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.ME2025
A novel nonparametric framework for DIF detection using kernel-smoothed item response curves
Adéla Hladká, Patrícia Martinková
This study introduces a novel nonparametric approach for detecting Differential Item Functioning (DIF) in binary items through direct comparison of Item Response Curves (IRCs). Bui…
cs.HC2024
Enhancing Psychometric Analysis with Interactive SIA Modules
Patrícia Martinková, Jan Netík, Adéla Hladká
ShinyItemAnalysis (SIA) is an R package and shiny application for an interactive presentation of psychometric methods and analysis of multi-item measurements in psychology, educati…