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ISSN: 2168-9717

Journal of Architectural Engineering Technology
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  • Research Article   
  • J Archit Eng Tech,

Uncovering the Drivers of Violence Against Women and Girls in Brazilian Higher Education: A Partial Least Squares Structural Equation Modelling Approach

Muhammad Qasim Rana1*, Angela Lee1, Jos脙漏 Fernando Rodrigues Bezerra2, Lekan Damilola Ojo3* and Guilherme Hissa Villas Boas4
1University of the Built Environment, Horizons, Reading RG1 4BS, UK
2Department of Geography, State University of Maranh茫o, S茫o Lu铆s 65055-310, Brazil
3Department of Building and Real Estate, Hong Kong Polytechnic University, Hung Hom, Hong Kong
4Department of Geography, Federal University of Rio de Janeiro, Rio de Janeiro 21941-596, Brazil
*Corresponding Author (s) : Muhammad Qasim Rana, University of the Built Environment, Horizons, Reading RG1 4BS, UK, Email: john.richardson@gmail.com
Lekan Damilola Ojo, Department of Building and Real Estate, Hong Kong Polytechnic University, Hung Hom, Hong Kong

Received Date: Jan 01, 2026 / Accepted Date: Jan 29, 2026 / Published Date: Jan 29, 2026

Abstract

Violence against women and girls (VAWG) remains a pervasive challenge within higher education worldwide, and Brazil is no exception. Understanding the underlying causes of such violence is essential for developing effective prevention and policy interventions. This study investigates the key determinants of VAWG in Brazilian higher  education through a structured, data-driven analysis. Using a quantitative approach, structured questionnaires were 
distributed to undergraduate and postgraduate students across multiple Brazilian universities, yielding 247 valid responses. The data were analysed using exploratory factor analysis with Promax rotation and partial least squares structural equation modeling (PLS-SEM). Results from the factor analysis revealed strong intercorrelations among community-level factors and other dimensions of VAWG, while societal factors also emerged as highly influential. 
Significant path coefficients were identified between individual (β = 0.240), interpersonal (β = 0.312), community (β = 0.249), institutional (β = 0.241), and societal (β = 0.251) levels and the overall causal structure of VAWG. Collectively, the 24 critical causal factors identified accounted for 99.1% of the total variance in VAWG determinants. The study contributes to the theoretical understanding of VAWG by integrating five key causal levels and employing a robust statistical framework. Practically, it offers actionable insights for policymakers, university leaders, and educators to design multi-level, evidence-based strategies that promote safer and more gender-equitable academic environments.

Citation: Rana MQ, Lee A, Bezerra JFR, Ojo LD, Boas GHV (2026) Uncovering脗聽the Drivers of Violence Against Women and Girls in Brazilian Higher Education: A脗聽Partial Least Squares Structural Equation Modelling Approach. J Archit Eng Tech脗聽15: 432.

Copyright: 漏 2026 Rana MQ, et al. This is an open-access article distributed under聽the terms of the Creative Commons Attribution License, which permits unrestricted聽use, distribution, and reproduction in any medium, provided the original author and聽Source are credited.

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