Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12323/7467
Title: | Predicting Graduate University Admission in Azerbaijan Using Multiple Regression |
Authors: | Alasgarova, Gunel |
Keywords: | Graduate degree master’s in Azerbaijan SEC exam multiple regression |
Issue Date: | 2024 |
Publisher: | Khazar University Press |
Citation: | Khazar Journal of Humanities and Social Sciences |
Series/Report no.: | Vol. 27;№ 1 |
Abstract: | Each year, Azerbaijani universities strive to attract the best candidates for graduate degrees within the academic hierarchy. Since 2005, one-third of undergraduates have been applying for master’s programs. The admission decisions primarily depend on the State Examination Center exam scores. This quantitative research mainly discusses the predictors of graduate university admission based on numerous factors using multiple linear regression. This study statistically measured four independent variables to predict university graduate admission scores in 2021 (GAS21). Significant differences were found between the average graduate admission scores of 2021 and those of 2020 (GAS20) and the percentage of students who scored >86%. There was no evidence of a connection between graduate and undergraduate admission scores and undergraduate enrollment. There is a need for more theoretical and descriptive studies to verify whether universities/institutions lose their prestige after the undergraduate degree. |
URI: | http://hdl.handle.net/20.500.12323/7467 |
ISSN: | 2223-2613 2223-2621 |
Appears in Collections: | 2024, Vol. 27, № 1 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Predicting Graduate University Admission in Azerbaijan Using Multiple Regression.pdf | 470.82 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.