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# Questions tagged [factor-rotation]

Linear transformation of factors in a factor analysis (or PCA) solution, usually done to improve interpretability. Factor rotation methods include varimax, promax, oblimin, etc.

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### Variance after factor analysis in Stata [duplicate]

I run a factor analysis in Stata (-factor- command) and get the eigenvalues for each factor. Then, I do a rotation, and the table presents not the eigenvalues, but the variance. I have two questions: ...
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### Specifics of varimax criterion

The varimax criterion maximises high and low value factor loadings and minimises mid-value factor loadings, in order to achieve the maximum value for its objective function. How does doing this ensure ...
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### How does varimax work

I have some questions regarding how varimax works. I read that given an n by k matrix A, the k by k orthogonal matrix B maximises the varimax criterion, which measures the difference of these 2 terms: ...
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### Predict score based on rotated PCA

I have done a varimax rotated PCA on my "test" dataset. I would like to use this PCA (i.e. the varimax rotated PCA) on a new dataset and predict the scores. This function ...
1 vote
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### Extrapolate Principal Components Factors with other variables in the components

Hi StackExchange Community, I am performing a Principal Components Analyses (PCA). I would like to know how to extrapolate some PCA components with other variables that were not considered in the PCA ...
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### Can one variable load onto different components in (varimax-rotated) PCA?

I performed PCA on 33 items with 133 observations. Considering the criteria to take components with eigenvalues >1, 4 factors can be extracted. I then did varimax rotation of those. However, I ...
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### {R Psych Package} Factor Rotation Appears to Lower Proportion of Variance Explained?

This issue arose using R's psych package, specifically the fa function, but the problem is a ...
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### What are the differences between (varimax and promax) rotations in PCA? [duplicate]

What are the differences between varimax and promax rotations in PCA?
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### Principal component analysis when original variables hardly correlate

I am fairly familiar with the practical application of principal component analysis (PCA). PCA tries to find the first PC, for example, by minimization of the sum of squared perpendicular distances of ...
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### PCA rotation and principal component scores [duplicate]

This is my first post so apologies for any incorrect formatting or whether this has been answered elsewhere but I seem to be going around in circles. Basically, I have 12 survey plots and have ...
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### Is my data eligible for PCA?

I have a data set in which each subject answered a subset of questions in response to visual stimuli (picture rating). At the beginning of the experiment, every subject got assigned 2 out of 16 ...
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### What is the difference between PCA and PAF method in factor analysis?

What is the difference between principal component analyses (PCA) and principal axis factoring (PAF)? Also, I understand the difference between varimax and oblimin rotations, but is that the same as ...