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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