SPSS® 12.0 Command Syntax Reference

Operations
Example
FACTOR 549
• VARIABLES calculates a correlation and a covariance matrix. If SELECT is specified, only
the selected cases are used.
• The correlation or covariance matrix (either calculated from the data or read in) is the basis
for the factor analysis.
• Factor scores are calculated for all cases (selected and unselected).
FACTOR VARIABLES=V1 TO V12.
• This example uses the default CORRELATION method.
• It produces the default principal components analysis of 12 variables. Those with eigenvalues
greater than 1 (the default criterion for extraction) are rotated using varimax rotation
(the default).
VARIABLES Subcommand
VARIABLES names all the variables to be used in the FACTOR procedure.
• VARIABLES is required except when matrix input is used. When FACTOR reads a matrix
data file, the VARIABLES subcommand cannot be used.
• The specification on VARIABLES is a list of numeric variables.
• Keyword ALL on VARIABLES refers to all variables in the working data file.
• Only one VARIABLES subcommand can be specified, and it must be specified first.
MISSING Subcommand
MISSING controls the treatment of cases with missing values.
• If MISSING is omitted or included without specifications, listwise deletion is in effect.
• MISSING must precede the ANALYSIS subcommand.
• The LISTWISE, PAIRWISE, and MEANSUB keywords are alternatives, but any one of them
can be used with INCLUDE.
LISTWISE Delete cases with missing values listwise. Only cases with nonmissing
values for all variables named on the VARIABLES subcommand are used.
Cases are deleted even if they have missing values only for variables listed
on VARIABLES and have valid values for all variables listed on ANALYSIS.
Alias DEFAULT.
PAIRWISE Delete cases with missing values pairwise. All cases with nonmissing values
for each pair of variables correlated are used to compute that correlation,
regardless of whether the cases have missing values for any other variable.