A comparison of four procedures for estimating common factor measurements was made using artificially synthesized "data" matrices. Score estimates were compared with respect to how well they approximated associated true factor scores and the extent of shrinkage in double cross-validation based on random samples. The Horst (1965), Bartlett (1937),…

Four prominent oblique transformation techniques--biquartimin, direct oblimin, promax, and the Harris-Kaiser procedure--are described and compared as to optimality of solution. Additionally, two newly-developed procedures--falling into the category designated as Case III by Harris and Kaiser (1964)--are presented and included in the comparisons.…

The oblimax, promax, maxplane, and Harris-Kaiser techniques are compared. (Author)

In this paper 12 blind transformation procedures are applied to 18 data sets. The results of the analyses indicate that the orthotran transformation solution is not restricted to particular types of data as are so many other transformation solutions. The evidence presented in this paper strongly suggests that the orthotran solution must be…

Under some circumstances, it is desirable to compare the factor patterns obtained from different factor analyses. To date, the best method of simultaneously achieving simple structure and maximum similarity is the technique devised by Bloxom (1968). This technique simultaneously rotates different factor patterns to maximum similarity and varimax…