Nonorthogonal fixed-effects experimental designs are discussed using both the full rank and reduction in error sums of squares conceptualizations of data analysis. The hypotheses tested by several commonly used methods of analysis are clarified and suggestions for choice of the most appropriate procedure are proposed.
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