Abstract: In this paper, We consider the Bayesian influence on the unknown parameter matrix in a growth curve model with Rao’s simple covariance structure （RSS）. Under the non-information prior distribution assumption, the K-L divergence is used to evaluate the effect of a designated response matrix on the posterior distribition of the parameter matrix.