Wencheko, Eshetu(Prof.)Lemessa, Reta2022-04-122023-11-092022-04-122023-11-092013-04http://10.90.10.223:4000/handle/123456789/31276The fertility level of Ethiopia, especially in the rural areas, is unacceptably high. This is leading to negative influence on economic and social development. Thus, understanding those factors that influence the fert ility intention of women is important for family planning program purposes and population policy. The main objective of thi s study is to identify factors which influence women's intentions to limit child-bearing in rural Ethiopia. The source of the data was the 20 II Ethiopian Demographic and Health Survey. A weighted sub-sample of 10,864 women was drawn from the DHS women's dataset. The ordinary logistic regression analysis and multilevel logistic regression were applied to examine the association between intention to limit childbearing and demographic, socio-economic, and cultural characteristics. The ordinary logistic regression analysis revealed that the age of a woman, region of residence, religion, woman's education, knowledge about fami ly planning (FP), current use of any family planning method, marital status of women, visited by FP workers, wealth index, media exposure, number of living children and occupation of women were the most important variables that explained the variability in desi re to limit child-bearing. The multilevel logistic regression analysis showed that there were substantial variations in desire to limit chi ld-bearing among eight regions in rural Ethiopia. Accordingly, the random intercept model revealed that there was a significance variation in intention to limit child-bearing across the considered regions. Results of random coefficient for the selected few predictor variables, number of living children was found to be signi ficant in explaining variations in intention to limit child-bearing across the regions. Thus, improving access to fam ily planning services to women who have achieved their fertility goals would be important.enFactors Influencing Women's Intention to Limit Child-bearingThesis