Related Experiment Video
Updated: Jan 9, 2026

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
The Effect of the Question Mark Option in Progress Testing: A Large-Scale Longitudinal Study
Elise V van Wijk1, Jeroen Donkers2, Peter C J de Laat3
1Center for Innovation in Medical Education, Leiden University Medical Center, The Netherlands.
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.
More Related Videos
Related Concept Videos
Longitudinal Research
Cochran's Q Test
Longitudinal Studies
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Statistical Hypothesis Testing
Statistical significance measures the probability that an observed result occurred by chance. If this probability, known as...
Detection of Gross Error: The Q Test

