The skew-normal distribution is a class of distributions which includes the normal distributions as a special case. In this paper, we explore the use of Markov Chain Monte Carlo (MCMC) methods to develop a Bayesian analysis in multivariate null intercept measurement error model (Aoki et al., 2003b) where the unobserved value of the covariate (latent variable) follows a skew—normal distribution. The results and methods are applied to a real dental clinical trial presented in Hadgu and Koch (1999).