ArticleAdvances in health sciences education : theory and practice2024
An experimental comparison of multiple-choice and short-answer questions on a high-stakes test for medical students.
Article in Advances in health sciences education : theory and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Comparison of cognitive workload between very short answer questions and multiple-choice questions: an eye-tracking experiment.Medical education online · 2026Trial
- Pedagogical Efficacy of LLM-Generated Synthetic Data Versus Real-World Clinical Records: A Randomized Controlled Non-Inferiority Trial.Perspectives on medical education · 2026Trial
- Evaluation of the Bridge-in, Objective, Preassessment, Participatory Learning, Postassessment, and Summary-Based Instructional Model in Disaster Nursing: Quasi-Experimental Study.JMIR medical education · 2026Article
- Comparative analysis of short answer questions and multiple-choice questions in formative assessment of first-year medical students.BMC medical education · 2026Article
- Item analysis and performance of EMQ, MCQ, and SAQ in dental education and students' perception of extended-matching questions.BMC medical education · 2026Article
- First Implementation of a Point-of-Care Ultrasound Course in Undergraduate Medical Students in Peru: Mixed Methods Study.JMIR formative research · 2026Article
- Visualizing cognitive processes in medical education: Forward and backward reasoning in a digital family medicine assessment.GMS journal for medical education · 2026Article
- Exploring the effectiveness and awareness of Anki flashcard application on medical student's academic performance: a cross-sectional study from Saudi Arabia.Frontiers in medicine · 2026Article
- Article
- Question format is the best predictor of item discrimination: a multivariable analysis.Journal of microbiology & biology education · 2025Article
- The Generation and Use of Medical MCQs: A Narrative Review.Advances in medical education and practice · 2025Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in automated scoring technology have made it practical to replace multiple-choice questions (MCQs) with short-answer questions (SAQs) in large-scale, high-stakes assessments. However, most previous research comparing these formats has used small examinee samples testing under low-stakes conditions. Additionally, previous studies have not reported on the time required to respond to the two item types. This study compares the difficulty, discrimination, and time requirements for the two formats when examinees responded as part of a large-scale, high-stakes assessment. Seventy-one MCQs were converted to SAQs. These matched items were randomly assigned to examinees completing a high-stakes assessment of internal medicine. No examinee saw the same item in both formats. Items administered in the SAQ format were generally more difficult than items in the MCQ format. The discrimination index for SAQs was modestly higher than that for MCQs and response times were substantially higher for SAQs. These results support the interchangeability of MCQs and SAQs. When it is important that the examinee generate the response rather than selecting it, SAQs may be preferred. The results relating to difficulty and discrimination reported in this paper are consistent with those of previous studies. The results on the relative time requirements for the two formats suggest that with a fixed testing time fewer SAQs can be administered, this limitation more than makes up for the higher discrimination that has been reported for SAQs. We additionally examine the extent to which increased difficulty may directly impact the discrimination of SAQs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.