+ Descriptives T-Tests ANOVA Mixed Models Regression Frequencies Factor Audit Bain Distributions JAGS Machine Learning Component Loadings V Principal Component Analysis + X RC1 RC2 Uniqueness V1 Variables item1 0.9553 0.0896 item1 item2 0.9710 0.0570 item 3 0.9112 0.1679 item2 item4 0.8380 0.2986 item3 item5 0.6838 0.5305 item4 item6 0.8811 0.2219 item5 item7 0.7759 0.3844 item8 0.8043 0.3546 item6 itemg 0.9002 0. 1921 item7 item 10 ).9054 0.1799 item8 Note. Applied rotation method is promax. item9 Number of Components Rotation Component Characteristics O Parallel analysis Orthogonal Eigenvalue Proportion var. Cumulative O Eigenvalues none RC1 4.6179 0.4618 0.4618 Eigenvalues above 1 O Oblique RC2 2.9055 0.2906 0.7523 Manual promax Number of components 1 Base decomposition on O Correlation matrix Scree plot O Covariance matrix 5 . Data 4 Output Options Simulated (95th quantile) Highlight Table 3 Eigenvalue Factor correlations . . . Plots - N Path diagram Scree plot 0 0.4 0 2 4 6 8 10 Missing Values O Exclude cases pairwise Component