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A generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school

BACKGROUND: Although the reliability of admission interviews has been improved through the use of objective and structured approaches, there still remains the issue of identifying and measuring relevant attributes or noncognitive domains of interest. In this present study, we use generalizability th...

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Autores principales: Donnon, Tyrone, Paolucci, Elizabeth Oddone
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2625344/
https://www.ncbi.nlm.nih.gov/pubmed/19077202
http://dx.doi.org/10.1186/1472-6920-8-58
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author Donnon, Tyrone
Paolucci, Elizabeth Oddone
author_facet Donnon, Tyrone
Paolucci, Elizabeth Oddone
author_sort Donnon, Tyrone
collection PubMed
description BACKGROUND: Although the reliability of admission interviews has been improved through the use of objective and structured approaches, there still remains the issue of identifying and measuring relevant attributes or noncognitive domains of interest. In this present study, we use generalizability theory to determine the estimated variance associated with participants, judges and stations from a semi-structured, Medical Judgment Vignettes interview used as part of an initiative to improve the reliability and content validity of the interview process used in the selection of students for medical school. METHODS: A three station, Medical Judgment Vignettes interview was conducted with 29 participants and scored independently by two judges on a well-defined 5-point rubric. Generalizability Theory provides a method for estimating the variability of a number of facets. In the present study each judge (j) rated each participant (p) on all three Medical Judgment Vignette stations (s). A two-facet crossed designed generalizability study was used to determine the optimal number of stations and judges to achieve a 0.80 reliability coefficient. RESULTS: The results of the generalizability analysis showed that a three station, two judge Medical Judgment Vignettes interview results in a G coefficient of 0.70. As shown by the adjusted Eρ(2 )scores, since interviewer variability is negligible, increasing the number of judges from two to three does not improve the generalizability coefficient. Increasing the number of stations, however, does have a substantial influence on the overall dependability of this measurement. In a decision study analysis, increasing the number of stations to six with a single judge at each station results in a G coefficient of 0.81. CONCLUSION: The Medical Judgment Vignettes interview provides a reliable approach to the assessment of candidates' noncognitive attributes for medical school. The high inter-rater reliability is attributed to the greater objectivity achieved through the used of the semi-structured interview format and clearly defined scoring rubric created for each of the judgment vignettes. Despite the relatively high generalizability coefficient obtained for only three stations, future research should further explore the reliability, and equally importantly, the validity of the vignettes with a large group of candidates applying for medical school.
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spelling pubmed-26253442009-01-14 A generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school Donnon, Tyrone Paolucci, Elizabeth Oddone BMC Med Educ Research Article BACKGROUND: Although the reliability of admission interviews has been improved through the use of objective and structured approaches, there still remains the issue of identifying and measuring relevant attributes or noncognitive domains of interest. In this present study, we use generalizability theory to determine the estimated variance associated with participants, judges and stations from a semi-structured, Medical Judgment Vignettes interview used as part of an initiative to improve the reliability and content validity of the interview process used in the selection of students for medical school. METHODS: A three station, Medical Judgment Vignettes interview was conducted with 29 participants and scored independently by two judges on a well-defined 5-point rubric. Generalizability Theory provides a method for estimating the variability of a number of facets. In the present study each judge (j) rated each participant (p) on all three Medical Judgment Vignette stations (s). A two-facet crossed designed generalizability study was used to determine the optimal number of stations and judges to achieve a 0.80 reliability coefficient. RESULTS: The results of the generalizability analysis showed that a three station, two judge Medical Judgment Vignettes interview results in a G coefficient of 0.70. As shown by the adjusted Eρ(2 )scores, since interviewer variability is negligible, increasing the number of judges from two to three does not improve the generalizability coefficient. Increasing the number of stations, however, does have a substantial influence on the overall dependability of this measurement. In a decision study analysis, increasing the number of stations to six with a single judge at each station results in a G coefficient of 0.81. CONCLUSION: The Medical Judgment Vignettes interview provides a reliable approach to the assessment of candidates' noncognitive attributes for medical school. The high inter-rater reliability is attributed to the greater objectivity achieved through the used of the semi-structured interview format and clearly defined scoring rubric created for each of the judgment vignettes. Despite the relatively high generalizability coefficient obtained for only three stations, future research should further explore the reliability, and equally importantly, the validity of the vignettes with a large group of candidates applying for medical school. BioMed Central 2008-12-10 /pmc/articles/PMC2625344/ /pubmed/19077202 http://dx.doi.org/10.1186/1472-6920-8-58 Text en Copyright © 2008 Donnon and Paolucci; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Donnon, Tyrone
Paolucci, Elizabeth Oddone
A generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school
title A generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school
title_full A generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school
title_fullStr A generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school
title_full_unstemmed A generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school
title_short A generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school
title_sort generalizability study of the medical judgment vignettes interview to assess students' noncognitive attributes for medical school
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2625344/
https://www.ncbi.nlm.nih.gov/pubmed/19077202
http://dx.doi.org/10.1186/1472-6920-8-58
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