What do the results displayed in "Factor Analysis" mean?
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We will explain this using an example from the manual "Multivariate Analysis."
| result | meaning |
| Factor loadings before rotation * | This represents the correlation coefficient between the principal components and the original data. |
| Rotation matrix * | This indicates the rotation matrix when rotating the principal components. |
| Final commonality estimates | It indicates 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 percent contribution, and its cumulative percent contribution. |
| Rotated factor loadings | Shows the correlation coefficient between the rotated components and the original data. |
*: This will be displayed if you check the option.
FAQ #3302
This post originally written in Japanese and has been translated for your convenience. When you reply, it will also be translated back to Japanese.