Component - There are as many components extracted during a principal components analysis as there are variables that are put into it.
Initial Eigenvalues - Eigenvalues are the variances of the principal components. Because we conducted our principal components analysis on the correlation matrix, the variables are standardized, which means that the each variable has a variance of 1, and the total variance is equal to the number of variables used in the analysis.
% of Variance - This column contains the percent of variance accounted for by each principal component.
Cumulative % - This column contains the cumulative percentage of variance accounted for by the current and all preceding principal components. All variance is considered to be true and common variance. In other words, the variables are assumed to be measured without error, so there is no error variance.
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