Setting Options

Option Name	Description
Methods
Factor Extraction
Show only common extraction methods	specifies to include only the common extraction methods in the Factor extraction method drop-down list. The common extraction methods are iterated principal factor analysis, maximum likelihood, and principal component analysis.
Factor extraction method	specifies the extraction method to use for extracting factors. If the Show only common extraction methods check box is not selected, the common extraction methods and these additional methods are available: Alpha factor analysis Harris component analysis Image component analysis Unweighted least squares factor analysis
Number of factors	specifies the maximum number of factors to be extracted. The default is the number of variables.
Details
Estimation method for prior communalities	specifies a method for computing prior communality estimates. You can select from these options: Squared multiple correlation Adjusted squared multiple correlation Set to 1.0 Maximum absolute correlation Set to a random number between 0 and 1
Analyze	specifies whether to factor the correlation matrix or the covariance matrix.
Correct the covariances or correlations for the means	specifies whether to include the intercept in the analysis. Select this check box to include the intercept in the analysis and to correct the covariances or correlations for the mean.
Specify a prefix to label the factors	specifies a prefix for naming the factors. By default, the names are Factor1, Factor2, …, Factorn. If you specify ABC as the prefix, the factors are named ABC1, ABC2, ABC3, and so on.
Heywood cases: Set communalities to 1 that are greater than 1	sets any communality that is greater than 1 to 1. Note: This option is available if you select Alpha factor analysis, Iterated principal factor analysis, Maximum likelihood, or Unweighted least squares factor analysis as the factor extraction method.
Specify the maximum number of iterations	specifies the maximum number of iterations for factor extraction. Note: This option is available if you select Alpha factor analysis, Iterated principal factor analysis, Maximum likelihood, or Unweighted least squares factor analysis as the factor extraction method.
Rotation
Rotation method and Select type of rotation	specifies the rotation method to use. If you select any of these rotation methods, you can also specify an orthogonal or oblique rotation: Biquartimax Equamax Factor parsimax Parsimax Promax Quartimax Varimax
Details
Method to normalize factor pattern rows	specifies the method for normalizing the rows of the factor pattern for rotation. You can specify the maximum number of rotation cycles.
Statistics
Specify the statistics to display in the results. In addition to the default statistics, you can also include these statistics: descriptive statistics correlations residual correlations eigenvectors factor scoring coefficients Kaiser’s measure of sampling adequacy You can also specify whether to display factor loadings with the largest absolute loading first and whether to display small correlations and factor loadings.
Plots
By default, the eigenvalue by component (scree) plot and a plot of the variance explained are displayed in the results. You can also include these additional plots in the output: unrotated loadings plots. rotated loadings plots, which are available only if you select a rotation method. a path diagram. The path diagram is for the last factor model. The last factor model refers to the initial factor solution if you do not specify a rotation. The path diagram shows the links between factors and variables, the factor correlations, and the error variances in the model. The path diagram does not display all nonzero directed links between factors and variables; it displays only those directed links that have factor loading estimates at 0.3 or larger in magnitude. To change this minimum value, select the Specify the criterion to display paths check box.