Abstract
This thesis focuses on topic of Differential Item Functioning (DIF), a phenomenon that can arise in various contexts of educational, psychological, or health-related multi-item measurements. We discuss several statistical methods and models to detect DIF among dichotomous, ordinal, and nominal items.