PCA is included in the SPSS package as a data reduction technique. It takes a large set of
variables and looks for a way that the data may be reduced or summarized using a smaller
set of factor or component. In principal component analysis the original variables are
transformed into a smaller set of linear combinations, with all of the variance in the
variables being used (Pallant, 2005).