SYNOPTIC ABSTRACT
This paper deals with profile analysis in two extended growth curve models. The first is a growth curve model with parallel mean profiles, which has a random effects covariance structure based on a single response variable; the second is a multivariate growth curve model with parallel mean profiles, which has a multivariate random effects covariance structure based on several response variables. For testing “no condition variation” and “level” hypotheses concerning parallel mean profiles of several groups, we obtain the Wald's criteria (Trans. Amer. Math. Soc. 54 (1943) 426–482) and their asymptotic non-null distributions. A numerical example is also given.