SPSS® 12.0 Command Syntax Reference

844 MANOVA: Univariate
Example
Overview
Options
MANOVA YIELD BY SEED(1,4) FERT(1,3)
/DESIGN.
This section describes the use of MANOVA for univariate analyses. However, the subcommands
described here can be used in any type of analysis with MANOVA. For additional subcommands
used in those types of analysis, see MANOVA: Multivariate and MANOVA:
Repeated Measures. For basic specification, syntax rules, and limitations of the MANOVA
procedures, see MANOVA: Overview.
Design Specification. You can specify which terms to include in the design on the DESIGN subcommand.
This allows you to estimate a model other than the default full factorial model,
incorporate factor-by-covariate interactions, indicate nesting of effects, and indicate specific
error terms for each effect in mixed models. You can specify a different continuous variable
as a dependent variable or work with a subset of the continuous variables with the ANALYSIS
subcommand.
Contrast Types. You can specify contrasts other than the default deviation contrasts on the
CONTRAST subcommand. You can also subdivide the degrees of freedom associated with a
factor using the PARTITION subcommand and test the significance of a specific contrast or
group of contrasts.
Optional Output. You can choose from a wide variety of optional output on the PRINT subcommand
or suppress output using the NOPRINT subcommand. Output appropriate to univariate
designs includes cell means, design or other matrices, parameter estimates, and tests for
homogeneity of variance across cells. Using the OMEANS, PMEANS, RESIDUAL, and PLOT
subcommands, you can also request tables of observed and/or predicted means, casewise
values and residuals for your model, and various plots useful in checking assumptions. In
addition, you can request observed power values based on fixed-effect assumptions using the
POWER subcommand and request simultaneous confidence intervals for each parameter
estimate and regression coefficient using the CINTERVAL subcommand.
Matrix Materials. You can write matrices of intermediate results to a matrix data file, and you
can read such matrices in performing further analyses using the MATRIX subcommand.
Basic Specification
• The basic specification is a variable list identifying the dependent variable, the factors (if
any), and the covariates (if any).
• By default, MANOVA uses a full factorial model, which includes all main effects and all
possible interactions among factors. Estimation is performed using the cell-means model
and UNIQUE (regression-type) sums of squares, adjusting each effect for all other effects