Modelling the retirement planning among staff in a public university by using multiple linear regression

Retirement is a stage in life when a person decides to leave the workforce permanently. In Malaysia, the typical retirement age is 65. Individuals can predict how quickly and likely they will be able to reach their retirement goals with good retirement planning. Hence, the purpose of this study is t...

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Main Authors: Amirah Fatini Berahim @ Ab Rahman, Wan Nurul Fathihah Wan Ahmad Fekri, Noor Zafarina Mohd Fauzi, Shamsunarnie Mohamed Zukri, Nor Hazreeni Hamzah
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:http://journalarticle.ukm.my/19449/
http://journalarticle.ukm.my/19449/1/Paper-4-Zafarina.pdf
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author Amirah Fatini Berahim @ Ab Rahman,
Wan Nurul Fathihah Wan Ahmad Fekri,
Noor Zafarina Mohd Fauzi,
Shamsunarnie Mohamed Zukri,
Nor Hazreeni Hamzah,
author_facet Amirah Fatini Berahim @ Ab Rahman,
Wan Nurul Fathihah Wan Ahmad Fekri,
Noor Zafarina Mohd Fauzi,
Shamsunarnie Mohamed Zukri,
Nor Hazreeni Hamzah,
author_sort Amirah Fatini Berahim @ Ab Rahman,
building UKM Institutional Repository
collection Online Access
description Retirement is a stage in life when a person decides to leave the workforce permanently. In Malaysia, the typical retirement age is 65. Individuals can predict how quickly and likely they will be able to reach their retirement goals with good retirement planning. Hence, the purpose of this study is to identify the determinants of retirement planning which are health, job environment, and financial planning among staffs in a public university in Kelantan. In this study, 85 samples were selected using a stratified random sampling technique that involve academic and non-academic staff. The data were collected using questionnaire that was distributed via WhatsApp and e-mail. To achieve the objectives, the data was analyzed using Multiple Linear Regression. From this study, it can be concluded that there are two variables that significantly influence retirement planning which are health, and financial planning. In conclusion, individuals are advised to take good care of their health, and it is advisable for individuals to have investment property for future saving.
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spelling oai:generic.eprints.org:194492022-08-19T01:54:52Z http://journalarticle.ukm.my/19449/ Modelling the retirement planning among staff in a public university by using multiple linear regression Amirah Fatini Berahim @ Ab Rahman, Wan Nurul Fathihah Wan Ahmad Fekri, Noor Zafarina Mohd Fauzi, Shamsunarnie Mohamed Zukri, Nor Hazreeni Hamzah, Retirement is a stage in life when a person decides to leave the workforce permanently. In Malaysia, the typical retirement age is 65. Individuals can predict how quickly and likely they will be able to reach their retirement goals with good retirement planning. Hence, the purpose of this study is to identify the determinants of retirement planning which are health, job environment, and financial planning among staffs in a public university in Kelantan. In this study, 85 samples were selected using a stratified random sampling technique that involve academic and non-academic staff. The data were collected using questionnaire that was distributed via WhatsApp and e-mail. To achieve the objectives, the data was analyzed using Multiple Linear Regression. From this study, it can be concluded that there are two variables that significantly influence retirement planning which are health, and financial planning. In conclusion, individuals are advised to take good care of their health, and it is advisable for individuals to have investment property for future saving. Penerbit Universiti Kebangsaan Malaysia 2022 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/19449/1/Paper-4-Zafarina.pdf Amirah Fatini Berahim @ Ab Rahman, and Wan Nurul Fathihah Wan Ahmad Fekri, and Noor Zafarina Mohd Fauzi, and Shamsunarnie Mohamed Zukri, and Nor Hazreeni Hamzah, (2022) Modelling the retirement planning among staff in a public university by using multiple linear regression. Journal of Quality Measurement and Analysis, 18 (1). pp. 37-47. ISSN 1823-5670 https://www.ukm.my/jqma/jqma18-1/
spellingShingle Amirah Fatini Berahim @ Ab Rahman,
Wan Nurul Fathihah Wan Ahmad Fekri,
Noor Zafarina Mohd Fauzi,
Shamsunarnie Mohamed Zukri,
Nor Hazreeni Hamzah,
Modelling the retirement planning among staff in a public university by using multiple linear regression
title Modelling the retirement planning among staff in a public university by using multiple linear regression
title_full Modelling the retirement planning among staff in a public university by using multiple linear regression
title_fullStr Modelling the retirement planning among staff in a public university by using multiple linear regression
title_full_unstemmed Modelling the retirement planning among staff in a public university by using multiple linear regression
title_short Modelling the retirement planning among staff in a public university by using multiple linear regression
title_sort modelling the retirement planning among staff in a public university by using multiple linear regression
url http://journalarticle.ukm.my/19449/
http://journalarticle.ukm.my/19449/
http://journalarticle.ukm.my/19449/1/Paper-4-Zafarina.pdf