eigen Factor Views
Display table or graph of eigenvalues of observed, scaled observed, or reduced covariance matrix.
Syntax
factor_name.eigen(options)
By default, eigen will display a table of eigenvalues for the specified source matrix. You may add the option keywords “eigvec” and “matrix” to include additional output.
To display a graph of the results, you should some combination of the “scree”, “diff” and “cproport” option keywords.
Options

 source=arg (default= “observed”) Source matrix to be analyzed: “observed” (observed covariance matrix), “scaled” (scaled observed matrix), “reducedinit” (reduced using initial uniquenesses), “reduced” (reduced using final uniquenesses). eigvec Add the eigenvectors to the table of eigenvalue results. May be combined with the “matrix” keyword. matrix Display the source matrix along with the table of eigenvalue results. May be combined with the “eigvec” keyword. scree Display eigenvalue graph of the ordered eigenvalues (Scree plot). May be combined with the “diff” and “cproport” keywords. diff Display graph of the difference in successive eigenvalues. May be combined with the “scree” and “cproport” keywords. cproport Display graph of the cumulative proportion of total variance associated with each eigenvalue/eigenvector. May be combined with the “scree” and “diff” keywords. prompt Force the dialog to appear from within a program. p Print results.
Examples
f1.eigen(source=observed, scree)
displays the scree plot based on the observed covariance matrix.
f1.eigen(source=reducedinit, eigvec, matrix)
displays a table of eigenvalues and corresponding eigenvectors for the reduced covariance matrix (using the initial uniquenesses). The table also shows the reduced covariance matrix.
f1.eigen(source=reducedinit, scree, cproport, diff)
shows the scree, cumulative proportion, and eigenvalue difference graphs based on the reduced initial covariance.
Cross-references
See “Eigenvalues”.