Tutorial materials

Confirmatory Factor Analysis in Mplus

Introduction to the analysis of psychometric data emerging from ability tests and personality questionnaires, covering best practice for performing Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA)with scale and item-level test data in realistic conditions.

 

Level: beginner to Mplus.

 

Session 1. “From Exploratory to Confirmatory Factor Analysis (CFA)”. The session introduces the common factor model and discusses differences between Principal Component Analysis (PCA), Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). It also discusses the goodness of fit in factor analytic models. Download slides here.

Session 2 “Using CFA to analyse structure in tests and questionnaires”. The session outlines EFA and CFA common rules and best practice. It then shows how to analyse test scales and item-level test data, discussing some common problems with fitting factor models. It discusses several alternatives for incorporating multidimensional features of test data (hierarchical factor models, bifactor models etc.). Download slides here. Download slides here.

 

Practical sessions. Datasets and scripts used in practical sessions can be downloaded here [Day 1]   [Day 2]