Abstract
The study is aimed to find the most suitable model that could predict the students' success at the medical pre-university studies, Centre for Foundation in Science, Languages and General Studies of Cyberjaya University College of Medical Sciences (CUCMS). The predictors under investigation were the national high school exit examination-Sijil Pelajaran Malaysia (SPM) achievements such as Biology, Chemistry, Physics, Additional Mathematics, Mathematics, English and Bahasa Malaysia results as well as gender and high school background factors. The outcomes showed that there is a significant difference in the final CGPA, Biology and Mathematics subjects at pre-university by gender factor, while by high school background also for Mathematics subject. In general, the correlation between the academic achievements at the high school and medical pre-university is moderately significant at α-level of 0.05, except for languages subjects. It was found also that logistic regression techniques gave better prediction models than the multiple linear regression technique for this data set. The developed logistic models were able to give the probability that is almost accurate with the real case. Hence, it could be used to identify successful students who are qualified to enter the CUCMS medical faculty before accepting any students to its foundation program.
| Original language | English |
|---|---|
| Title of host publication | Statistics and Operational Research International Conference, SORIC 2013 |
| Publisher | American Institute of Physics Inc. |
| Pages | 306-316 |
| Number of pages | 11 |
| Volume | 1613 |
| ISBN (Electronic) | 9780735412491 |
| DOIs | |
| Publication status | Published - 1 Jan 2014 |
| Event | Statistics and Operational Research International Conference, SORIC 2013 - Sarawak, Malaysia Duration: 3 Dec 2013 → 5 Dec 2013 |
Other
| Other | Statistics and Operational Research International Conference, SORIC 2013 |
|---|---|
| Country | Malaysia |
| City | Sarawak |
| Period | 3/12/13 → 5/12/13 |
Fingerprint
Keywords
- linear regression
- logistic regression
- medical foundation
- pre-university
- prediction
ASJC Scopus subject areas
- Physics and Astronomy(all)
Cite this
Predicting students' success at pre-university studies using linear and logistic regressions. / Suliman, Noor Azizah; Abidin, Basir; Manan, Norhafizah Abdul; Razali, Ahmad Mahir.
Statistics and Operational Research International Conference, SORIC 2013. Vol. 1613 American Institute of Physics Inc., 2014. p. 306-316.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Predicting students' success at pre-university studies using linear and logistic regressions
AU - Suliman, Noor Azizah
AU - Abidin, Basir
AU - Manan, Norhafizah Abdul
AU - Razali, Ahmad Mahir
PY - 2014/1/1
Y1 - 2014/1/1
N2 - The study is aimed to find the most suitable model that could predict the students' success at the medical pre-university studies, Centre for Foundation in Science, Languages and General Studies of Cyberjaya University College of Medical Sciences (CUCMS). The predictors under investigation were the national high school exit examination-Sijil Pelajaran Malaysia (SPM) achievements such as Biology, Chemistry, Physics, Additional Mathematics, Mathematics, English and Bahasa Malaysia results as well as gender and high school background factors. The outcomes showed that there is a significant difference in the final CGPA, Biology and Mathematics subjects at pre-university by gender factor, while by high school background also for Mathematics subject. In general, the correlation between the academic achievements at the high school and medical pre-university is moderately significant at α-level of 0.05, except for languages subjects. It was found also that logistic regression techniques gave better prediction models than the multiple linear regression technique for this data set. The developed logistic models were able to give the probability that is almost accurate with the real case. Hence, it could be used to identify successful students who are qualified to enter the CUCMS medical faculty before accepting any students to its foundation program.
AB - The study is aimed to find the most suitable model that could predict the students' success at the medical pre-university studies, Centre for Foundation in Science, Languages and General Studies of Cyberjaya University College of Medical Sciences (CUCMS). The predictors under investigation were the national high school exit examination-Sijil Pelajaran Malaysia (SPM) achievements such as Biology, Chemistry, Physics, Additional Mathematics, Mathematics, English and Bahasa Malaysia results as well as gender and high school background factors. The outcomes showed that there is a significant difference in the final CGPA, Biology and Mathematics subjects at pre-university by gender factor, while by high school background also for Mathematics subject. In general, the correlation between the academic achievements at the high school and medical pre-university is moderately significant at α-level of 0.05, except for languages subjects. It was found also that logistic regression techniques gave better prediction models than the multiple linear regression technique for this data set. The developed logistic models were able to give the probability that is almost accurate with the real case. Hence, it could be used to identify successful students who are qualified to enter the CUCMS medical faculty before accepting any students to its foundation program.
KW - linear regression
KW - logistic regression
KW - medical foundation
KW - pre-university
KW - prediction
UR - http://www.scopus.com/inward/record.url?scp=85035797321&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85035797321&partnerID=8YFLogxK
U2 - 10.1063/1.4894355
DO - 10.1063/1.4894355
M3 - Conference contribution
AN - SCOPUS:85035797321
VL - 1613
SP - 306
EP - 316
BT - Statistics and Operational Research International Conference, SORIC 2013
PB - American Institute of Physics Inc.
ER -