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Financial Literacy among Working Women: A Study on University Staff in Kedah

Ashaari, Nur Najihah and Md Yusof, Zahayu and Misiran, Masnita and Sapiri, Hasimah (2020) Financial Literacy among Working Women: A Study on University Staff in Kedah. Journal of Science and Mathematics Letters, 8 (2). pp. 100-108. ISSN 2462-2052

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Abstract

The involvement of women in the employment sector has helped boost the Malaysian economy. Therefore, it is imperative for our economy to consider the fact that where and how women work to spend or invest their funds. In this case, for the proper use of funds, working women need to be financially literate. This study to determine the relationship between the factors towards financial literacy among working women and to investigate the risk of financial literacy among working women. Sample data were gathered using self-administered questionnaire among working women in government university in Kedah and later analyzed using statistical software namely, Statistical Package for Social Science (SPSS) version 25.0 and Analysis of Moment Structure (AMOS) version 25.0. Confirmatory Factor Analysis (CFA) together with Structural Equation Modeling (SEM) approach was used both to access the model fit and identify the significant direct influence financial literacy among working women. As a result, five factors that influence financial management have been highlighted which are financial attitude, financial knowledge, financial education, financial behavior and financial literacy. The result indicates that only financial attitudes significant towards financial literacy among working women as supported by the previous study. However, other factors are also important in assessing the level of financial literacy of an individual because each of these factors plays a role in ensuring an individual's financial management and avoid yourself from financial risk

Item Type: Article
Uncontrolled Keywords: Financial literacy; Financial management; Financial risk; Structural Equation Modelling (SEM); Working women
Subjects: H Social Sciences > HA Statistics
Divisions: School of Quantitative Sciences
Depositing User: Mdm. Sarkina Mat Saad @ Shaari
Date Deposited: 30 Apr 2024 13:10
Last Modified: 30 Apr 2024 13:10
URI: https://repo.uum.edu.my/id/eprint/30769

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