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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:
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Chapters edited by Molenaar, time series analysis techniques. -- Hardcover. Condition: good-only (some marks) with very good dust jacket. ISBN 9781433807725. Bestandsnummer des Verkäufers 33497
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Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781433807725
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Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781433807725
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Hardcover. Zustand: new. Hardcover. 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781433807725
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