Complementary log-log with random effect model using Malaysian graduate employability data

Shahadan, Md Azman and Abdul Wahab Khan, Rahmattullah Khan and Mohd Ramli, Aimillia (2019) Complementary log-log with random effect model using Malaysian graduate employability data. International Journal of Recent Technology and Engineering, 7 (6). pp. 219-225. ISSN 2277-3878

	PDF - Published Version Restricted to Registered users only Download (510kB) | Request a copy
Preview	PDF (Scopus) - Supplemental Material Download (259kB) | Preview

Abstract

The objective of this research is to investigate the relationship between hazard ratio or survival function of graduate employability and 8 explanatory variables. The 8 explanatory variables are as follows: gender, CGPA, geographic region, English language proficiency, area of study, curriculum satisfaction, carrier guidance services satisfaction and monthly family income. In order to study a survival function of graduate employability, we have developed a sequence of binary numbers (employed (1) or unemployed (0)) at a particular time of being employed among first degree graduate students (N=2228). The data is based on a survival study data, which traces the survival function of graduate students within 12 months of window opportunity. We have used the complementary log-log model in various forms. For the simple complementary log-log model, the results showed that the hazard risk with baseline hazard ratio relate to graduates' gender, CGPA, satisfaction with career guidance, the geographic region from which they came from, their English performance, their area of study and their family income. As for subject-specific (random effects), the hazard ratio also relates to the abovementioned variables

Item Type:	Article (Journal)
Additional Information:	2219/76508
Uncontrolled Keywords:	Modeling discrete time to event, Employability data, Survival function, subject-specific proportional hazards model, Random Effect Complementary Log-Log Regression Model
Subjects:	L Education > L Education (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Islamic Revealed Knowledge and Human Sciences
Depositing User:	Dr. Aimillia Mohd Ramli
Date Deposited:	25 Nov 2019 13:48
Last Modified:	31 Jan 2020 15:15
URI:	http://irep.iium.edu.my/id/eprint/76508

Actions (login required)

View Item