The Impact of Multiple Choice Question Design on Predictions of Performance

Wong, Casey Philip; Denny, Paul; Luxton-Reilly, Andrew; Whalley, Jacqueline

doi:10.1145/3441636.3442306

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…Research comparing MCQs with multiple-answer MCQs (e.g. "Select all statements that are correct") in a programming course suggested no differences in preference for question type, that multiple-answer MCQs potentially reduced guessing of correct answers, and that this question format could be useful for providing formative feedback [51,52]. Future questionnaires could consider a mix of MCQ and multiple-answer MCQs from which analysis could be conducted to provide insight into knowledge gaps and misunderstandings of the area assessed.…”

Section: Reducing Reliance On Dichotomous Item Formatsmentioning

confidence: 99%

Recent Developments in the Assessment of Nutrition Knowledge in Athletes

2022

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Purpose of Review Adequate nutrition knowledge may influence dietary behaviour, and the performance and health of athletes. Assessment of the nutrition knowledge of athletes can inform practice and provide a quantitative way to evaluate education interventions. This article aims to review nutrition knowledge questionnaires published in the last 5 years to identify advances, possible improvements in questionnaire development and design, and challenges that remain. Recent Findings Twelve new or modified questionnaires were identified. All had undergone validity and reliability testing. Advancements included quantitative measures of content validity and Rasch analysis. Online questionnaires were common, with at least seven using this format. Advances included use of images (n = 2), automated scored feedback (n = 1), and use of applied questions. Summary While advancements have been made in validation and reliability testing and electronic delivery, new questionnaires would benefit from interactive and attractive features including images, provision of electronic feedback, and applied questions.

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Section: Reducing Reliance On Dichotomous Item Formatsmentioning

confidence: 99%