The antecedents for homelessness in Bukit Bintang, Kuala Lumpur, Malaysia / Mohd Ramlan Mohd Arshad...[et al.]

Mohd Arshad, Mohd Ramlan and Madzlan, Nurul Fatin and Mawi, Nurhafizah and Rabun, Mohd Nazir (2019) The antecedents for homelessness in Bukit Bintang, Kuala Lumpur, Malaysia / Mohd Ramlan Mohd Arshad...[et al.]. Voice of Academia (VOA), 15 (3). pp. 1-10. ISSN 2682-7840

Official URL: https://voa.uitm.edu.my/

Abstract

The aim of this study is to explore the antecedents for homelessness in Bukit Bintang with the main objectives of exploring the relationship between the variables namely poverty, unemployment, domestic violence and addiction towards homelessness in Bukit Bintang, Kuala Lumpur. 150 respondents of this study are community that become homeless that get shelter in the roadside of Bukit Bintang, Kuala Lumpur, Malaysia. Purposive sampling technique was used with questionnaire as the instrument. Correlation and regression analysis were conducted, and the findings show that there are significant relationships between the variables and homelessness with domestic violence as the main factor. Hence, various parties such as authority, non-governmental bodies and community has benefited from the study.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mohd Arshad, Mohd Ramlan
ramlanarshad@gmail.com
Madzlan, Nurul Fatin
UNSPECIFIED
Mawi, Nurhafizah
UNSPECIFIED
Rabun, Mohd Nazir
UNSPECIFIED
Subjects: H Social Sciences > HV Social pathology. Social and public welfare. Criminology
Divisions: Universiti Teknologi MARA, Kedah > Sg Petani Campus
Journal or Publication Title: Voice of Academia (VOA)
UiTM Journal Collections: UiTM Journal > Voice of Academia (VOA)
ISSN: 2682-7840
Volume: 15
Number: 3
Page Range: pp. 1-10
Keywords: Homelessness; Poverty; Unemployment; Domestic Violence; Addiction
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/33172
Edit Item
Edit Item

Download

[thumbnail of AJ_MOHD RAMLAN MOHD ARSHAD VOA K 19.pdf] Text
AJ_MOHD RAMLAN MOHD ARSHAD VOA K 19.pdf

Download (4MB)

ID Number

33172

Indexing

Statistic

Statistic details