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...

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Published in:Jurnal Ekonomi Malaysia
Main Author: Basir N.M.; Wahab D.A.; Zubair Y.Z.; Jani R.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2023
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
id 2-s2.0-85176776138
spelling 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
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