MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]

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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Published in:Journal of Quality Measurement and Analysis
Main Author: Rahman A.F.B.A.; Fekri W.N.F.W.A.; Fauzi N.Z.M.; Zukri S.M.; Hamzah N.H.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202571616&partnerID=40&md5=cde61cb24ec83bdca8aeabfc37ecd66a
id 2-s2.0-85202571616
spelling 2-s2.0-85202571616
Rahman A.F.B.A.; Fekri W.N.F.W.A.; Fauzi N.Z.M.; Zukri S.M.; Hamzah N.H.
MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
2022
Journal of Quality Measurement and Analysis
18
1

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202571616&partnerID=40&md5=cde61cb24ec83bdca8aeabfc37ecd66a
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. © 2022, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
Penerbit Universiti Kebangsaan Malaysia
18235670
English
Article

author Rahman A.F.B.A.; Fekri W.N.F.W.A.; Fauzi N.Z.M.; Zukri S.M.; Hamzah N.H.
spellingShingle Rahman A.F.B.A.; Fekri W.N.F.W.A.; Fauzi N.Z.M.; Zukri S.M.; Hamzah N.H.
MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
author_facet Rahman A.F.B.A.; Fekri W.N.F.W.A.; Fauzi N.Z.M.; Zukri S.M.; Hamzah N.H.
author_sort Rahman A.F.B.A.; Fekri W.N.F.W.A.; Fauzi N.Z.M.; Zukri S.M.; Hamzah N.H.
title MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
title_short MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
title_full MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
title_fullStr MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
title_full_unstemmed MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
title_sort MODELLING THE RETIREMENT PLANNING AMONG STAFF IN A PUBLIC UNIVERSITY BY USING MULTIPLE LINEAR REGRESSION; [Pemodelan Perancangan Persaraan Dikalangan Kakitangan di Sebuah Universiti Awam dengan Menggunakan Model Regresi Linear Berganda]
publishDate 2022
container_title Journal of Quality Measurement and Analysis
container_volume 18
container_issue 1
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202571616&partnerID=40&md5=cde61cb24ec83bdca8aeabfc37ecd66a
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. © 2022, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
publisher Penerbit Universiti Kebangsaan Malaysia
issn 18235670
language English
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