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What do the results displayed in "Factor Analysis" mean?

We will explain this using an example from the manual "Multivariate Analysis."

因子分析Factor analysis

result	meaning
Factor loadings before rotation ^*	This represents the correlation coefficient between the principal components and the original data.
Rotation matrix ^*	Indicates the rotation matrix when rotating the principal components.
Final communality estimates	It shows the proportion of the original variables that can be explained by the rotated components (factors).
Standardized score coefficient ^*	This is the coefficient used to calculate the score of the component (factor) after rotation. The coefficients are standardized to have a variance of 1.
Variance explained by each factor	Displays the variance explained by each rotated factor, its contribution, and its cumulative contribution.
Rotated factor loadings	Shows the correlation coefficient between the rotated components and the original data.