The aim of this 3 day course is to provide participants with an introduction to advanced psychometric models in analysis of multi-item patient-reported outcome measures (PROMs). The course will cover confirmatory factor analytic methods for categorical data, Rasch models, and other items response theory (IRT) models. Sessions will be delivered by external staff Jakob Bue Bjorner – Optum Patient Insights, who have an international reputation in advanced psychometric methods and ScHARR Staff Anju Keetharuth. The course will be interactive and practical. Sessions will be delivered using lectures and individual and small group practical exercises using real world examples.
By the end of this course participants should be able to:
- Perform item-level confirmatory factor analysis (CFA) of PROMs using Mplus software
- Understand the assumptions of CFA models, evaluate model fit, and revise the model
- Understand the similarities and differences between CFA models, Rasch models and other IRT models
- Perform IRT analyses using the Mplus software
- Understand the assumptions of Rasch and IRT models and the principles for testing the models
- Use results from IRT analyses to develop or select the optimal PROM for a particular research purpose
- Be aware of the use of other software for CFA, Rasch and IRT analyses.