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.