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. 2019 Mar 22;7:18. doi: 10.1186/s40359-019-0293-0

Table 3.

Factor correlation matrix a

Factor 1 2 3 4
1 1000  –0,380 –0,459 0,279
2 –0,380 1000 0,259 0,017
3 –0,459 0,254 1000 -0,157
4 0,279 0,017 -0,157 1000

Extraction Method: Unweighted Least Squares. Rotation Method: Oblimin with Kaiser Normalization, Imputation 1

aIf correlations between factors are > 0.3, oblique rotation is the recommended approach because it produces a clearer result than orthogonal