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Varimax rotation

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Varimax rotation is a change of coordinates used in principal component analysis that maximizes the sum of the variance of the loading vectors. That is, it seeks a basis such that most economically represents each individual—that each individual can be well described by a linear combination of only a few basis functions.

Suggested by Henry Felix Kaiser in 1958, it is a popular scheme for orthogonal rotation which cleans up the factors as follows: "for each factor, high loadings (correlations) will result for a few variables; the rest will be near zero."

The advantages and disadvantages of the technique is discussed at the website of Columbia University [1].

Varimax rotation in personality research[]

See also[]

References[]

  1. ↑ Singular Value Decomposition. URL accessed on 20 September, 2008.

Further reading[]

Books[]

  • Lee, H. B. (1979). An empirical comparison of some factor analytic methods. Lee, Howard B : U California, Los Angeles.
  • Newton, B. E. (2001). A critical study of the varimax rotation method, with a comparison to Bieber's invariance solution for one-sample. Newton, Brian Edward: U Wyoming, US.


Paper[]

Adachi, K. (2004). Oblique Promax Rotation Applied to the Solutions in Multiple Correspondence Analysis. Behaviormetrika, 31(1), 1-12.

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External links[]


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