Hierarchical Factoring Based On Image Analysis And Orthoblique Rotations
Lazar Stankov · Multivariate Behavioral Research · 1979
The procedure for hierarchical factoring suggested by Schmid and Leiman (1957) is applied within the framework of image analysis and orthoblique rotational procedures. It is shown that this approach necessarily leads to correlated higher order factors. Also, one can obtain a smaller number of factors than produced by typical hierarchical procedures.