SPSS® 12.0 Command Syntax Reference

274 CORRELATIONS
VARIABLES Subcommand
VARIABLES specifies the variable list. The actual keyword VARIABLES is optional.
• A simple variable list produces a square matrix of correlations of each variable with every
other variable.
• Variable lists joined by the keyword WITH produce a rectangular correlation matrix.
Variables before WITH define the rows of the matrix and variables after WITH define the
columns.
• The keyword ALL can be used on the variable list to refer to all user-defined variables.
• You can specify multiple VARIABLES subcommands on a single CORRELATIONS
command. The slash between the subcommands is required; the keyword VARIABLES is not.
PRINT Subcommand
PRINT controls whether the significance level is based on a one- or two-tailed test and whether
the number of cases and the significance level for each correlation coefficient are displayed.
TWOTAIL Two-tailed test of significance. This test is appropriate when the direction of
the relationship cannot be determined in advance, as is often the case in
exploratory data analysis. This is the default.
ONETAIL One-tailed test of significance. This test is appropriate when the direction of
the relationship between a pair of variables can be specified in advance of
the analysis.
SIG Do not flag significant values. SIG is the default.
NOSIG Flag significant values. Values significant at the 0.05 level are flagged with
a single asterisk; those that are significant at the 0.01 level are flagged with
two asterisks.
STATISTICS Subcommand
The correlation coefficients are automatically displayed in the Correlations table for an
analysis specified by a VARIABLES list. STATISTICS requests additional statistics.
DESCRIPTIVES Display mean, standard deviation, and number of nonmissing cases for each
variable on the Variables list in the Descriptive Statistics table. This table
precedes all Correlations tables. Variables specified on more than one
VARIABLES lists are displayed only once. Missing values are handled on a
variable-by-variable basis regardless of the missing-value option in effect
for the correlations.
XPROD Display cross-product deviations and covariance for each pair of variables
in the Correlations table(s).
ALL All additional statistics. This produces the same statistics as DESCRIPTIVES
and XPROD together.