Individual Pathways of Change : Statistical Models for Analyzing Learning and Development
Book Details
Format
Hardback or Cased Book
Book Series
Decade of Behavior Series
ISBN-10
1433807726
ISBN-13
9781433807725
Publisher
American Psychological Association
Imprint
American Psychological Association
Country of Manufacture
US
Country of Publication
GB
Publication Date
May 15th, 2010
Print length
227 Pages
Weight
620 grams
Dimensions
26.30 x 18.00 x 1.90 cms
Product Classification:
Psychological methodology
Ksh 5,250.00
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Showcasing advanced time series techniques for tracking individual change, this work details how dynamic latent variable models uncover shifts in psychological states, test scores, and learning trajectories. It challenges traditional group approaches by emphasizing intra-individual analysis.
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.
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.
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