PRINT Subcommand (FACTOR command)

PRINT controls the statistical display in the output.

• Keywords INITIAL, EXTRACTION, and ROTATION are the defaults if PRINT is omitted or specified without keywords.
• If any keywords are specified, only the output specifically requested is produced.
• The requested statistics are displayed only for variables specified on the last ANALYSIS subcommand.
• If more than one PRINT subcommand is specified, the last is in effect.
• If any ANALYSIS subcommand is explicitly specified, all PRINT subcommands specified before the last ANALYSIS subcommand are ignored. If no PRINT subcommand is specified after the last ANALYSIS subcommand, the default takes effect.

INITIAL. Initial communalities for each variable, eigenvalues of the unreduced correlation matrix, and percentage of variance for each factor.

EXTRACTION. Factor pattern matrix, revised communalities, the eigenvalue of each factor retained, and the percentage of variance each eigenvalue represents.

ROTATION. Rotated factor pattern matrix, factor transformation matrix, factor correlation matrix, and the post-rotation sums of squared loadings.

UNIVARIATE. Valid number of cases, means, and standard deviations. (Not available with matrix input.) If MISSING=MEANSUB or PAIRWISE, the output also includes the number of missing cases.

CORRELATION. Correlation matrix. Ignored if the input is a factor-loading matrix.

COVARIANCE. Covariance matrix. Ignored if the input is a factor-loading matrix or a correlation matrix that does not contain standard deviations (STDDEV or SD).

SIG. Matrix of significance levels of correlations.

DET. Determinant of the correlation or covariance matrix, depending on the specification on METHOD.

INV. Inverse of the correlation or covariance matrix, depending on the specification on METHOD.

AIC. Anti-image covariance and correlation matrices ¹. The measure of sampling adequacy for the individual variable is displayed on the diagonal of the anti-image correlation matrix.

KMO. Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s test of sphericity. Always based on the correlation matrix. Not computed for an input matrix when it does not contain N values.

REPR. Reproduced correlations and residuals or reproduced covariance and residuals, depending on the specification on METHOD.

FSCORE. Factor score coefficient matrix. Factor score coefficients are calculated using the method requested on the SAVE subcommand. The default is the regression method.

ALL. All available statistics.

DEFAULT. INITIAL, EXTRACTION, and ROTATION.

Example

FACTOR VARS=V1 TO V12
  /SELECT=COMPLETE (‘yes’)
  /MISS=MEANSUB
  /PRINT=DEF AIC KMO REPR
  /EXTRACT=ULS
  /ROTATE=VARIMAX.

• This example specifies a factor analysis that includes all variables between and including V1 and V12 in the active dataset.
• Only cases with the value “yes” on COMPLETE are used.
• Variable means are substituted for missing values. Only values for the selected cases are used in computing the mean. This mean is used to substitute missing values in analyzing the selected cases and in computing factor scores for all cases.
• The output includes the anti-image correlation and covariance matrices, the Kaiser-Meyer-Olkin measure of sampling adequacy, the reproduced correlation and residual matrix, as well as the default statistics.
• Factors are extracted using unweighted least squares.
• The factor pattern matrix is rotated using the varimax rotation.