Complementary log-log with random effect model using Malaysian graduate employability data
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Blue Eyes Intelligence Engineering and Sciences Publication
2019
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/76508/ http://irep.iium.edu.my/76508/ http://irep.iium.edu.my/76508/1/76508_Complementary%20Log-Log%20with%20Random_article.pdf http://irep.iium.edu.my/76508/2/76508_Complementary%20Log-Log%20with%20Random_scopus.pdf |
| Summary: | 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 |
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