Structural Equation Modeling in Longitudinal Research: Sample Schedule

Day 1: Basic Issues in Longitudinal Data and Structural Equation Modeling
9:00-9:15A: Introduction to structural equation modeling in longitudinal data analysis
9:15-10:30B: Structural regression with two-occasion longitudinal data
10:45-12:00C: Computer techniques for longitudinal regression
1:30- 3:00D: Modeling change using latent variable factor analysis models
3:15- 4:30E: Computer techniques for longitudinal factor analysis
4:30- 5:00F: References; question & answer session
Day 2: Latent Growth and Change Using Structural Equation Modeling
9:00-10:15G: Foundations of latent growth curve and mixed-effects multilevel models
10:15-12:00H: Computer techniques for longitudinal mixed-effects analyses
1:30- 2:45I: Multiple groups in latent growth curve and mixed-effects models
2:45- 4:30J: Computer techniques for multiple group data
4:30- 5:00K: References; question & answer session
Day 3: Dealing with Unbalanced and Incomplete Longitudinal Data
9:00-10:15L: Basic theory for dealing with unbalanced and incomplete data
10:45-12:00M: Computer techniques for unbalanced and incomplete data
1:30- 2:45N: Incomplete data solutions for more complex design problems
3:15- 4:30O: Computer techniques for complex designs
4:30- 5:00P: References; question & answer session
Day 4: Issues in the Analysis of Categorical Longitudinal Data
9:00-10:15Q: Concepts of change based on categorical outcomes
10:45-12:00R: Computer techniques for longitudinal categorical data
1:30- 2:45S: Advanced issues in longitudinal categorical data, including survival
3:15- 4:30T: Computer techniques for longitudinal categorical data
4:30- 5:00U: References; question & answer session
Day 5: Multivariate Extensions of Longitudinal Structural Modeling
9:00-10:30V: Modeling change using latent difference score models
10:45-12:00W: Computer techniques for longitudinal dynamic data
1:30- 3:00X: Multivariate dynamics based on latent difference scores
3:15- 4:30Y: Computer techniques for longitudinal dynamic data
4:30- 5:00Z: References; question & answer session