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Advances in Longitudinal Methods in the Social and Behavioral Sciences.

By: Contributor(s): Material type: TextTextSeries: CILVR series on latent variable methodologyPublication details: Charlotte : IAP - Information Age Publishing, Inc., 2014.Description: 1 online resource (354 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781617358913
  • 1617358916
Subject(s): Genre/Form: Additional physical formats: Print version:: Advances in Longitudinal Methods in the Social and Behavioral Sciences.DDC classification:
  • 300.72/1
LOC classification:
  • H61 ǂb A3937 2012eb
Online resources:
Contents:
Cover; Series; Advances in Longitudinal Methods in the Social and Behavioral Sciences; Library of Congress Cataloging-in-Publication Data; Contents; Foreword; Preface; Acknowledgments; Part I: Modeling Longitudinal Data: Examining Facets of Change or Variability; CHAPTER 1: A Template for Describing Individual Differences in Longitudinal Data, with Application to the Connection Between Learning and Ability; CHAPTER 2: On Interpretable Reparameterizations of Linear and Nonlinear Latent Growth Curve Models; CHAPTER 3: Mood Changes Associated with Smoking in Adolescents.
CHAPTER 4: Tethering Theory to MethodCHAPTER 5: Dynamic Systems Analysis of Affective Processes in Dyadic Interactions Using Differential Equations; Part II: Drawing Valid Inferences: Longitudinal Design Considerations and Model Assumptions; CHAPTER 6: Sensitivity Analysis of Mixed-Effects Models When Longitudinal Data Are Incomplete; CHAPTER 7: Finite Mixtures of Nonlinear Mixed-Effects Models; CHAPTER 8: Growth Mixture Modeling and Causal Inference; Part III: The Role of Measurement in Modeling Within-Subject and Between-Subject Effects.
CHAPTER 9: Disaggregating Within-Person and Between-Person Effects in Multilevel and Structural Equation Growth ModelsCHAPTER 10: Considering Alternative Metrics of Time; CHAPTER 11: Valid Measurement Without Factorial Invariance; CHAPTER 12: The Discrimination-Censoring Paradox in Item Response Growth Models; About the Contributors.
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Print version record.

Cover; Series; Advances in Longitudinal Methods in the Social and Behavioral Sciences; Library of Congress Cataloging-in-Publication Data; Contents; Foreword; Preface; Acknowledgments; Part I: Modeling Longitudinal Data: Examining Facets of Change or Variability; CHAPTER 1: A Template for Describing Individual Differences in Longitudinal Data, with Application to the Connection Between Learning and Ability; CHAPTER 2: On Interpretable Reparameterizations of Linear and Nonlinear Latent Growth Curve Models; CHAPTER 3: Mood Changes Associated with Smoking in Adolescents.

CHAPTER 4: Tethering Theory to MethodCHAPTER 5: Dynamic Systems Analysis of Affective Processes in Dyadic Interactions Using Differential Equations; Part II: Drawing Valid Inferences: Longitudinal Design Considerations and Model Assumptions; CHAPTER 6: Sensitivity Analysis of Mixed-Effects Models When Longitudinal Data Are Incomplete; CHAPTER 7: Finite Mixtures of Nonlinear Mixed-Effects Models; CHAPTER 8: Growth Mixture Modeling and Causal Inference; Part III: The Role of Measurement in Modeling Within-Subject and Between-Subject Effects.

CHAPTER 9: Disaggregating Within-Person and Between-Person Effects in Multilevel and Structural Equation Growth ModelsCHAPTER 10: Considering Alternative Metrics of Time; CHAPTER 11: Valid Measurement Without Factorial Invariance; CHAPTER 12: The Discrimination-Censoring Paradox in Item Response Growth Models; About the Contributors.

Includes bibliographical references.

English.

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