There are several possible reasons why sexually active women may not intend to userncontraception. These include lack of knowledge about contraception, lack of knowledge aboutrnwhere contraceptives can be obtained, difficulty in obtaining contraceptives, high cost ofrncontraceptives, separation from husband, desire for more children, opposition to familyrnplanning, health concerns or worries about side effects, presumed infecundity and religiousrnprohibitions. This study aims to identify factors that affect the intention not to userncontraceptives among sexually active women in Ethiopia. The data used for this study comernfrom 200S Ethiopia Demographic and Health Survey (EDHS, 200S). We used Bayesianrnlogistic regression model to model the effects of the covariates included. Inference is fullyrnBayesian based on Markov chain Monte Carlo techniques. These models allow us to analyzerngeneralized linear effects of categorical covariates within a Bayesian framework for modelingrnand inference. The variables age of women, number of living children, place of residence,rnreligion, educational level of women, knowledge of any method, ever use of contraceptivernmethods, heard contraceptive methods through radio and visited a health facility are foundrnstatistically significant. It is recommended that educational status and knowledge of a womanrnshould be improved either through formal or through non-formal approaches; contraceptivesrninformation should be disseminated through media, and access to health facilities should bernimproved.