Part I. Measurement and Design
Chapter 1. Foundational Issues of Design and Measurement in Developmental Research
Chapter 2. Causal Inference, Identification, and Plausibility
Chapter 3. Accelerated Longitudinal Designs
Chapter 4. Time-Scale-Dependent Longitudinal Designs
Chapter 5. Event Frequency Measurement
Chapter 6. The Impact of Scaling and Measurement Methods on Individual Differences in Growth
Chapter 7. Investigating Factorial Invariance in Longitudinal Data
Part II. Approaches to Data Collection
Chapter 8. Foundational Issues in Longitudinal Data Collection
Chapter 9. The Use of Large-Scale Data Sets for the Study of Developmental Science
Chapter 10. Telemetrics and Online Data Collection
Chapter 11. Collecting and Analyzing Longitudinal Diary Data
Chapter 12. Retrospective Methods in Developmental Science
Chapter 13. Peer Ratings
Part III. Interindividual Longitudinal Analysis
Chapter 14. Foundational Issues in Investigating Development as Interindividual Variation
Chapter 15. Analysis of Experimental and Quasi-Experimental Data
Chapter 16. Autoregressive and Cross-Lagged Panel Analysis for Longitudinal Data
Chapter 17. Analyzing Change between Two or More Groups
Chapter 18. Mediation Models for Developmental Data
Part IV. Intraindividual Longitudinal Analysis
Chapter 19. Foundational Issues in Intraindividual Longitudinal Analysis
Chapter 20. Dynamic Factor Analysis and Control of Developmental Processes
Chapter 21. P-Technique Factor Analysis
Chapter 22. Hazard, Event History, and Survival Modeling
Part V. Combining Interindividual and Intraindividual Longitudinal Analysis
Chapter 23. Foundational Issues in the Contemporary Modeling of Longitudinal Trajectories
Chapter 24. Growth Curve Modeling from a Structural Equation Modeling Perspective
Chapter 25. Growth Curve Modeling from a Multilevel Model Perspective
Chapter 26. Nonlinear Growth Modeling
Chapter 27. Group-Based Trajectory Modeling in Developmental Science
Chapter 28. Longitudinal Mixture Models and the Identification of Archetypes
Chapter 29. Multilevel Structural Equation Modeling
Part VI. Nonindependent Data Analysis
Chapter 30. Foundational Issues in Nonindependent Data Analysis
Chapter 31. Dyadic Data Analyses in a Developmental Context
Chapter 32. Applying the Social Relations Model to Developmental Research
Chapter 33. Analysis of Static Social Networks and Their Developmental Effects
Chapter 34. Actor-Based Model for Network and Behavior Dynamics
Part VII. Special Topics in Data Analysis
Chapter 35. Configural Frequency Analysis in Developmental Research
Chapter 36. Cluster Analysis and Latent Class Clustering Techniques
Chapter 37. Meta-Analysis in Developmental Science
Chapter 38. Evaluating Gene-Environment Interplay
Chapter 39. Epidemic Models of the Onset of Social Activities
Chapter 40. Dynamic systems
Chapter 41. Planned missing data designs for developmental research.