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. 2022 Aug 5;10(3):54. doi: 10.3390/jintelligence10030054

Table 7.

Rotated Principal Components Matrix a: Psychometric assessments, SCIT Total with Psychometric Tests, VC, CQS, OE, and TOPI.

Rotated Component
1 2 3
Letter Sets (MP) .22 .86 .06
Figure Classification (MP) .02 .78 .17
SCIT total (MP) .73 .20 .06
Views-on-Culture Item 1 (MP) .72 .27 .16
Views-on-Culture Item 2 (MP) .82 −.02 .13
Views-on-Culture Item 3 (MP) .75 .18 .13
CQS (TP) .11 −.10 .89
Openness to Experience (TP) .20 .32 .59
Test of Personal Intelligence (MP) .38 .58 −.15
Extraction method: Principal Component Analysis.
Rotation method: Varimax with Kaiser Normalization.
a Rotation converged in five iterations.

Note: Three principal components had Eigenvalues greater than 1. Component 1 had an Eigenvalue of 3.41, accounting for 37.94% of the variance in the data. Component 2 had an Eigenvalue of 1.30, accounting for 14.42% of the variance in the data. Component 3 had an Eigenvalue of 1.05, accounting for 11.62% of the variance in the data. Cumulative percent variance accounted for was 63.98%.