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Prediction of Admission Tests for Medical Students’ Academic Performance
INTRODUCTION: Medical educators are concerned about predicting standardized tests for students’ academic performance in medical colleges. This study, in Saudi Arabia, attempted to analyze the predictive validity of two local standardized tests (GAT and SAAT) for students’ performance in the first tw...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578356/ https://www.ncbi.nlm.nih.gov/pubmed/36267054 http://dx.doi.org/10.2147/AMEP.S355474 |
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author | Althewini, Abdulaziz Al Baz, Noof |
author_facet | Althewini, Abdulaziz Al Baz, Noof |
author_sort | Althewini, Abdulaziz |
collection | PubMed |
description | INTRODUCTION: Medical educators are concerned about predicting standardized tests for students’ academic performance in medical colleges. This study, in Saudi Arabia, attempted to analyze the predictive validity of two local standardized tests (GAT and SAAT) for students’ performance in the first two years and basic and advanced science courses. This study is unique since it focuses on comparing the prediction of both tests between the two years and examining the difference in students’ performance in basic and advanced science courses. METHODS: Data of 650 students included GAT and SAAT scores, GPA in the first and second year, and average basic and advanced science courses validated through students’ college ID. RESULTS: Results show that both GAT and SAAT significantly predict medical students’ GPA with sufficient strength (ie, R2 =27% and 28% for the first and second years). It also indicates that GAT and SAAT are significant predictors of students’ academic performance in their basic and advanced science courses with an acceptable strength (ie, R2= 27% for the basic science course, and R2= 22% for advanced science course). DISCUSSION: Based on these results, the study concludes about the necessity of having more accurate and relevant admission criteria for medical colleges. |
format | Online Article Text |
id | pubmed-9578356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-95783562022-10-19 Prediction of Admission Tests for Medical Students’ Academic Performance Althewini, Abdulaziz Al Baz, Noof Adv Med Educ Pract Original Research INTRODUCTION: Medical educators are concerned about predicting standardized tests for students’ academic performance in medical colleges. This study, in Saudi Arabia, attempted to analyze the predictive validity of two local standardized tests (GAT and SAAT) for students’ performance in the first two years and basic and advanced science courses. This study is unique since it focuses on comparing the prediction of both tests between the two years and examining the difference in students’ performance in basic and advanced science courses. METHODS: Data of 650 students included GAT and SAAT scores, GPA in the first and second year, and average basic and advanced science courses validated through students’ college ID. RESULTS: Results show that both GAT and SAAT significantly predict medical students’ GPA with sufficient strength (ie, R2 =27% and 28% for the first and second years). It also indicates that GAT and SAAT are significant predictors of students’ academic performance in their basic and advanced science courses with an acceptable strength (ie, R2= 27% for the basic science course, and R2= 22% for advanced science course). DISCUSSION: Based on these results, the study concludes about the necessity of having more accurate and relevant admission criteria for medical colleges. Dove 2022-10-14 /pmc/articles/PMC9578356/ /pubmed/36267054 http://dx.doi.org/10.2147/AMEP.S355474 Text en © 2022 Althewini and Al Baz. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Althewini, Abdulaziz Al Baz, Noof Prediction of Admission Tests for Medical Students’ Academic Performance |
title | Prediction of Admission Tests for Medical Students’ Academic Performance |
title_full | Prediction of Admission Tests for Medical Students’ Academic Performance |
title_fullStr | Prediction of Admission Tests for Medical Students’ Academic Performance |
title_full_unstemmed | Prediction of Admission Tests for Medical Students’ Academic Performance |
title_short | Prediction of Admission Tests for Medical Students’ Academic Performance |
title_sort | prediction of admission tests for medical students’ academic performance |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578356/ https://www.ncbi.nlm.nih.gov/pubmed/36267054 http://dx.doi.org/10.2147/AMEP.S355474 |
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