FACTOR VARIABLES=var_list[ /METHOD = {CORRELATION, COVARIANCE} ] [ /EXTRACTION={PC, PAF}] [ /ROTATION={VARIMAX, EQUAMAX, QUARTIMAX, NOROTATE}] [ /PRINT=[INITIAL] [EXTRACTION] [ROTATION] [UNIVARIATE] [CORRELATION] [COVARIANCE] [DET] [KMO] [SIG] [ALL] [DEFAULT] ] [ /PLOT=[EIGEN] ] [ /FORMAT=[SORT] [BLANK(n)] [DEFAULT] ] [ /CRITERIA=[FACTORS(n)] [MINEIGEN(l)] [ITERATE(m)] [ECONVERGE (delta)] [DEFAULT] ] [ /MISSING=[{LISTWISE, PAIRWISE}] [{INCLUDE, EXCLUDE}] ]

The `FACTOR`

command performs Factor Analysis or Principal Axis Factoring on a dataset. It may be used to find
common factors in the data or for data reduction purposes.

The `VARIABLES`

subcommand is required. It lists the variables which are to partake in the analysis.

The `/EXTRACTION`

subcommand is used to specify the way in which factors (components) are extracted from the data.
If `PC`

is specified, then Principal Components Analysis is used.
If `PAF`

is specified, then Principal Axis Factoring is
used. By default Principal Components Analysis will be used.

The `/ROTATION`

subcommand is used to specify the method by which the extracted solution will be rotated.
Three methods are available: `VARIMAX`

(which is the default), `EQUAMAX`

, and `QUARTIMAX`

.
If don't want any rotation to be performed, the word `NOROTATE`

will prevent the command from performing any
rotation on the data. Oblique rotations are not supported.

The `/METHOD`

subcommand should be used to determine whether the covariance matrix or the correlation matrix of the data is
to be analysed. By default, the correlation matrix is analysed.

The `/PRINT`

subcommand may be used to select which features of the analysis are reported:

`UNIVARIATE`

A table of mean values, standard deviations and total weights are printed.`INITIAL`

Initial communalities and eigenvalues are printed.`EXTRACTION`

Extracted communalities and eigenvalues are printed.`ROTATION`

Rotated communalities and eigenvalues are printed.`CORRELATION`

The correlation matrix is printed.`COVARIANCE`

The covariance matrix is printed.`DET`

The determinant of the correlation or covariance matrix is printed.`KMO`

The Kaiser-Meyer-Olkin measure of sampling adequacy and the Bartlett test of sphericity is printed.`SIG`

The significance of the elements of correlation matrix is printed.`ALL`

All of the above are printed.`DEFAULT`

Identical to`INITIAL`

and`EXTRACTION`

.

If `/PLOT=EIGEN`

is given, then a “Scree” plot of the eigenvalues will be printed. This can be useful for visualizing
which factors (components) should be retained.

The `/FORMAT`

subcommand determined how data are to be displayed in loading matrices. If `SORT`

is specified, then the variables
are sorted in descending order of significance. If `BLANK(`

`n``)`

is specified, then coefficients whose absolute value is less
than `n` will not be printed. If the keyword `DEFAULT`

is given, or if no `/FORMAT`

subcommand is given, then no sorting is
performed, and all coefficients will be printed.

The `/CRITERIA`

subcommand is used to specify how the number of extracted factors (components) are chosen.
If `FACTORS(`

`n``)`

is
specified, where `n` is an integer, then `n` factors will be extracted. Otherwise, the `MINEIGEN`

setting will
be used.
`MINEIGEN(`

`l``)`

requests that all factors whose eigenvalues are greater than or equal to `l` are extracted.
The default value of `l` is 1.
The `ECONVERGE`

setting has effect only when iterative algorithms for factor
extraction (such as Principal Axis Factoring) are used.
`ECONVERGE(`

`delta``)`

specifies that
iteration should cease when
the maximum absolute value of the communality estimate between one iteration and the previous is less than `delta`. The
default value of `delta` is 0.001.
The `ITERATE(`

`m``)`

may appear any number of times and is used for two different purposes.
It is used to set the maximum number of iterations (`m`) for convergence and also to set the maximum number of iterations
for rotation.
Whether it affects convergence or rotation depends upon which subcommand follows the `ITERATE`

subcommand.
If `EXTRACTION`

follows, it affects convergence.
If `ROTATION`

follows, it affects rotation.
If neither `ROTATION`

nor `EXTRACTION`

follow a `ITERATE`

subcommand it will be ignored.
The default value of `m` is 25.

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.
This is the default.
If `LISTWISE`

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

.