Data Analytic Techniques for Dynamical Systems (Notre Dame Series On Quantitative Methodology Ser.)

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Synopsis
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.
Copyright:
2007

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9781135611538
Related ISBNs:
9780203936757, 9780805850130, 9780805850130, 9780805850123, 9780805850123
Publisher:
Taylor and Francis
Date of Addition:
Copyrighted By:
Lawrence Erlbaum Associates, Publishers
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Psychology, Mathematics and Statistics, Medicine
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
Steven M Boker
Edited by:
Michael J. Wenger

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