Coming August 2026!

Add your email to receive updates about this course.

Thank You

Course curriculum

    1. Session 1: Introduction to Dynamic SEM and the Course

    2. Session 2: Multilevel Regression Refresher

    3. Session 3: SEM Refresher and Bridge to DSEM

    4. Session 4: Dynamic Systems Perspective in DSEM

    5. Session 5: Bayesian Refresher: Motivation for Use and Key Ingredients

    6. Session 6: Bayesian Refresher: Implementation and Interpretation

    7. Session 7: Introduction to Mplus

    1. Session 1: Intensive Longitudinal Data Structures

    2. Session 2: Preparing Data for DSEM in Mplus

    3. Session 3: Writing the DSEM Model as Statistical Equations and Diagrams

    4. Session 4: Translating the Statistical Model into Mplus Syntax

    1. Session 1: Stationarity and Autoregressive Dynamics

    2. Session 2: Basic Multilevel DSEM Model: Conceptual Structure

    3. Session 3: Implementing the Basic DSEM Model in Mplus

    4. Session 4: Interpreting Parameter Estimates in DSEM Output

    5. Session 5: Diagnosing Model Performance in DSEM

    6. Session 6: Multivariate and Cross-Lagged DSEM

    7. Session 7: Latent Dynamic Structural Equation Models

    1. Session 1: Priors in DSEM: Additional Considerations

    2. Session 2: Further Considerations about Priors

    3. Session 3: Sample Size and Time Point Requirements

    4. Session 4: Missing Data and Unequal Spacing

    5. Session 5: When Should You Use DSEM (and When Should You Not)?

    6. Session 6: Reporting and Transparency in DSEM

    7. Session 7: Extensions Beyond Mplus and Final Thoughts

About this course

  • 25 lessons
  • 6 hours of video content