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
