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Effect of Education on Attitude Towards Domestic Violence in Nigeria: An Exploration Using Propensity Score Methodology

机译:教育对尼日利亚家庭暴力态度的影响:使用倾向分数方法进行探索

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Propensity Score Methodology (PSM) was used to investigate the effect of education on attitude towards domestic violence (ATDV) among men and women in Nigeria. A total of 14,495 and 33,419 records were extracted for men and women respectively from the 2016-2017 Multiple Indicator Cluster Survey (MICS) in Nigeria. The outcome variable was ATDV. The study framework described the role of education on ATDV in the light of demographic characteristics, socioeconomic profile, and lifestyle. Selection bias was checked among the levels of education using the multinomial logit regression. Propensity scores (PS) and PS weights were generated for the treatment variable and average treatment effects (ATE) of ATDV were estimated using logistic regression that combined regression adjustment and inverse-probability weight. Descriptive statistics, odds ratios and 95%CI were presented. The mean age of men and women were 30.8±10.2 years and 29±9.4 years respectively. About 22% men and 35% women justified domestic violence (DV) respectively. Selection bias was found between the covariates and level of education (p<0.05). PSM effectively corrected the selection bias (SD diff ≈ 0, Variance ratio ≈ 1). Men (AOR = 0.84, 95% CI: 0.78, 0.92) and women (AOR=0.94, 95%CI: 0.80, 2.22) who have attained tertiary level of education were less likely to justify DV in comparison to their uneducated counterparts. Tertiary education was protective for ATDV among men and women. The use of PSM effectively controlled for selection bias in estimating the effect of education on ATDV. PSM will enable researchers make causal inference from non-experimental/cross-sectional studies in situations where randomized control trials are not feasible.
机译:倾向评分方法(PSM)用于调查教育对尼日利亚男女妇女的对家庭暴力(ATDV)的影响。分别从尼日利亚的2016-2017多个指标集群调查(MICS)中分别为男女和女性提取了14,495和33,419条。结果变量是ATDV。该研究框架描述了教育在人口统计特征,社会经济型材和生活方式中的作用。使用多项Logit回归在教育水平之间进行选择偏见。为使用组合回归调整和反向概率重量的逻辑回归估计ATDV的治疗变量(PS)和PS重量产生倾向分数(PS)和PS重量。提出了描述性统计,赔率比和95%CI。男性和女性的平均年龄分别为30.8±10.2岁,分别为29±9.4倍。大约22%的男性和35%的女性分别为家庭暴力(DV)。在协变量和教育水平之间发现了选择偏见(P <0.05)。 PSM有效地校正了选择偏压(SDDEFF≈0,方差比≈1)。男性(AOR = 0.84,95%CI:0.78,0.92)和女性(AOR = 0.94,95%CI:0.80,2.22)达到高等教育水平的可能性不太可能与其未经教育的对应相比证明DV。第三教育对男女艾迪夫进行了保护。 PSM的使用有效地控制了估算教育对ATDV效果的选择偏差。 PSM将使研究人员能够在随机调控试验不可行的情况下从非实验/横截面研究中产生因果性推理。

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