Full-text resources of CEJSH and other databases are now available in the new Library of Science.
Visit https://bibliotekanauki.pl

Results found: 1

first rewind previous Page / 1 next fast forward last

Search results

help Sort By:

help Limit search:
first rewind previous Page / 1 next fast forward last
1
Publication available in full text mode
Content available

Best Model Selection for Determinants of Students’ Academic Performance at Tertiary Level in Azad Jammu and Kashmir, Pakistan

100%
Hussain K., Farooq S., Akhtar N., Abbassi F. A.
The New Educational Review
|
2018
|
vol. 51
66-77
EN
The presented study is intended to suggest the best model to predict students’ academic performance at university level. For this purpose, primary data was collected from 400 undergraduate and graduate students of eight departments of Mirpur University of Science and Technology (MUST), which were selected through stratified random sampling. CGPA is used as an indicator of students’ academic performance. Stepwise linear regression is used to select the best model to predict students’ academic performance at tertiary level. The final model selected through stepwise regression includes six variables: the student’s IQ, ownership of AC, gender, geographic location, self-study hours and ownership of fridge as significant predictors of students’ academic performance at tertiary level. IQ, ownership of assets and self-study hours are found to have a positive effect on CGPA while being male and the distance of the household to nearest market are found to have a negative effect on CGPA.
first rewind previous Page / 1 next fast forward last
JavaScript is turned off in your web browser. Turn it on to take full advantage of this site, then refresh the page.