Let us imagine that we are comparing four means, \mu_1,\mu_2,\mu_3,\mu_4.
In a balanced one-way analysis of variance, using orthogonal contrasts has the advantage of completely partitioning the treatment sum of squares into non-overlapping additive components that represent the variation due to each contrast [REF].