difNLR: DIF and DDF Detection by Non-Linear Regression Models, Version 1.4.1

0563669 - ÚI 2023 RIV CZ eng L4 - Software
Hladká, Adéla - Martinková, Patrícia
difNLR: DIF and DDF Detection by Non-Linear Regression Models, Version 1.4.1.
Internal code: difNLR - Version 1.4.1 ; 2022
Technical parameters: R software package
Economic parameters: Umožňuje zadavatelům znalostních a psychologických testů provádět analýzu férovosti testů a jejich binárních, ordinálních a nominálních položek. Obsahuje nové metody založené na zobecnění logistické regresi. Nová verze nabízí predikci, různé parametrizace a vylepšenou grafickou reprezentaci výsledků.
R&D Projects: GA ČR(CZ) GA21-03658S
Institutional support: RVO:67985807
Keywords : differential item functioning * differential distractor functioning * item analysis * non-linear regression * logistic regression
OECD category: Statistics and probability
https://CRAN.R-project.org/package=difNLR

The difNLR package v 1.3.0 contains Differential Item Functioning (DIF) detection method based on non-linear regression for binary items. Both uniform and non-uniform DIF effects can be detected when considering one focal group. Package also includes models for DIF detection among ordinal items and for detection of Differential Distractor Functioning (DDF) among nominal items. Available under GPL-3 licence.
Permanent Link: https://hdl.handle.net/11104/0335558


Research data: CRAN