Cover image for Individual pathways of change : statistical models for analyzing learning and development
Title:
Individual pathways of change : statistical models for analyzing learning and development
Series:
Decade of behavior, 2000-2010
Edition:
1st ed.
Publication Information:
Washington, D.C. : American Psychological Association, c2010
Physical Description:
xv, 227 p. : ill. ; 27 cm.
ISBN:
9781433807725
Added Corporate Author:

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30000010251463 BF713.5 I53 2010 Open Access Book Book
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Summary

Summary

Individual Pathways of Change presents and applies cutting-edge time series analysis techniques for analyzing intra-individual change. Editors Peter C. M. Molenaar and Karl M. Newell demonstrate the practical benefits of intra-individual analysis by not only applying the new techniques to various learning or developmental problems, but also discussing implications for future applications.

The techniques in this book cover each of Bartholomew's four classes of dynamic latent variable models, and they are presented and applied to a wide range of topics, such as measuring shifts between different psychological states, differences in responses and test scores, and time scales that are present in the growth or decay of learning processes. The editors emphasize innovative frameworks and reveal the limitations of using group between-subject analysis to derive inferences about psychological processes.


Author Notes

Peter C. M. Molenaar, PhD , is a professor of human development in the Department of Human Development and Family Studies at The Pennsylvania State University, State College.

The general theme of his work involves the application of mathematical theories in the following fields of research:
singularity theory (in particular, catastrophe theory) to study developmental stage transitions, nonlinear signal analysis techniques to map theoretical models of cognitive information processing onto dynamically interacting neural sources, ergodic theory to study the relationships between intraindividual (idiographic) analyses and interindividual (nomothetic) analyses of psychological processes, advanced multivariate analysis techniques in quantitative genetics and developmental psychology, adaptive resonance theory neural networks to study the effects of nonlinear epigenetic processes, and computational control techniques to optimally guide developmental psychological processes and disease processes of individual subjects in real time.
Karl M. Newell, PhD , is the Marie Underhill Noll Chair of Human Performance and head of the Department of Kinesiology at The Pennsylvania State University, State College.

Dr. Newell's research interests lie in the area of human movement in general and motor learning and control specifically. His research focuses on the coordination, control, and skill of normal and abnormal human movement across the life span; developmental disabilities and motor skills; and the influence of drug and exercise on movement control.

One of the specific themes of his research is the study of variability in human movement and posture, with specific reference to the onset of aging and Parkinson's disease. His other major research theme is processes of change in motor learning and development--the focus of this book.


Table of Contents

Peter C. M. Molenaar and Karl M. NewellEric LokenShu-Chen LiMartin Sliwinski and Lesa Hoffman and Scott HoferMichael J. Rovine and Katerina O. Sinclair and Cynthia A. StifterKarl M. Newell and Gottfried Mayer-Kress and S. Lee Hong and Yeou-Teh LiuSy-Miin Chow and Guillaume FilteauIngmar Visser and Brenda R. J. Jansen and Maarten SpeekenbrinkPeter van Rijn and Conor V. Dolan and Peter C. M. MolenaarEllen L. Hamaker and Raoul P. P. P. Grasman and Jan Henk KamphuisGuangjian Zhang and Sy-Miin ChowSteven M. Boker and Mignon A. Montpetit and Michael D. Hunter and Cindy S. BergemanJohn R. Nesselroade
Contributorsp. xi
Series Forewordp. xiii
Prefacep. xv
Introductionp. 3
Part I Life Span Developmentp. 7
1 Person-Specific Analysis of the Dynamics of Weight Changep. 9
2 Neuromodulation of Fluctuations of Information Processing: Computational, Neural, and Genetic Perspectivesp. 23
3 Modeling Retest and Aging Effects in a Measurement Burst Designp. 37
4 Modeling Mother-Infant Interactions Using Hidden Markov Modelsp. 51
Part II Dynamics of Learningp. 69
5 Decomposing the Performance Dynamics of Learning Through Time Scalesp. 71
6 A State Space Approach to Representing Discontinuous Shifts in Change Processesp. 87
7 A Framework for Discrete Changep. 109
8 State Space Methods for Item Response Modeling of Multisubject Time Seriesp. 125
Part III Modeling Issuesp. 153
9 Regime-Switching Models to Study Psychological Processesp. 155
10 Standard Error Estimation in Stationary Multivariate Time Series Models Using Residual-Based Bootstrap Proceduresp. 169
11 Modeling Resilience With Differential Equationsp. 183
Part IV Reflections and Prospectsp. 207
12 On an Emerging Third Discipline of Scientific Psychologyp. 209
Indexp. 219
About the Editorsp. 227