Descent Function Minimization Method. Graphical Representation of Nonlinear Dynamics. Quantitative Indices of Nonlinear Dynamics. Noise Reduction Methods and Hypothesis Testing for Nonlinear Systems. Control of Chaos and Its Psychological Applications. Complexity Theory and Psychology. Applications of Nonlinear Techniques in Psychology. Epilog. Appendix.
