SPSS® 12.0 Command Syntax Reference

1602 UNIANOVA
Overview
Options
** Default if subcommand or keyword is omitted.
Temporary variables (tempvar) are:
PRED, WPRED, RESID, WRESID, DRESID, ZRESID, SRESID, SEPRED, COOK, LEVER
Example
UNIANOVA YIELD BY SEED FERT
/DESIGN.
This section describes the use of UNIANOVA for univariate analyses. The UNIANOVA procedure
provides regression analysis and analysis of variance for one dependent variable by one
or more factors and/or variables.
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 or covariate-by-covariate interactions, and indicate
nesting of effects.
Contrast Types. You can specify contrasts other than the default deviation contrasts on the
CONTRAST subcommand.
Optional Output. You can choose from a wide variety of optional output on the PRINT subcommand.
Output appropriate to univariate designs includes descriptive statistics for each cell,
parameter estimates, Levene’s test for equality of variance across cells, partial eta-squared
for each effect and each parameter estimate, the general estimable function matrix, and a
contrast coefficients table (L’ matrix). The OUTFILE subcommand allows you to write out
the covariance or correlation matrix, the design matrix, or the statistics from the betweensubjects
ANOVA table into a separate SPSS data file.
Using the EMMEANS subcommand, you can request tables of estimated marginal means
of the dependent variable and their standard deviations. The SAVE subcommand allows you
to save predicted values and residuals in weighted or unweighted and standardized or
unstandardized forms. You can specify different means comparison tests for comparing all
possible pairs of cell means using the POSTHOC subcommand. In addition, you can specify
your own hypothesis tests by specifying an L matrix and a K matrix to test the univariate
hypothesis LB = K.
Basic Specification
• The basic specification is a variable list identifying the dependent variable, the factors (if
any), and the covariates (if any).
• By default, UNIANOVA uses a model that includes the intercept term, the covariate (if any),
and the full factorial model, which includes all main effects and all possible interactions
among factors. The intercept term is excluded if it is excluded in the model by specifying