The existence of such correlation may reduce the

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Unformatted text preview: stence of such correlation may reduce the power of MANOVA (7,19) in detecting differences among independent variables. Remedial measures include several options such as using repeated measures analysis and principal component analysis. In the repeated measures MANOVA (19), a set of new variables (D1, D2, and D3) are derived from the mean differences between successive DS values as follows: D1 = DS2 – DS1, D2 = DS3 – DS2, and D3 = DS4 – DS3. These new variables are then used as dependent variables. Principal component analysis enables the identification of linear combinations of dependent variables with maximum variance, which are uncorrelated to each other. These components are then used as dependent variables in lieu of the correlated original variables. A drawback of using principal component as a remedial procedure may be the difficulties in interpreting the results. Two other matters related to the use of MANOVA include the handling of a significant effect and the choice of a test statistic...
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