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Edition: 1
Publisher: Psychology Press
Binding: Kindle Edition
ISBN: B009W4FDZ2
Data Analytic Techniques for Dynamical Systems (Notre Dame Series on Quantitative Methodology)
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. Medical books Data Analytic Techniques for Dynamical Systems . 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 Medical books Data Analytic Techniques For Dynamical Systems By Steven M. Boker Paperback. Store Search search Title, ISBN and Author Data Analytic Techniques for Dynamical Systems by Steven M. Boker Estimated delivery 3-12 business days Format Paperback Condition Brand New 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
Download link for Data Analytic Techniques For Dynamical Systems Ebook
Medical Book Data Analytic Techniques for Dynamical Systems
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
- stochastic differential equations in continuous time
- estimating continuous time differential equation models
- multilevel models of differential equations to estimate within-person dynamics and the corresponding population means
- new SEM models for dynamical systems data
Data Analytic Techniques for Dynamical Systems is beneficial to advanced students and researchers in the areas of developmental psychology, family studies, language processes, cognitive neuroscience, social and personality psychology, medicine, and emotion. Due to the book’s instructive nature, it serves as an excellent text for advanced courses on this particular technique.
