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| Mathematical Models | 4 |
| Multiple Regression Analysis | 4 |
| Transformations (Mathematics) | 4 |
| Computer Programs | 3 |
| Mathematics | 3 |
| Statistical Analysis | 3 |
| Analysis of Variance | 2 |
| Algorithms | 1 |
| Educational Policy | 1 |
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| Capra, J. R. | 1 |
| Elster, R. S. | 1 |
| Kruskal, J. B. | 1 |
| Pennell, Roger | 1 |
| Rasher, Sue Pinzur | 1 |
| Walberg, Herbert J. | 1 |
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Peer reviewedKruskal, J. B. – Psychometrika, 1971
Descriptors: Mathematical Models, Mathematics, Multiple Regression Analysis, Statistical Analysis
Peer reviewedCapra, J. R.; Elster, R. S. – Educational and Psychological Measurement, 1971
This method of generating multivariate data differs from previous techniques in that it uses Crout factorization to develop the desired variance-covariance matrix. (Author/CK)
Descriptors: Computer Programs, Mathematical Models, Mathematics, Multiple Regression Analysis
Download full textPennell, Roger – 1970
A model and a computer program for performing conjoint measurement is developed. (AG)
Descriptors: Algorithms, Analysis of Variance, Computer Programs, Goodness of Fit
Peer reviewedWalberg, Herbert J.; Rasher, Sue Pinzur – Journal of Educational Statistics, 1976
Cut-and-try techniques that point to appropriate transformations of variables and to the selection of sets of variables for an equation that may improve understanding of a social process are illustrated. (MV)
Descriptors: Analysis of Variance, Computer Programs, Educational Policy, Educational Research
