Timo Gnambs

Exploring Differential Item Functioning through Machine Learning: A Review of Rasch Trees and Regularized Moderated Rasch Models

Detecting and interpreting differential item functioning (DIF) is critical for ensuring the fairness and validity of measurement instruments. Combinations of psychometric models with data-driven machine learning (ML) approaches have been introduced to facilitate comprehensive DIF...