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Long-menu questions in computer-based assessments: a retrospective observational study

BACKGROUND: Computer based assessments of paediatrics in our institution use series of clinical cases, where information is progressively delivered to the students in a sequential order. Three types of formats are mainly used: Type A (single answer), Pick N, and Long-menu. Long-menu questions requir...

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Autores principales: Cerutti, Bernard, Blondon, Katherine, Galetto, Annick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748522/
https://www.ncbi.nlm.nih.gov/pubmed/26861755
http://dx.doi.org/10.1186/s12909-016-0578-4
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author Cerutti, Bernard
Blondon, Katherine
Galetto, Annick
author_facet Cerutti, Bernard
Blondon, Katherine
Galetto, Annick
author_sort Cerutti, Bernard
collection PubMed
description BACKGROUND: Computer based assessments of paediatrics in our institution use series of clinical cases, where information is progressively delivered to the students in a sequential order. Three types of formats are mainly used: Type A (single answer), Pick N, and Long-menu. Long-menu questions require a long, hidden list of possible answers: based on the student’s initial free text response, the program narrows the list, allowing the student to select the answer. This study analyses the psychometric properties of Long-menu questions compared with the two other commonly used formats: Type A and Pick N. METHODS: We reviewed the difficulty level and discrimination index of the items in the paediatric exams from 2009 to 2015, and compared the Long-menu questions with the Type A and Pick N questions, using multiple-way analyses of variances. RESULTS: Our dataset included 13 exam sessions with 855 students and 558 items included in the analysis, 212 (38 %) Long-menu, 201 (36 %) Pick N, and 140 Type A (25 %) items. There was a significant format effect associated with both level of difficulty (p = .005) and discrimination index (p < .001). Long-menu questions were easier than Type A questions(+5.2 %; 95 % CI 1.1–9.4 %), and more discriminative than both Type A (+0.07; 95 % CI 0.01–0.14), and Pick N (+0.10; 95 % CI 0.05–0.16) questions. CONCLUSIONS: Long-menu questions show good psychometric properties when compared with more common formats such as Type A or Pick N, though confirmatory studies are needed. They provide more variety, reduce the cueing effect, and thus may more closely reflect real life practice than the other item formats inherited from paper-based examination that are used during computer-based assessments.
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spelling pubmed-47485222016-02-11 Long-menu questions in computer-based assessments: a retrospective observational study Cerutti, Bernard Blondon, Katherine Galetto, Annick BMC Med Educ Research Article BACKGROUND: Computer based assessments of paediatrics in our institution use series of clinical cases, where information is progressively delivered to the students in a sequential order. Three types of formats are mainly used: Type A (single answer), Pick N, and Long-menu. Long-menu questions require a long, hidden list of possible answers: based on the student’s initial free text response, the program narrows the list, allowing the student to select the answer. This study analyses the psychometric properties of Long-menu questions compared with the two other commonly used formats: Type A and Pick N. METHODS: We reviewed the difficulty level and discrimination index of the items in the paediatric exams from 2009 to 2015, and compared the Long-menu questions with the Type A and Pick N questions, using multiple-way analyses of variances. RESULTS: Our dataset included 13 exam sessions with 855 students and 558 items included in the analysis, 212 (38 %) Long-menu, 201 (36 %) Pick N, and 140 Type A (25 %) items. There was a significant format effect associated with both level of difficulty (p = .005) and discrimination index (p < .001). Long-menu questions were easier than Type A questions(+5.2 %; 95 % CI 1.1–9.4 %), and more discriminative than both Type A (+0.07; 95 % CI 0.01–0.14), and Pick N (+0.10; 95 % CI 0.05–0.16) questions. CONCLUSIONS: Long-menu questions show good psychometric properties when compared with more common formats such as Type A or Pick N, though confirmatory studies are needed. They provide more variety, reduce the cueing effect, and thus may more closely reflect real life practice than the other item formats inherited from paper-based examination that are used during computer-based assessments. BioMed Central 2016-02-09 /pmc/articles/PMC4748522/ /pubmed/26861755 http://dx.doi.org/10.1186/s12909-016-0578-4 Text en © Cerutti et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Cerutti, Bernard
Blondon, Katherine
Galetto, Annick
Long-menu questions in computer-based assessments: a retrospective observational study
title Long-menu questions in computer-based assessments: a retrospective observational study
title_full Long-menu questions in computer-based assessments: a retrospective observational study
title_fullStr Long-menu questions in computer-based assessments: a retrospective observational study
title_full_unstemmed Long-menu questions in computer-based assessments: a retrospective observational study
title_short Long-menu questions in computer-based assessments: a retrospective observational study
title_sort long-menu questions in computer-based assessments: a retrospective observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4748522/
https://www.ncbi.nlm.nih.gov/pubmed/26861755
http://dx.doi.org/10.1186/s12909-016-0578-4
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