Individual Pathways of Change: Statistical Models for Analyzing Learning and Development

by Molenaar, Peter C. M.

• ISBN13: 9781433807725
• ISBN10: 1433807726
• Edition: 1st
• Format: Hardcover
• Copyright: 2010-05-01
• Publisher: AMERICAN PSYCHOLOGICAL ASSOCIATION

Summary

Individual Pathways of Change in Learning and Development 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. With more examples and contexts than any other book on the subject, this book is essential reading for students, professors, and researchers interested in the analysis of intra-individual change in learning and development.

Author Biography

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 theoretcal 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 Unversity, 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

Contributors	p. xi
Series Foreword	p. xiii
Preface	p. xv
Introduction	p. 3
Life Span Development	p. 7
Person-Specific Analysis of the Dynamics of Weight Change	p. 9
Neuromodulation of Fluctuations of Information Processing: Computational, Neural, and Genetic Perspectives	p. 23
Modeling Retest and Aging Effects in a Measurement Burst Design	p. 37
Modeling Mother-Infant Interactions Using Hidden Markov Models	p. 51
Dynamics of Learning	p. 69
Decomposing the Performance Dynamics of Learning Through Time Scales	p. 71
A State Space Approach to Representing Discontinuous Shifts in Change Processes	p. 87
A Framework for Discrete Change	p. 109
State Space Methods for Item Response Modeling of Multisubject Time Series	p. 125
Modeling Issues	p. 153
Regime-Switching Models to Study Psychological Processes	p. 155
Standard Error Estimation in Stationary Multivariate Time Series Models Using Residual-Based Bootstrap Procedures	p. 169
Modeling Resilience With Differential Equations	p. 183
Reflections and Prospects	p. 207
On an Emerging Third Discipline of Scientific Psychology	p. 209
Index	p. 219
About the Editors	p. 227
Table of Contents provided by Ingram. All Rights Reserved.