Abstract
INTRODUCTION: Formula scoring, widely used in medical progress tests (PT), includes a question mark option to discourage guessing, but this feature may disadvantage risk-averse students and bias results due to test-taking strategies. To enhance reliability and more accurately assess ability, Dutch medical schools recently transitioned to a computer adaptive-PT (CA-PT) based on Item Response Theory, which adjusts question difficulty dynamically, excluding the question mark option. This provided a unique opportunity to evaluate the impact of the question mark option in a large cohort. We specifically explored the relationship between question mark use in conventional PT and performance on CA-PT.
METHODS: Retrospective data from medical students across seven faculties who took both PT formats were analyzed. Z-scores for total score and question mark score (number of unanswered questions) in the conventional PT, and theta score for the CA-PT were assessed. A linear model assessed the effect of the question mark score on theta, corrected for the conventional PT-score. Cluster analysis explored student subgroups per year.
RESULTS: Students with similar conventional PT scores who left more questions unanswered on the conventional PT generally performed better on CA-PT. This effect diminished as students advanced through their studies. Cluster analysis revealed a variable effect between different students, most pronounced in year 4, and a reverse effect in year 5.
DISCUSSION: Question mark option use significantly impacted student performance on PT, with a remarkable variability among students. This variability suggests that formula scoring captures more than knowledge alone, highlighting the need to align scoring methods with intended assessment goals.
| Original language | English |
|---|---|
| Pages (from-to) | 891-904 |
| Number of pages | 14 |
| Journal | Perspectives on medical education |
| Volume | 14 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 3 Dec 2025 |
Keywords
- Educational Measurement/methods
- Female
- Humans
- Longitudinal Studies
- Male
- Netherlands
- Reproducibility of Results
- Retrospective Studies
- Students, Medical/statistics & numerical data
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