**principal axis factoring**, a theoretical statistical method used to analyze common variance. Principal axis factoring, also known as

**principal factor analysis**or

**common factor analysis**, is the most commonly used method in factor analysis. According to Wikipedia, it "seeks the least number of factors which can account for the common variance (correlation) of a set of variables". Factors are determined through the analysis of the common variance.

This concept of factor analysis is beyond the concepts that I would like to explain on my blog. It is much more of a university-level statistics concept than any of the other concepts that I have described so far. If you would like a more thorough explanation of principal axis factoring, I highly suggest that you perform a Google search or find a good reference text book. I mention it here only because of my recent posts on methods of factoring, and I was asked to specifically to reference this factoring method.

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