Factors Contributing to the Married Men’s attitudes towards wife-beating in Indonesia

Dyah Hapsari Ekonugraheni, Eva Lidya, Yusnaini ., Mery Yanti
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Abstract

Background: Domestic violence is a common problem in Indonesia, especially intimate partner violence (IPV). This study aims to analyze the predictors of attitudes of married men towards wife-beating (WB) for neglecting their children. Methods: The research data comes from the 7th Demography and Health Survey collected by the U.S. Agency for International Development in 2017. The respondents were 10,009 married male respondents aged 15-54 and responded to question 618 (Do you agree WB by husband for neglecting their children?). Results: The results showed that of the ten independent variables identified as predictors of married men’s attitude towards WB for neglecting their children, only six independent variables had a significant relationship, including adultery, age, smoking habit, location of residence, education level, and polygamy. Of these six independent variables, two independent variables (level of education and age) had a negative relationship, and four variables had a positive relationship with dependent variable significantly, p <0.01, with respective contributions of 82% (adultery), 121% (smoking habit), 125% (location of residence), and 233% (polygamy). The final logistic regression model can explain dependent variable of 2.06% significantly, X2 (6) = 170.43, p <0.01. Conclusion: This study suggests government institutions to make policy change in several sectors, such as education, social, information, tourism, health, economic, and regional development policy.
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影响印尼已婚男性对殴打妻子态度的因素
背景:家庭暴力是印度尼西亚的一个普遍问题,尤其是亲密伴侣暴力(IPV)。本研究旨在分析已婚男性对忽视子女而殴打妻子态度的预测因素。方法:研究数据来自美国国际开发署2017年收集的第七次人口与健康调查。调查对象是10009名年龄在15-54岁之间的已婚男性,他们回答了第618个问题(你是否同意丈夫忽视孩子?)结果:研究发现,在10个独立变量中,只有通奸、年龄、吸烟习惯、居住地、受教育程度和一夫多妻制6个独立变量对已婚男性忽视子女的家庭行为态度有显著影响。6个自变量中,2个自变量(受教育程度和年龄)与因变量呈负相关,4个变量与因变量呈显著正相关,p <0.01,分别为82%(通奸)、121%(吸烟习惯)、125%(居住地)和233%(一夫多妻)。最终logistic回归模型能显著解释2.06%的因变量,X2 (6) = 170.43, p <0.01。结论:本研究建议政府机构在教育、社会、信息、旅游、卫生、经济和区域发展政策等多个领域做出政策改变。
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