基本説明
Demonstrates 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.
Full Description
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.
Contents
Contributors
Series Foreword
Preface
Introduction
-Peter C. M. Molenaar and Karl M. Newell
I. Life Span Development
Person-Specific Analysis of the Dynamics of Weight Change
-Eric Loken
Neuromodulation of Fluctuations of Information Processing: Computational, Neural, and Genetic Perspectives
-Shu-Chen Li
Modeling Retest and Aging Effects in a Measurement Burst Design
-Martin Sliwinski, Lesa Hoffman, and Scott Hofer
Modeling Mother amp ndash Infant Interactions Using Hidden Markov Models
-Michael J. Rovine, Katerina O. Sinclair, and Cynthia A. Stifter
II. Dynamics of Learning
Decomposing the Performance Dynamics of Learning Through Time Scales
-Karl M. Newell, Gottfried Mayer-Kress, S. Lee Hong, and Yeou-Teh Liu
A State Space Approach to Representing Discontinuous Shifts in Change Processes
-Sy-Miin Chow and Guillaume Filteau
A Framework for Discrete Change
-Ingmar Visser, Brenda R. J. Jansen, and Maarten Speekenbrink
State Space Methods for Item Response Modeling of Multisubject Time Series
-Peter van Rijn, Conor V. Dolan, and Peter C. M. Molenaar
III. Modeling Issues
Regime-Switching Models to Study Psychological Process
-Ellen L. Hamaker, Raoul P. P. P. Grasman, and Jan Henk Kamphuis
Standard Error Estimation in Stationary Multivariate Time Series Models Using Residual-Based Bootstrap Procedures
-Guangjian Zhang and Sy-Miin Chow
Modeling Resilience With Differential Equations
-Steven M. Boker, Mignon A. Montpetit, Michael D. Hunter, and Cindy S. Bergeman
IV. Reflections and Prospects
On an Emerging Third Discipline of Scientific Psychology
-John R. Nesselroade
Index
About the Editors
