Factor Analysis is primarily used for data reduction or structure detection.

  • The purpose of data reduction is to remove redundant (highly correlated) variables from the data file, perhaps replacing the entire data file with a smaller number of uncorrelated variables.
  • The purpose of structure detection is to examine the underlying (or latent) relationships between the variables.