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Data Analytic Techniques for Dynamical Systems
Contributor(s): Boker, Steven M. (Editor), Wenger, Michael J. (Editor)
ISBN: 0805850139     ISBN-13: 9780805850130
Publisher: Psychology Press
OUR PRICE:   $61.70  
Product Type: Paperback - Other Formats
Published: January 2007
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Temporarily out of stock - Will ship within 2 to 5 weeks
Annotation: 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 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 books instructive nature, it serves as an excellent text for advanced courses on this particular technique.
Additional Information
BISAC Categories:
- Psychology | Statistics
Dewey: 150.11
LCCN: 2006016207
Series: Notre Dame Series on Quantitative Methodology
Physical Information: 0.6" H x 8.89" W x 6.17" (0.89 lbs) 292 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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
  • 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.