3 papers
stat.ME2026
Refining Effect-Size Measures and Classification for Differential Item Functioning: Toward Unified Guidelines Across Methods
Michaela Cichrová, Adéla Hladká, Patrícia Martinková
Differential Item Functioning (DIF) analysis is used to identify potentially biased items in multi-item measurements. In addition to testing the statistical significance, it is ess…
stat.ME2026
Sequential generalized kernel equating: Providing comparable scores across multiple test forms with nonequivalent groups and differently measured covariates
Michaela Vařejková, Patrícia Martinková, Eva Potužníková
Test equating using covariates may be applied to provide comparable scores from multiple test forms when no anchor items are available. However, its performance may be compromised…
cs.CL2026
Response-free item difficulty modelling for multiple-choice items with fine-tuned transformers: Component-wise representation and multi-task learning
Jan Netík, Patrícia Martinková
Item difficulty must often be estimated before test administration, when no responses are yet available for calibration. While most response-free difficulty modelling approaches de…