| dc.description.abstract | The dissertation examined gender-based domestic violence among women in Uganda. It explored the factors influencing domestic violence, including demographic, socio-economic, and other determinants. The research adopted cross sectional analysis from UDHS which involved quantitative approach utilizing secondary data from national surveys and reports (UDHS 2016). The research involved a substantial sample of 4,325 respondents and the analysis involved univariate, bivariate and multivariate analysis From the univariate analysis most of the respondent were of age 35 – 49 (24.4%), 50.6%their place of residence was urban, 50.7%women had their first cohabitation at the age of 15 – 19 years, 56.0%had highest wealth status, 42.7% had attended at least primary level, 47.7% had their husband’s doing manual work, 38.5% their husband’s attended primary level. Majority of women (67.0%) their husband had no other wife, 39.7% had between 1-3 children, majority of the women their husbands don’t consume alcohol (64.7%). In the bivariate analysis women's Age (p = 0.103) and number of co-wives (p = 0.099) had no statistically significant relationship with domestic violence since the p > 0.05. Place of Residence (p = 0.01), age at first cohabitation (p = 0.000), wealth status (p = 0.000), women’s education level (p = 0.000), husband/partner's occupation (p = 0.000), husband’s education level (p = 0.000), parity (p = 0.000) and duration of marriage (p = 0.000) were all statistically significant related to domestic violence among women this is because the p<0.05. Based on the multivariate analysis, there was a statistically significant relationship between husband/partner’s alcohol consumption (“Yes”) and domestic violence, indicated higher odds(OR = 3.04) of violence when alcohol is consumed. Age at first cohabitation in the 30 – 44 category was associated with lower odds (OR = 0.20) of domestic violence. Women with higher education levels have significantly lower odds (OR = 0.36) of experienced to domestic violence. None of the other variables showed statistically significant relationship with domestic violence. It’s important to note that while some relationships are statistically significant, the results do not imply causation. They indicate associations between variables. Additionally, the absence of statistical significance does not mean the absence of real world relationship. It may be due to sample size or other factors. Therefore, the government must strengthen the implementation and enforcement of existing laws, put protection measures and legal consequences. | en_US |
