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. 2019 Mar 26;10:645. doi: 10.3389/fpsyg.2019.00645

Table 5.

Differences in Varimax criterion between GPR-Varimax and SPSS-Varimax component rotation for double-optimum simple structure.

25 iterations
250 iterations
GPR start No With No With
k N loadings Kaiser Kaiser Kaiser Kaiser
3 100 Unrotated
Random 1
Random 10
300 Unrotated
Random 1
Random 10 0.0001
6 100 Unrotated
Random 1
Random 10
300 Unrotated
Random 1
Random 10 0.0001 0.0001
9 100 Unrotated
Random 1
Random 10
300 Unrotated
Random 1
Random 10
12 100 Unrotated
Random 1
Random 10
300 Unrotated
Random 1
Random 10

GPR, gradient-projection based rotation. k, number of components. With Kaiser, loadings were Kaiser normalized before rotation. No Kaiser, non-normalized loadings. Differences refer to the mean Varimax criterion of 1,000 samples and were computed as GPR-mean – SPSS-mean. Differences of |Δ|≥ 0.0001 are reported, otherwise results are considered equal (“—”). A positive sign means that GPR-Varimax was better than SPSS-Varimax and vice versa.