The effect of the transformation on the subsequent analyses as expressed by ANOVA tests is emphasized here in contrast to the search for a “correct” transformation. New criteria of transformation based on half-normal standard deviates of statistics which test homogeneity of variances and additivity are presented. These criteria, the maximum likelihood criterion of Box and Cox [8] and the criterion of Schlesselman [22] are compared by Monte Carlo simulations for some linear models.