Descriptor
| Factor Structure | 5 |
| Statistical Analysis | 5 |
| Factor Analysis | 4 |
| Matrices | 2 |
| Oblique Rotation | 2 |
| Sampling | 2 |
| Transformations (Mathematics) | 2 |
| Comparative Analysis | 1 |
| Computer Programs | 1 |
| Correlation | 1 |
| Criteria | 1 |
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Source
| Psychometrika | 5 |
Author
| Hakstian, A. Ralph | 1 |
| Hubert, Lawrence | 1 |
| Katz, Jeffrey Owen | 1 |
| McDonald, R. P. | 1 |
| Rohlf, F. James | 1 |
| Tucker, Ledyard R. | 1 |
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Peer reviewedHubert, Lawrence – Psychometrika, 1974
Descriptors: Factor Structure, Nonparametric Statistics, Sampling, Statistical Analysis
Peer reviewedMcDonald, R. P. – Psychometrika, 1974
It is shown that common factors are not subject to indeterminancy to the extent that has been claimed (Guttman, 1955), because the measure of indeterminancy that has been adopted is ill-founded. (Author/RC)
Descriptors: Factor Analysis, Factor Structure, Matrices, Models
Peer reviewedKatz, Jeffrey Owen; Rohlf, F. James – Psychometrika, 1974
Descriptors: Computer Programs, Criteria, Factor Analysis, Factor Structure
Peer reviewedTucker, Ledyard R. – Psychometrika, 1972
Descriptors: Factor Analysis, Factor Structure, Mathematical Models, Mathematics
Peer reviewedHakstian, A. Ralph – Psychometrika, 1971
The oblimax, promax, maxplane, and Harris-Kaiser techniques are compared. (Author)
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure


