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Determining intra-standard-setter inconsistency in the Angoff method using the three-parameter item response theory

OBJECTIVES: To measure intra-standard-setter variability and assess the variations between the pass marks obtained from Angoff ratings, guided by the latent trait theory as the theoretical model. METHODS: A non-experimental cross-sectional study was conducted to achieve the purpose of the study. Two...

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Autores principales: Tavakol, Mohsen, O'Brien, David, Stewart, Claire
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IJME 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693949/
https://www.ncbi.nlm.nih.gov/pubmed/37678838
http://dx.doi.org/10.5116/ijme.64ed.e296
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author Tavakol, Mohsen
O'Brien, David
Stewart, Claire
author_facet Tavakol, Mohsen
O'Brien, David
Stewart, Claire
author_sort Tavakol, Mohsen
collection PubMed
description OBJECTIVES: To measure intra-standard-setter variability and assess the variations between the pass marks obtained from Angoff ratings, guided by the latent trait theory as the theoretical model. METHODS: A non-experimental cross-sectional study was conducted to achieve the purpose of the study. Two knowledge-based tests were administered to 358 final-year medical students (223 females and 135 males) as part of their normal summative programme of assessments. The results of judgmental standard-setting using the Angoff method, which is widely used in medical schools, were used to determine intra-standard-setter inconsistency using the three-parameter item response theory (IRT). Permission for this study was granted by the local Research Ethics Committee of the University of Nottingham. To ensure anonymity and confidentiality, all identifiers at the student level were removed before the data were analysed. RESULTS: The results of this study confirm that the three-parameter IRT can be used to analyse the results of individual judgmental standard setters. Overall, standard-setters behaved fairly consistently in both tests. The mean Angoff ratings and conditional probability were strongly positively correlated, which is a matter of inter-standard-setter validity. CONCLUSIONS: We recommend that assessment providers adopt the methodology used in this study to help determine inter and intra-judgmental inconsistencies across standard setters to minimise the number of false positive and false negative decisions.
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spelling pubmed-106939492023-12-04 Determining intra-standard-setter inconsistency in the Angoff method using the three-parameter item response theory Tavakol, Mohsen O'Brien, David Stewart, Claire Int J Med Educ Editorial OBJECTIVES: To measure intra-standard-setter variability and assess the variations between the pass marks obtained from Angoff ratings, guided by the latent trait theory as the theoretical model. METHODS: A non-experimental cross-sectional study was conducted to achieve the purpose of the study. Two knowledge-based tests were administered to 358 final-year medical students (223 females and 135 males) as part of their normal summative programme of assessments. The results of judgmental standard-setting using the Angoff method, which is widely used in medical schools, were used to determine intra-standard-setter inconsistency using the three-parameter item response theory (IRT). Permission for this study was granted by the local Research Ethics Committee of the University of Nottingham. To ensure anonymity and confidentiality, all identifiers at the student level were removed before the data were analysed. RESULTS: The results of this study confirm that the three-parameter IRT can be used to analyse the results of individual judgmental standard setters. Overall, standard-setters behaved fairly consistently in both tests. The mean Angoff ratings and conditional probability were strongly positively correlated, which is a matter of inter-standard-setter validity. CONCLUSIONS: We recommend that assessment providers adopt the methodology used in this study to help determine inter and intra-judgmental inconsistencies across standard setters to minimise the number of false positive and false negative decisions. IJME 2023-09-07 /pmc/articles/PMC10693949/ /pubmed/37678838 http://dx.doi.org/10.5116/ijme.64ed.e296 Text en Copyright: © 2023 Mohsen Tavakol et al. https://creativecommons.org/licenses/by/3.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License which permits unrestricted use of work provided the original work is properly cited. http://creativecommons.org/licenses/by/3.0/ (https://creativecommons.org/licenses/by/3.0/)
spellingShingle Editorial
Tavakol, Mohsen
O'Brien, David
Stewart, Claire
Determining intra-standard-setter inconsistency in the Angoff method using the three-parameter item response theory
title Determining intra-standard-setter inconsistency in the Angoff method using the three-parameter item response theory
title_full Determining intra-standard-setter inconsistency in the Angoff method using the three-parameter item response theory
title_fullStr Determining intra-standard-setter inconsistency in the Angoff method using the three-parameter item response theory
title_full_unstemmed Determining intra-standard-setter inconsistency in the Angoff method using the three-parameter item response theory
title_short Determining intra-standard-setter inconsistency in the Angoff method using the three-parameter item response theory
title_sort determining intra-standard-setter inconsistency in the angoff method using the three-parameter item response theory
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10693949/
https://www.ncbi.nlm.nih.gov/pubmed/37678838
http://dx.doi.org/10.5116/ijme.64ed.e296
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