Evaluating Financial Literacy in Malaysia's Low-Income Populations: Results from Reliability and Exploratory Factor Analysis

Economic inclusion and household resilience are significantly influenced by financial literacy, especially for Malaysia's low-income groups (B40). Strong assessments of financial literacy among vulnerable populations are few, despite legislative initiatives to expand access to financial services. This study uses reliability analysis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) within a structural equation modelling (SEM) framework to create and evaluate a multidimensional tool for evaluating financial literacy among low-income families in Malaysia. To ensure representativeness, survey results were gathered from a stratified sample of 1,050 respondents spread over five states. High internal consistency (Cronbach's alpha > 0.78), a distinct three-factor structure (knowledge, attitudes, and behaviors), and a satisfactory CFA model fit (CFI = 0.92; RMSEA = 0.055) are all demonstrated by the results. For the B40 cohort, policy implications place a strong emphasis on focused behavioral interventions and modular financial education programmers. By providing a validated assessment instrument, this study makes a methodological contribution. It also makes a practical contribution by identifying actionable levers for program and policy design.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-25
DOI
https://doi.org/10.5281/zenodo.18051918
Primary Topic
Financial Literacy, Pension, Retirement Analysis
Type
article
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article

Evaluating Financial Literacy in Malaysia's Low-Income Populations: Results from Reliability and Exploratory Factor Analysis

Md Safi Ullah
Zenodo (CERN European Organization for Nuclear Research)
Financial Literacy, Pension, Retirement Analysis
article

Evaluating Financial Literacy in Malaysia's Low-Income Populations: Results from Reliability and Exploratory Factor Analysis

Md Safi Ullah
article en

Abstract

Economic inclusion and household resilience are significantly influenced by financial literacy, especially for Malaysia's low-income groups (B40). Strong assessments of financial literacy among vulnerable populations are few, despite legislative initiatives to expand access to financial services. This study uses reliability analysis, exploratory factor analysis (EFA), and confirmatory factor analysis (CFA) within a structural equation modelling (SEM) framework to create and evaluate a multidimensional tool for evaluating financial literacy among low-income families in Malaysia. To ensure representativeness, survey results were gathered from a stratified sample of 1,050 respondents spread over five states. High internal consistency (Cronbach's alpha > 0.78), a distinct three-factor structure (knowledge, attitudes, and behaviors), and a satisfactory CFA model fit (CFI = 0.92; RMSEA = 0.055) are all demonstrated by the results. For the B40 cohort, policy implications place a strong emphasis on focused behavioral interventions and modular financial education programmers. By providing a validated assessment instrument, this study makes a methodological contribution. It also makes a practical contribution by identifying actionable levers for program and policy design.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 24%
Financial Literacy, Pension, Retirement Analysis
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Evaluating Financial Literacy in Malaysia's Low-Income Populations: Results from Reliability and Exploratory Factor Analysis — Md Safi Ullah · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS