Year: 2020
Type: article
Abstract: Differential item functioning (DIF) and differential distractor functioning (DDF) are important topics in psychometrics, pointing to potential unfairness in items with respect to minorities or different social groups.Various methods have been proposed to detect these issues.The difNLR R package extends DIF methods currently provided in other packages by offering approaches based on generalized logistic regression models that account for possible guessing or inattention, and by providing methods to detect DIF and DDF among ordinal and nominal data.In the current paper, we describe implementation of the main functions of the difNLR package, from data generation, through the model fitting and hypothesis testing, to graphical representation of the results.Finally, we provide a real data example to bring the concepts together.
Source: The R Journal
DOI: 10.32614/rj-2020-014
Authors: Adéla Hladká, Patrícia Martinková
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W3091832279