Pre-university Measures and University Performance
A Multilevel Structural Equation Modeling Approach
Bibliographic Data
| ID | 22168647 |
|---|---|
| Authors | Alvin Vista (0000-0002-2078-993X, The University of Melbourne), Ghadah S Alkhadim (0000-0003-4717-4238, Taif University, corresponding author) |
| Year | 2022 |
| Volume | 7 |
| Publication date | 2022-02-25 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Education (JOURNAL) |
| Journal identifiers | ISSN: 2504-284X • E-ISSN: 2504-284X |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/feduc.2022.723054 |
| OpenAlex | W4214552553 |
| Language | EN |
| References cited | 29 |
This study investigated the relationship between three pre-university measures (high school grade point average, the General Aptitude Test, and the scholastic achievement admission test) and university performance as indicted by (preparatory year and cumulative university grade point average, and graduation). Data from 330,684 undergraduate students from 23 universities across the Kingdom of Saudi Arabia were analyzed using a multilevel structural equation modeling approach. Results indicated that all pre-university measures were consistent in predicting university performance. These findings supported previous results that pre-university measures performance predict eventual performance at the university, including performance at the preparatory year, and whether the student stays regular and eventually completes university studies. These results have implications for the importance of the pre university measures in predicting university eventual success and graduation and this study adds to the body of work that can inform further cost-benefits of the pre university measures. For policymakers, these findings suggest that strengthening support during secondary school levels can have positive effects on eventual performance at university
Academic achievement · Aptitude · Developmental psychology · Mathematics education · Multilevel model · Statistics · Structural equation modeling · Engineering · Higher Education Research Studies · Labor market dynamics and wage inequality · Mathematics · Medical Education and Admissions · Psychology
MetaSEM
Understanding the limitations of global fit assessment in structural equation modeling
Who Succeeds at University? Factors predicting academic performance in first year Australian university students
Mind the Gap
Cutoff criteria for fit indexes in covariance structure analysis
A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity
A general multilevel SEM framework for assessing multilevel mediation.
Psychometric Features of the General Aptitude Test–Verbal Part (GAT-V)
Achievement versus aptitude in college admissions
Comparative fit indexes in structural models
| Citation velocity | historical |
|---|---|
| Highly cited | No |