Discussion
The PCA shall :
Answer: D
The PCA will result in a general factor.
Principal component analysis extracts components in order of the variance they account for, so the first unrotated component is the single dimension that captures the most variance shared by all eight variables. Most variables load on it, which makes it a general factor; rotation is then used to break it into more interpretable factors.
The other options are wrong. PCA components are orthogonal, not oblique, before rotation. PCA extracts the maximum possible variance, more than principal axis factoring, which analyses only the common variance. And a full PCA solution, with as many components as variables, accounts for 100% of the variance, not less.
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