 In either centroid or principal components analysis (PCA) the first factor scores are created by multiplying each rating by the correlation of the factor (usually the mean of all standardized ratings for each person) against each item's ratings.This multiplication weights each item by the correlation of the pattern of individual differences on each item (the component scores).If consensus is unevenly distributed over these items, some items may be more focused on the overall issues of the common factor.