1 citations · 1 across the 3 of their papers we have counts for
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★ 1 cited
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…