THE ETA COEFFICIENT IN MANOVA

Methods for the calculation of eta squared have recently been presented for examining the strength of relationship in univariate analysis of variance. This paper extends them to the multivariate used in which the effects of independent variables may be examined in relation to two or more dependent variables and presents considerations for the calculation, use, and interpretation of the coefficients. The concepts of eta squared are generalized to the rnultivaziate case through the application of the multivariate general linear hypothesis Both orthogronal and nonorthogonal solutions are considered and an example of the former is presented.