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SAS/STAT Software

FACTOR Procedure


The FACTOR procedure performs a variety of common factor and component analyses and rotations. The following are highlights of the procedure's features:

  • supports the following factor extraction methods:
    • principal component analysis
    • principal factor analysis
    • iterated principal factor analysis
    • unweighted least squares factor analysis
    • maximum likelihood (canonical) factor analysis
    • alpha factor analysis
    • image component analysis
    • Harris component analysis
  • supports the following rotation methods:
    • varimax
    • quartimax
    • biquartimax
    • equamax
    • parsimax
    • factor parsimax
    • quartimin
    • biquartimin
    • covarimin
    • orthomax with user-specified gamma
    • Crawford-Ferguson family with user-specified weights on variable parsimony and factor parsimony
    • generalized Crawford-Ferguson family with user-specified weights
    • direct oblimin with user-specified tau
    • Crawford-Ferguson family with user-specified weights on variable parsimony and factor parsimony
    • generalized Crawford-Ferguson family with user-specified weights
    • promax with user-specified exponent
    • Harris-Kaiser case II with user-specified exponent
    • Procrustes with a user-specified target pattern
  • provides a variety of methods for prior communality estimation
  • input can be multivariate data, a correlation matrix, a covariance matrix, a factor pattern, or a matrix of scoring coefficients
  • enables you to factor either the correlation or covariance matrix
  • processes output from other procedures
  • produces the following output:
    • means
    • standard deviations
    • correlations
    • Kaiser's measure of sampling adequacy
    • eigenvalues
    • a scree plot
    • path diagrams
    • eigenvectors
    • prior and final communality estimates
    • the unrotated factor pattern
    • residual and partial correlations
    • the rotated primary factor pattern
    • the primary factor structure
    • interfactor correlations
    • the reference structure
    • reference axis correlations
    • the variance explained by each factor both ignoring and eliminating other factors
    • plots of both rotated and unrotated factors
    • squared multiple correlation of each factor with the variables
    • standard error estimates
    • confidence limits
    • coverage displays
    • scoring coefficients
  • performs BY group processing, which enables you to obtain separate analyses on grouped observations
  • enables you to use relative weights for each observation in the input data set
  • creates a SAS data set that corresponds to any table
  • automatically creates graphs by using ODS Graphics

For further details see the SAS/STAT User's Guide: The FACTOR Procedure
( PDF | HTML )

Examples