Perceptions on Determinants of Women's Empowerment in Bangladesh: A Cross-sectional Study

The aim of this study is to ascertain the primary elements influencing women's views of empowerment by use of statistical analysis. 560 respondents in all were asked using standardised questionnaires covering sociodemographic factors, economic position, access to rights in healthcare, job, education, and decision-making as well as digital involvement. Although most women express empowerment in areas including healthcare access (90.9%), media freedom (91.8%), and social media use (90.0%), descriptive statistics suggest notable deficits in political activity (1.1%), leadership access (47.1%), and equal respect treatment (31.3%). Chi-square testing allowed one to investigate the relationships between perceived empowerment and categorical factors. Statistically significant correlations (p < 0.05) were revealed by the impression of equal respect, media consumption, voting freedom, urban living, and equal access to school and employment. Binary logistic regression analysis highly predicted perceived empowerment by urban residence (OR = 1.601, p = 0.042), equal respect treatment (OR = 2.51, p = 0.001), voting freedom (OR = 1.796, p = 0.016), and social media freedom (OR = 2.698, p = 0.013). The results underline the several aspects of empowerment shaped by psychological events as well as structural access. Apart from proving how well statistical modelling catches complex social interactions, this work offers proof to direct the creation of policies. Resource-based treatments and norm-changing strategies have to work together to provide inclusive and quantifiable empowerment.

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Journal
Global Journal of Mathematics and Statistics
Published
2025-06-02
DOI
https://doi.org/10.61424/gjms.v2i1.321
Primary Topic
Agricultural risk and resilience
Type
article
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article

Perceptions on Determinants of Women's Empowerment in Bangladesh: A Cross-sectional Study

Shahinul Alam, Fathelrahman Mahdi Hassan, Hazrat Ali, Abul Hossain et al.
Global Journal of Mathematics and Statistics
Agricultural risk and resilience
article

Perceptions on Determinants of Women's Empowerment in Bangladesh: A Cross-sectional Study

Shahinul Alam, Fathelrahman Mahdi Hassan, Hazrat Ali, Abul Hossain, K. M. Taufiqur Rahman, Faijun Nahar Mim, Farjana Afrin Koasha, Hafiza Akter Mim
article en

Abstract

The aim of this study is to ascertain the primary elements influencing women's views of empowerment by use of statistical analysis. 560 respondents in all were asked using standardised questionnaires covering sociodemographic factors, economic position, access to rights in healthcare, job, education, and decision-making as well as digital involvement. Although most women express empowerment in areas including healthcare access (90.9%), media freedom (91.8%), and social media use (90.0%), descriptive statistics suggest notable deficits in political activity (1.1%), leadership access (47.1%), and equal respect treatment (31.3%). Chi-square testing allowed one to investigate the relationships between perceived empowerment and categorical factors. Statistically significant correlations (p < 0.05) were revealed by the impression of equal respect, media consumption, voting freedom, urban living, and equal access to school and employment. Binary logistic regression analysis highly predicted perceived empowerment by urban residence (OR = 1.601, p = 0.042), equal respect treatment (OR = 2.51, p = 0.001), voting freedom (OR = 1.796, p = 0.016), and social media freedom (OR = 2.698, p = 0.013). The results underline the several aspects of empowerment shaped by psychological events as well as structural access. Apart from proving how well statistical modelling catches complex social interactions, this work offers proof to direct the creation of policies. Resource-based treatments and norm-changing strategies have to work together to provide inclusive and quantifiable empowerment.

Global Journal of Mathematics and StatisticsVol. 2(1)
Mawlana Bhashani Science and Technology University (BD), Baird Institute (AU)
Openalex Percentile: Top 79%
Agricultural risk and resilience
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