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Predicting academic achievement and student absences in high school: The roles of student and school attributes
The present study aims at examining predictors of high school students’ academic achievement from student-level and school-level predictors in the Kingdom of Saudi Arabia, especially in light of policy mandates on educational reform in accordance with Vision 2030. Participants were 528,854 individua...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174046/ https://www.ncbi.nlm.nih.gov/pubmed/37179877 http://dx.doi.org/10.3389/fpsyg.2023.987127 |
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author | Sideridis, Georgios Alamri, Abeer A. |
author_facet | Sideridis, Georgios Alamri, Abeer A. |
author_sort | Sideridis, Georgios |
collection | PubMed |
description | The present study aims at examining predictors of high school students’ academic achievement from student-level and school-level predictors in the Kingdom of Saudi Arabia, especially in light of policy mandates on educational reform in accordance with Vision 2030. Participants were 528,854 individuals who took on the Standard Achievement Admission Test (SAAT), along with other demographic variables. The mean age of participants was 19.7 years with an SD = 1.87. There were 234,813 males and 294,041 females. A Multilevel Random Coefficient Modeling (MRCM) model was engaged to identify predictors of academic achievement. Results indicated the positive roles of being a female, having educational parents, being educated in religious schools or large schools, and having small student-to-teacher ratios and the negative roles of student absences, student age, and being educated in new schools. Results are viewed under the lenses of new policy mandates on educational reform in the Kingdom of Saudi Arabia. |
format | Online Article Text |
id | pubmed-10174046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101740462023-05-12 Predicting academic achievement and student absences in high school: The roles of student and school attributes Sideridis, Georgios Alamri, Abeer A. Front Psychol Psychology The present study aims at examining predictors of high school students’ academic achievement from student-level and school-level predictors in the Kingdom of Saudi Arabia, especially in light of policy mandates on educational reform in accordance with Vision 2030. Participants were 528,854 individuals who took on the Standard Achievement Admission Test (SAAT), along with other demographic variables. The mean age of participants was 19.7 years with an SD = 1.87. There were 234,813 males and 294,041 females. A Multilevel Random Coefficient Modeling (MRCM) model was engaged to identify predictors of academic achievement. Results indicated the positive roles of being a female, having educational parents, being educated in religious schools or large schools, and having small student-to-teacher ratios and the negative roles of student absences, student age, and being educated in new schools. Results are viewed under the lenses of new policy mandates on educational reform in the Kingdom of Saudi Arabia. Frontiers Media S.A. 2023-03-28 /pmc/articles/PMC10174046/ /pubmed/37179877 http://dx.doi.org/10.3389/fpsyg.2023.987127 Text en Copyright © 2023 Sideridis and Alamri. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Sideridis, Georgios Alamri, Abeer A. Predicting academic achievement and student absences in high school: The roles of student and school attributes |
title | Predicting academic achievement and student absences in high school: The roles of student and school attributes |
title_full | Predicting academic achievement and student absences in high school: The roles of student and school attributes |
title_fullStr | Predicting academic achievement and student absences in high school: The roles of student and school attributes |
title_full_unstemmed | Predicting academic achievement and student absences in high school: The roles of student and school attributes |
title_short | Predicting academic achievement and student absences in high school: The roles of student and school attributes |
title_sort | predicting academic achievement and student absences in high school: the roles of student and school attributes |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10174046/ https://www.ncbi.nlm.nih.gov/pubmed/37179877 http://dx.doi.org/10.3389/fpsyg.2023.987127 |
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