Community-level variables related to acceptance of violence, age, and educational differences between partners, were calculated. All women from the communities contributed to the community-level variables, whether or not they are in the analysis samples. The multivariate logistic regression analyses were performed using Huber-White standard errors in Stata. This modeling approach corrects the estimated standard errors to allow for clustering of individuals within the communities and to permit an unbiased assessment of the impact of the community-level variables, controlling for individual-level factors. Preliminary results show that age, education, and exposure to some form of violence at some stage in life are common determinants of domestic violence across regions. Policy changes at international, national and regional level needs to be implemented to end domestic violence and improve status of women.
Learning Objectives: 1. Articulate the prevalence of physical, sexual and emotional domestic violence among women in countries across Asia and Africa. 2. Identify who is at risk or individual and contextual risk factors associated with intimate partner violence in countries across Asia and Africa. 3. Explore possible intervention and policy implications of the findings.
Sub-Theme: Gender discrimination and violence against women
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