Principal Components Analysis resources
Principal Components Analysis (Worksheet)
Principal Components Analysis (PCA) is a multivariate technique aimed at reducing the number of variables in your data set so that your new variables (components) are uncorrelated. This teach yourself worksheet gives a very brief introduction to PCA and how to perform this using SPSS. This includes some useful references at the end. Note: The "Analyze" --> "Data Reduction" step in SPSS (see page 2) in SPSS has now been changed to "Analyze" --> "Dimension Reduction"