Evidence map›Paper›PMID 38694350›Full record

ArticleAnnals of medicine and surgery (2012)2024

The equation for medical multiple-choice question testing time estimation.

Chatchai Kreepala, Nattawut Keeratibharat, Sekdusit Aekgawong, Krittanont Wattanavaekin, Taechasit Danjittrong, Thitikorn Juntararuangtong, Theetad Chombandit

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Article in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chatchai KreepalaSchool of Internal Medicine.
Nattawut KeeratibharatSchool of Surgery, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima.
Sekdusit AekgawongSchool of Surgery, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima.
Krittanont WattanavaekinDepartment of Surgery, Faculty of Medicine, Ramathibodi hospital, Mahidol University, Bangkok.
Taechasit DanjittrongDepartment of Anesthesiology, Chulabhorn Hospital, Bangkok, Thailand.
Thitikorn JuntararuangtongSchool of Internal Medicine.
Theetad ChombanditSchool of Internal Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and importance: Multiple-choice questions (MCQs) offer a suitable means to assess the cognitive domain of learners with a high degree of objectivity. The study's objective is to formulate an equation for determining the ideal timing for MCQ examinations, thereby inspiring the development of a model to estimate the duration of these examinations. Methods: The authors generated a specific computer program that integrated with the operating system of the examination. Technical-specific features included the ability to calculate the speed of students taking examinations with images or videos in the questions or options. This bespoke computer program was designed specifically for assessing individual students' MCQ test-taking pace and generating a proctor report in a computer-readable format. Subsequently, data derived from this program underwent regression analysis to determine the speed at which students completed MCQ examinations. Outcomes: The data were collected from a total of 1035 examinees, all of whom were non-native English speakers. The average reading rate was 62.38±20.4 words/min. It was found that the rate decreased significantly in difficult (50.65±6.9 words/min) items compared to easy (82.29±21.3 words/min) and intermediate (60.56±19.1 words/min) items ( Conclusion: It is not advisable to base the decision solely on reading time or time allocation. Examination administrators are advised to proactively plan ahead, with particular emphasis on establishing a well-defined taxonomy, as it constitutes a fundamental cornerstone in the utilization of the estimation equation.

Indexed as

MCQmedical assessmenttesting time estimation

Identifiers

PMID38694350
PMCPMC11060202

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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.