Descriptor
| Analysis of Variance | 2 |
| Goodness of Fit | 2 |
| Matrices | 2 |
| Data Analysis | 1 |
| Factor Analysis | 1 |
| Individual Differences | 1 |
| Measurement Techniques | 1 |
| Multidimensional Scaling | 1 |
| Multiple Regression Analysis | 1 |
| Orthogonal Rotation | 1 |
| Stimuli | 1 |
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| Psychometrika | 2 |
Author
| Gower, J. C. | 1 |
| Johnson, Richard M. | 1 |
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Peer reviewedJohnson, Richard M. – Psychometrika, 1975
A simple method of monotone regression is described based on the principle of minimizing pairwise departures from monotonicity. (Author)
Descriptors: Analysis of Variance, Goodness of Fit, Matrices, Measurement Techniques
Peer reviewedGower, J. C. – Psychometrika, 1975
Concerned with another form of analysis of m sets of matrices, the Procrustes idea is generalized so that all m sets are simultaneously translated, rotated, reflected and scaled so that a goodness of fit criterion is optimised. A computational technique is given, results of which can be summarized in analysis of variance form. (RC)
Descriptors: Analysis of Variance, Data Analysis, Factor Analysis, Goodness of Fit
