SPSS® 12.0 Command Syntax Reference

1192 PARTIAL CORR
Matrix Input and Output. You can read and write zero-order correlation matrices using the
MATRIX subcommand.
Basic Specification
The basic specification is the VARIABLES subcommand, which specifies a list of variables
to be correlated and one or more control variables following keyword BY. PARTIAL CORR
calculates the partial correlation of each variable with every other variable specified on the
correlation variable list.
Subcommand Order
Subcommands can be specified in any order.
• If VARIABLES is the first subcommand used on PARTIAL CORR, keyword VARIABLES can
be omitted.
• If VARIABLES is not the first subcommand specified on PARTIAL CORR, both the subcommand
keyword VARIABLES and the equals sign are required.
Operations
PARTIAL CORR produces one matrix of partial correlation coefficients for each of up to five
order values. For each coefficient, PARTIAL CORR prints the degrees of freedom and the significance
level.
Limitations
Example
• Maximum 25 variable lists on a single PARTIAL CORR command. Each variable list
contains a correlation list, a control list, and order values.
• Maximum 400 variables total can be named or implied per PARTIAL CORR command.
• Maximum 100 control variables.
• Maximum 5 different order values per single list. The largest order value that can be
specified is 100.
PARTIAL CORR VARIABLES=PUBTRANS MECHANIC BUSDRVER BY NETPURSE(1).
• PARTIAL CORR produces a square matrix containing three unique first-order partial
correlations: PUBTRANS with MECHANIC controlling for NETPURSE; PUBTRANS with
BUSDRVER controlling for NETPURSE; and MECHANIC with BUSDRVER controlling for
NETPURSE.