The Central Statistical Agency （CSA） of Ethiopia included some questions in its 2005 Demographic and Health Survey （DHS） questionnaire, asking for the opinion of men and women if wives beaten by husbands is justif...The Central Statistical Agency （CSA） of Ethiopia included some questions in its 2005 Demographic and Health Survey （DHS） questionnaire, asking for the opinion of men and women if wives beaten by husbands is justified if wives commit some mistakes while they are undertaking their day to day family responsibilities and other personal functions. The sample size was about 14,000 women in the reproductive and productive ages of 15-49 and about 6,000 men in the age brackets of 15-59. The reasons for wife beating by husbands are examined against some selected independent background variables of the sampled men and women respondents, while the dependent variables are the responses to questions of wife beating. With respect to the analytical model, the author decided to focus on some descriptive statistics, such as frequency distributions tables, proportions, comparative analysis, and application of chi-squares （Xz） techniques to examine the variations in the responses of women and men amongst the independent backgrounds.展开更多
文摘The Central Statistical Agency （CSA） of Ethiopia included some questions in its 2005 Demographic and Health Survey （DHS） questionnaire, asking for the opinion of men and women if wives beaten by husbands is justified if wives commit some mistakes while they are undertaking their day to day family responsibilities and other personal functions. The sample size was about 14,000 women in the reproductive and productive ages of 15-49 and about 6,000 men in the age brackets of 15-59. The reasons for wife beating by husbands are examined against some selected independent background variables of the sampled men and women respondents, while the dependent variables are the responses to questions of wife beating. With respect to the analytical model, the author decided to focus on some descriptive statistics, such as frequency distributions tables, proportions, comparative analysis, and application of chi-squares （Xz） techniques to examine the variations in the responses of women and men amongst the independent backgrounds.
