Data Analytic Techniques for Dynamical Systems
Автор:
Edited by Steven M. Boker, Michael J. Wenger, 296 стр., серия:
"Notre Dame Series on Quantitative Methodology",
издатель:
"Psychology Press", ISBN:
0805850120
Each volume in the "Notre Dame Series on Quantitative Methodology" features leading methodologists and substantive experts who provide instruction on innovative techniques designed to enhance quantitative skills in a substantive area. This latest volume focuses on the methodological issues and analyses pertinent to understanding psychological data from a dynamical system perspective. Dynamical systems analysis (DSA) is increasingly used to demonstrate time-dependent variable change. It is used more and more to analyze a variety of psychological phenomena such as relationships, development and aging, emotional regulation, and perceptual processes. The book opens with the best occasions for using DSA methods. The final two chapters focus on the application of dynamical systems methods to problems in psychology such as substance use and gestural dynamics. In addition, it reviews how and when to use: time series models from a discrete time perspective; ...
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