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As a rotation method, Varimax was chosen.
Oblique rotation with Promax was used as a rotation method.
The factor analyses were performed by SPSS with Varimax, with Kaiser normalisation as a rotation method.
This study uses principal component as an extraction method and VARIMAX as a rotation method.
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Using a rotation method, 400 frames were recorded each covering 0.5° of rotation.
Results of EFA by using principal axis factoring (PAF) as extraction method and Promax as rotation method are presented in Additional file 1: Appendix 1.
Varimax normalization was used as the rotation method.
Thus, it could be recommendable to choose an oblique rotation method, as done by Bernabé et al [ 16], in which the factors are not orthogonal; that is, they are inter-correlated, which is exactly what was found in the present study and what has been discussed by several authors [ 15- 17, 25- 29].
A factor analysis (principle component analysis, oblimin with Kaiser normalisation as rotation method), based on these 771 assessments was performed.
Oblique rotation was used as rotation method (direct oblim with δ = 0).
Maximum Likelihood (ML) was chosen as the model-fitting method [ 42, 43] and we decided for an oblique rotation method (direct oblimin rotation), because the statistical independence of epistemic dimensions in the sense of uncorrelated factors is questionable.
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