Orthogonal Rotation Algorithms
- 1 June 1970
- journal article
- Published by Cambridge University Press (CUP) in Psychometrika
- Vol. 35 (2) , 229-235
- https://doi.org/10.1007/bf02291264
Abstract
The quartimax and varimax algorithms for orthogonal rotation attempt to maximize particular simplicity criteria by a sequence of two-factor rotations. Derivations of these algorithms have been fairly complex. A simple general theory for obtaining “two factor at a time” algorithms for any polynomial simplicity criteria satisfying a natural symmetry condition is presented. It is shown that the degree of any symmetric criterion must be a multiple of four. A basic fourth degree algorithm, which is applicable to all symmetric fourth degree criteria, is derived and applied using a variety of criteria. When used with the quartimax and varimax criteria the algorithm is mathematically identical to the standard algorithms for these criteria. A basic eighth degree algorithm is also obtained and applied using a variety of eighth degree criteria. In general the problem of writing a basic algorithm for all symmetric criteria of any specified degree reduces to the problem of maximizing a trigonometric polynomial of degree one-fourth that of the criteria.Keywords
This publication has 2 references indexed in Scilit:
- The varimax criterion for analytic rotation in factor analysisPsychometrika, 1958
- THE QUARTIMAX METHODBritish Journal of Statistical Psychology, 1954