Descriptor
| Algorithms | 3 |
| Comparative Analysis | 3 |
| Orthogonal Rotation | 3 |
| Factor Analysis | 2 |
| Factor Structure | 2 |
| Matrices | 2 |
| Oblique Rotation | 2 |
| Measurement Techniques | 1 |
| Transformations (Mathematics) | 1 |
Author
| Cureton, Edward E. | 1 |
| Groenen, Patrick | 1 |
| Harris, Chester W. | 1 |
| Harris, Margaret L. | 1 |
| Kiers, Henk A. L. | 1 |
| Mulaik, Stanley A. | 1 |
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| Journal Articles | 1 |
| Reports - Evaluative | 1 |
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Peer reviewedKiers, Henk A. L.; Groenen, Patrick – Psychometrika, 1996
An iterative majorization algorithm is proposed for orthogonal congruence rotation that is guaranteed to converge from every starting point. In addition, the algorithm is easier to program than the algorithm proposed by F. B. Brokken, which is not guaranteed to converge. The derivation of the algorithm is traced in detail. (SLD)
Descriptors: Algorithms, Comparative Analysis, Matrices, Orthogonal Rotation
Peer reviewedHarris, Margaret L.; Harris, Chester W. – Educational and Psychological Measurement, 1971
Descriptors: Algorithms, Comparative Analysis, Factor Analysis, Factor Structure
Peer reviewedCureton, Edward E.; Mulaik, Stanley A. – Psychometrika, 1975
Applications to the Promax Rotation are discussed, and it is shown that these procedures solve Thurstone's hitherto intractable "invariant" box problem as well as other more common problems based on real data. (Author/RC)
Descriptors: Algorithms, Comparative Analysis, Factor Analysis, Factor Structure
