Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID]
This study aims to identify the factors contributing to graduates' starting salaries. We used the data of 1,485 employed graduates from a Malaysian public university retrieved from a comprehensive 2018 Graduate Tracer Study by the Ministry of Higher Education Malaysia. We employed the CHAID pre...
Published in: | Jurnal Ekonomi Malaysia |
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Penerbit Universiti Kebangsaan Malaysia
2023
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176776138&doi=10.17576%2fJEM-2023-5702-10&partnerID=40&md5=85e298ac4d360acee4e942524fd9b894 |
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2-s2.0-85176776138 Basir N.M.; Wahab D.A.; Zubair Y.Z.; Jani R. Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID] 2023 Jurnal Ekonomi Malaysia 57 2 10.17576/JEM-2023-5702-10 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176776138&doi=10.17576%2fJEM-2023-5702-10&partnerID=40&md5=85e298ac4d360acee4e942524fd9b894 This study aims to identify the factors contributing to graduates' starting salaries. We used the data of 1,485 employed graduates from a Malaysian public university retrieved from a comprehensive 2018 Graduate Tracer Study by the Ministry of Higher Education Malaysia. We employed the CHAID predictive model to establish a relationship between starting salary and categorical predictor variables. We further used Chi-square statistics to determine the optimal splits. The study found that graduates' starting salaries are influenced by job sector, English proficiency, job group, academic performance, and field of study. The findings further revealed that only 40 per cent of the graduates received a monthly starting salary of at least RM2,500. This simple model successfully captures the essential patterns and relationships in the data without being overly influenced by irrelevant details. These findings provide valuable knowledge and insights for future graduates to secure a promising career. © 2023 Penerbit Universiti Kebangsaan Malaysia. All rights reserved. Penerbit Universiti Kebangsaan Malaysia 1271962 English Article |
author |
Basir N.M.; Wahab D.A.; Zubair Y.Z.; Jani R. |
spellingShingle |
Basir N.M.; Wahab D.A.; Zubair Y.Z.; Jani R. Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID] |
author_facet |
Basir N.M.; Wahab D.A.; Zubair Y.Z.; Jani R. |
author_sort |
Basir N.M.; Wahab D.A.; Zubair Y.Z.; Jani R. |
title |
Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID] |
title_short |
Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID] |
title_full |
Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID] |
title_fullStr |
Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID] |
title_full_unstemmed |
Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID] |
title_sort |
Determinants of Graduates’ Starting Salary Using CHAID Analysis; [Penentu Gaji Permulaan Graduan Menggunakan Analisis CHAID] |
publishDate |
2023 |
container_title |
Jurnal Ekonomi Malaysia |
container_volume |
57 |
container_issue |
2 |
doi_str_mv |
10.17576/JEM-2023-5702-10 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176776138&doi=10.17576%2fJEM-2023-5702-10&partnerID=40&md5=85e298ac4d360acee4e942524fd9b894 |
description |
This study aims to identify the factors contributing to graduates' starting salaries. We used the data of 1,485 employed graduates from a Malaysian public university retrieved from a comprehensive 2018 Graduate Tracer Study by the Ministry of Higher Education Malaysia. We employed the CHAID predictive model to establish a relationship between starting salary and categorical predictor variables. We further used Chi-square statistics to determine the optimal splits. The study found that graduates' starting salaries are influenced by job sector, English proficiency, job group, academic performance, and field of study. The findings further revealed that only 40 per cent of the graduates received a monthly starting salary of at least RM2,500. This simple model successfully captures the essential patterns and relationships in the data without being overly influenced by irrelevant details. These findings provide valuable knowledge and insights for future graduates to secure a promising career. © 2023 Penerbit Universiti Kebangsaan Malaysia. All rights reserved. |
publisher |
Penerbit Universiti Kebangsaan Malaysia |
issn |
1271962 |
language |
English |
format |
Article |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1809678021295079424 |