DESIGN Keyword (MANOVA: Univariate command)

You can enter one or more of the following specifications in parentheses following the keyword DESIGN. If DESIGN is requested without further specification, the default is OVERALL.

The DECOMP and BIAS matrices can provide valuable information about the confounding of the effects and the estimability of the chosen contrasts. If two effects are confounded, the entry corresponding to them in the BIAS matrix will be nonzero; if the effects are orthogonal, the entry will be zero. This feature is particularly useful in designs with unpatterned empty cells. For further discussion of the matrices, see Bock (1985).

OVERALL. The overall reduced-model design matrix (not the contrast matrix). This setting is the default.

ONEWAY. The one-way basis matrix (not the contrast matrix) for each factor.

DECOMP. The upper triangular QR/CHOLESKY decomposition of the design.

BIAS. Contamination coefficients displaying the bias that is present in the design.

SOLUTION. Coefficients of the linear combinations of the cell means that are used in significance testing.

REDUNDANCY. Exact linear combinations of parameters that form a redundancy. This keyword displays a table only if QR (the default) is the estimation method.

COLLINEARITY. Collinearity diagnostics for design matrices. These diagnostics include the singular values of the normalized design matrix (which are the same as those values of the normalized decomposition matrix), condition indexes corresponding to each singular value, and the proportion of variance of the corresponding parameter accounted for by each principal component. For greatest accuracy, use the QR method of estimation whenever you request collinearity diagnostics.

ALL. All available options.