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DIFSIB: A SIBTEST Package
1University of Arkansas Fayetteville, Fayetteville, AR, USA.
Applied Psychological Measurement
|December 13, 2021
Summary
The R package DIFSIB offers direct translations of SIBTEST procedures for differential item functioning analysis. This update enhances accessibility and ease of use for researchers and practitioners.
Area of Science:
- Psychometrics
- Statistical Software Development
Background:
- Differential item functioning (DIF) analysis is crucial for ensuring item fairness in assessments.
- Existing procedures like SIBTEST, Crossing-SIBTEST, and POLYSIBTEST, last updated in 2005, require accessible implementations.
- The need for updated and easily usable software for DIF analysis is recognized in psychometric research.
Purpose of the Study:
- To provide a direct R translation of the SIBTEST, Crossing-SIBTEST, and POLYSIBTEST procedures.
- To enhance accessibility of the most recent versions of these DIF analysis methods for researchers.
- To facilitate easier software improvement and maintenance for DIF analysis tools.
Main Methods:
- Direct translation of Fortran code for SIBTEST, Crossing-SIBTEST, and POLYSIBTEST into R.
- Development and packaging of these translated procedures within the R environment.
- Implementation of established psychometric methods for differential item functioning analysis.
Main Results:
- The R package DIFSIB is now available, offering direct implementations of SIBTEST, Crossing-SIBTEST, and POLYSIBTEST.
- Researchers and practitioners can now easily access and utilize these updated DIF analysis procedures.
- The translation facilitates continued development and improvement of the software.
Conclusions:
- The DIFSIB package significantly improves access to up-to-date DIF analysis tools.
- This R package supports researchers in conducting robust differential item functioning analyses.
- The availability of DIFSIB promotes advancements in psychometric software and methodology.
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