I am doing a Principal Component Analysis on some demographic data. I have extracted four principal components and I hope to find out how each component is characterized by the original variables. I have got component matrix and the component score from SPSS output. Which one should I look at? From what I have seen, the component score is also interpreted as factor loading, and shows the correlation betweeen the original variable and the principal component, is the one that I am looking for. But the component score shows the "weight" of the variables in the principal component, or the new "variable".
Can anyone explain to me the difference and help me choose between the two? Thanks!