Volume 6, Issue 2 (11-2022)                   JSBCH 2022, 6(2): 874-884 | Back to browse issues page

XML Print

1- Department of Sociology, Sriwijaya University, Palembang, Indonesia , dyahhapsari@fisip.unsri.ac.id
2- Department of Sociology, Sriwijaya University, Palembang, Indonesia
Abstract:   (425 Views)
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.
Full-Text [PDF 187 kb]   (376 Downloads) |   |   Full-Text (HTML)  (631 Views)  
Type of Study: Original Article | Subject: Social Behavior
Received: 2022/09/8 | Accepted: 2022/11/9 | Published: 2022/11/15

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.