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Here is the principal components analysis, which shows that four factors account for 74% of the variance among the intercorrelations of the 13 issue variables in my cross-national analysis of 121 parties.

This analysis disconfirms the expectation that a single left-right dimension can accommodate party differences in their issue position.

Note that rotating the factors (values in red) produces a different assessment of the importance of the four (unrotated) factors from the principal components analysis (values in blue). This draws attention, in particular, to the third factor from the rotated analysis.

 Total Variance Explained Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings Component Total % of Variance Cumulative % Total % of Variance Cumulative % Total % of Variance Cumulative % 1 4.54 34.92 34.92 4.54 34.92 34.92 3.56 27.37 27.37 2 2.78 21.38 56.30 2.78 21.38 56.30 2.61 20.06 47.43 3 1.27 9.75 66.05 1.27 9.75 66.05 2.26 17.35 64.78 4 1.09 8.38 74.43 1.09 8.38 74.43 1.26 9.65 74.43 5 0.81 6.23 80.66 6 0.64 4.89 85.55 7 0.55 4.20 89.74 8 0.40 3.06 92.80 9 0.31 2.40 95.20 10 0.25 1.90 97.10 11 0.17 1.30 98.39 12 0.12 0.92 99.32 13 0.09 0.68 100.00