Tutorial materials

Introduction to Longitudinal Modelling

Introduction to most popular longitudinal designs and models, and issues of measurement invariance across time. Models include autoregressive, latent dynamic models, and latent growth models, and the growth mixture modelling approach to exploring typical development trajectories in longitudinal data. All modelling is carried out using Mplus.

 

Session 1. The course starts with a discussion of basic longitudinal designs. The session introduces models for change with observed and latent variables, suitable for measures taken at just two time points. Next, autoregressive and latent dynamic models are discussed. Download slides here.

 

Session 2. The second session is devoted to growth modelling with measures taken at three or more time points, including the sequential (accelerated) cohort design. Download slides here.

 

Session 3 introduces the growth mixture modelling approach to exploring typical development trajectories in longitudinal data. The course ends with a discussion of issues of measurement invariance across time. Download slides here.

 

Session 4 introduces the sequential cohort design in longitudinal data. Download slides here.

 

Session 5 introduces the Measurement models in longitudinal data analysis. Download slides here.

 

Archives containing descriptions of practical exercises, data and Mplus scripts we used in practical sessions can be downloaded here.