Tutorial materials

Introduction to Mplus: latent variables, traits and classes.

Introduction to the Mplus modelling environment covering Exploratory Factor Analysis (EFA) with different rotations, Confirmatory Factor Analysis (CFA), regression and path analysis, multiple-group analysis and Latent Class Analysis (LCA).

Level: beginner to Mplus.

Session 1 introduces Mplus modelling environment and shows how to describe your data and variables. It then explores Mplus's modelling capabilities, covering Exploratory Factor Analysis (EFA) with different rotations, Confirmatory Factor Analysis (CFA), regression and path analysis. Continuous and categorical observed variables are covered. Download slides here.

Session 2 is devoted to models with multiple groups, exploring issues of measurement invariance with continuous and categorical variables. It starts with logistic regression to test for the presence of Differential Item Functioning (DIF). It then introduces the group-covariate approach and the multi-group approach with equivalence constraints. Finally, it explores the presence of unobserved homogeneous groups in the data with the Latent Class Analysis (LCA). Download slides here.

Practical sessions. Datasets and scripts used in practical sessions can be downloaded here.