Hi all,
I was to test if individual's dimensional scores derived from principal component analysis (PCA) predicts an individual's spherical equivalence measure (gold standard clinical measurement for refractive error). To make clearer, i did a PCA using five variables and obtained individual's scores on PC1 and PC2 (where both of these components explained 74% of the variance). Categorical methods of agreement analysis will be possible after categorizing both the PCs and the clinical measurement, but I wonder if there is an alternative method which can fit with these numerical measurements having different scales. I thought Bland-Altman, Intraclass correlation coefficient , Lin's concordance correlation coefficient etc are applicable to same measuring scales.
Simply, my question is similar to "Can we perform an agreement analysis how weight (kg) can predict height (cm)?"
Thanks