Related Experiment Video
Updated: Aug 10, 2026

Computerized Adaptive Testing System of Functional Assessment of Stroke
Published on: January 7, 2019
Evidence for the validity of a Rasch model technique for identifying differential item functioning
1National Board of Medical Examiners, Philadelphia, PA 19104, USA.
This study demonstrates that simple Rasch models effectively detect differential item functioning (DIF) in medical certification exams. Interpretable DIF results depend on understanding group differences, not method complexity.
Area of Science:
- Medical Education
- Psychometrics
- Health Professions Education
Background:
- Differential Item Functioning (DIF) analysis is crucial for ensuring fairness in high-stakes examinations.
- Interpreting DIF results can be challenging, particularly when comparing diverse demographic groups.
Purpose of the Study:
- To analyze DIF in a medical specialty certification examination.
- To evaluate the interpretability of DIF results using a simple Rasch model procedure.
- To assess the utility of understanding group differences for DIF interpretation.
Main Methods:
- Employed a simple Rasch model procedure for DIF analysis.
- Compared physicians from different subspecialties.
- Compared physicians qualifying through different experiential pathways.
Main Results:
- DIF analyses yielded readily interpretable results.
- Interpretability was linked to known differences between the compared physician groups.
- The Rasch model procedure provided validity evidence for DIF evaluation.
Conclusions:
- Complex DIF procedures are unnecessary for interpretable results when group differences are known.
- Difficulty in interpreting DIF for demographic groups may stem from a lack of pertinent knowledge, not methodological limitations.
Related Concept Videos
Spearman's Rank Correlation Test
Spearman's test calculates correlation by...
Identifying Statistically Significant Differences: The F-Test
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...
Friedman Two-way Analysis of Variance by Ranks
Response Surface Methodology
The process of RSM involves several key steps:
Self-Report Tests of Personality

