CORRELATIONS /VARIABLES =var_list[ WITHvar_list] [ . . . /VARIABLES =var_list[ WITHvar_list] /VARIABLES =var_list[ WITHvar_list] ] [ /PRINT={TWOTAIL, ONETAIL} {SIG, NOSIG} ] [ /STATISTICS=DESCRIPTIVES XPROD ALL] [ /MISSING={PAIRWISE, LISTWISE} {INCLUDE, EXCLUDE} ]

The `CORRELATIONS`

procedure produces tables of the Pearson correlation coefficient
for a set of variables. The significance of the coefficients are also given.

At least one `VARIABLES`

subcommand is required. If the `WITH`

keyword is used, then a non-square correlation table will be produced.
The variables preceding `WITH`

, will be used as the rows of the table,
and the variables following will be the columns of the table.
If no `WITH`

subcommand is given, then a square, symmetrical table using all variables is produced.

The `MISSING`

subcommand determines the handling of missing variables.
If `INCLUDE`

is set, then user-missing values are included in the
calculations, but system-missing values are not.
If `EXCLUDE`

is set, which is the default, user-missing
values are excluded as well as system-missing values.

If `LISTWISE`

is set, then the entire case is excluded from analysis
whenever any variable specified in any `/VARIABLES`

subcommand
contains a missing value.
If `PAIRWISE`

is set, then a case is considered missing only if either of the
values for the particular coefficient are missing.
The default is `PAIRWISE`

.

The `PRINT`

subcommand is used to control how the reported significance values are printed.
If the `TWOTAIL`

option is used, then a two-tailed test of significance is
printed. If the `ONETAIL`

option is given, then a one-tailed test is used.
The default is `TWOTAIL`

.

If the `NOSIG`

option is specified, then correlation coefficients with significance less than
0.05 are highlighted.
If `SIG`

is specified, then no highlighting is performed. This is the default.

The `STATISTICS`

subcommand requests additional statistics to be displayed. The keyword
`DESCRIPTIVES`

requests that the mean, number of non-missing cases, and the non-biased
estimator of the standard deviation are displayed.
These statistics will be displayed in a separated table, for all the variables listed
in any `/VARIABLES`

subcommand.
The `XPROD`

keyword requests cross-product deviations and covariance estimators to
be displayed for each pair of variables.
The keyword `ALL`

is the union of `DESCRIPTIVES`

and `XPROD`

.