Advances in Longitudinal Methods in the Social and Behavioral Sciences
eBook - PDF

Advances in Longitudinal Methods in the Social and Behavioral Sciences

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  3. Available on iOS & Android
eBook - PDF

Advances in Longitudinal Methods in the Social and Behavioral Sciences

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About This Book

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Yes, you can access Advances in Longitudinal Methods in the Social and Behavioral Sciences by Jeffrey R. Harring, Gregory R. Hancock in PDF and/or ePUB format, as well as other popular books in Education & Teaching Social Science. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Information Age Publishing
Year
2013
ISBN
9781617358913
Topic
Education
Subtopic
Teaching Social Science

Table of contents

  1. Cover
  2. Series
  3. Advances in Longitudinal Methods in the Social and Behavioral Sciences
  4. Library of Congress Cataloging-in-Publication Data
  5. Contents
  6. Foreword
  7. Preface
  8. Acknowledgments
  9. Part I: Modeling Longitudinal Data: Examining Facets of Change or Variability
  10. CHAPTER 1: A Template for Describing Individual Differences in Longitudinal Data, with Application to the Connection Between Learning and Ability
  11. CHAPTER 2: On Interpretable Reparameterizations of Linear and Nonlinear Latent Growth Curve Models
  12. CHAPTER 3: Mood Changes Associated with Smoking in Adolescents
  13. CHAPTER 4: Tethering Theory to Method
  14. CHAPTER 5: Dynamic Systems Analysis of Affective Processes in Dyadic Interactions Using Differential Equations
  15. Part II: Drawing Valid Inferences: Longitudinal Design Considerations and Model Assumptions
  16. CHAPTER 6: Sensitivity Analysis of Mixed-Effects Models When Longitudinal Data Are Incomplete
  17. CHAPTER 7: Finite Mixtures of Nonlinear Mixed-Effects Models
  18. CHAPTER 8: Growth Mixture Modeling and Causal Inference
  19. Part III: The Role of Measurement in Modeling Within-Subject and Between-Subject Effects
  20. CHAPTER 9: Disaggregating Within-Person and Between-Person Effects in Multilevel and Structural Equation Growth Models
  21. CHAPTER 10: Considering Alternative Metrics of Time
  22. CHAPTER 11: Valid Measurement Without Factorial Invariance
  23. CHAPTER 12: The Discrimination-Censoring Paradox in Item Response Growth Models
  24. About the Contributors