Unveiling Frequently Co-Occurring Reasons of Attitudinal Acceptance of Intimate Partner Violence against Women: A Behavioral Data Science Perspective

Muhammad Yasir, Ayesha Ashraf, Muhammad Umar Chaudhry (), Syeda Azra Batool, Syeda Shahida Batool, Elzbieta Jasinska (), Zbigniew Leonowicz and Michal Jasinski
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Muhammad Yasir: Department of Computer Science, Faisalabad Campus, University of Engineering and Technology Lahore, Faisalabad 38000, Pakistan
Ayesha Ashraf: Department of Economics, The Women University, Multan 60000, Pakistan
Muhammad Umar Chaudhry: Department of Computer Science, MNS-University of Agriculture, Multan 60000, Pakistan
Syeda Azra Batool: School of Economics, Bahauddin Zakariya University, Multan 60000, Pakistan
Syeda Shahida Batool: Department of Psychology, GC University, Lahore 54000, Pakistan
Elzbieta Jasinska: Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Zbigniew Leonowicz: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland
Michal Jasinski: Department of Electrical Engineering Fundamentals, Faculty of Electrical Engineering, Wroclaw University of Science and Technology, 50-370 Wroclaw, Poland

IJERPH, 2022, vol. 19, issue 19, 1-18

Abstract: The results of gender equality indicators across the world in the form of prevalence of intimate partner violence (IPV) against women are striking and has thus drawn the attention of policy makers as well as necessitates the adoption of a comprehensive system to deal with. The situation of IPV in Pakistan is alarming. This study examines the acceptability attitude of women and men toward intimate partner violence against women through data science. It discovers and contrasts the frequently co-occurring reasons due to which husbands’ behaviour of beating their wives is believed to be legitimate by both partners in the province of Punjab, Pakistan. Though the discovered frequently co-occurring reasons, such as “arguing with the husband and neglecting the children” altogether, are similar in both genders but the fraction of wives believing in such reasons are significantly greater than that of husbands. This psychological disparity across genders could help in identifying the social and cultural factors to whom this disparity is attributed. It is expected that the identified co-occurring groups of reasons would help to understand the problem to the next level and devise better strategies to mitigate them.

Keywords: intimate partner violence (IPV); gender-based violence; victimization; behavioural data science (BDS); frequent itemset mining; data mining (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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