In this Workshop the instructors, Anna Brown and Jan Stochl, introduced participants to the power of Mplus in the analysis of binary and ordinal psychometric data from ability tests and personality questionnaires.
Day 1. From Exploratory to Confirmatory Factor Analysis (CFA). We introduced the common factor model and discussed differences between Principal Component Analysis (PCA), Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). We also discussed the goodness of fit in factor analytic models.
Day 2. Using CFA to analyse structure in tests and questionnaires. We outlined EFA and CFA common rules and best practice. We then moved on to analysing real test scales and item-level test data, discussing some common problems with fitting common factor models. We discussed several alternatives for incorporating multidimensional features of test data (hierarchical factor models, bifactor models etc.).
Datasets and scripts used in practical sessions can be downloaded here.