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| Goodness of Fit | 5 |
| Individual Differences | 5 |
| Multidimensional Scaling | 5 |
| Mathematical Models | 3 |
| Data Analysis | 2 |
| Factor Analysis | 2 |
| Stimuli | 2 |
| Algorithms | 1 |
| Analysis of Variance | 1 |
| Computer Programs | 1 |
| Correlation | 1 |
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| Davison, Mark L. | 1 |
| Fenker, Richard | 1 |
| Gower, J. C. | 1 |
| Harris, David R. | 1 |
| Langeheine, Rolf | 1 |
| MacCallum, Robert C. | 1 |
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| Journal Articles | 1 |
| Reports - Research | 1 |
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Peer reviewedHarris, David R.; Fenker, Richard – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Goodness of Fit, Individual Differences, Multidimensional Scaling
Peer reviewedLangeheine, Rolf – Psychometrika, 1982
The degree to which Procrustean Individual Differences Scaling can be extended to related topics such as target analysis is discussed and a Monte Carlo study investigating the fit of the model under various conditions is presented. (JKS)
Descriptors: Data Analysis, Goodness of Fit, Individual Differences, Mathematical Models
Peer reviewedMacCallum, Robert C. – Psychometrika, 1976
Concerned with consequences of employing the INDSCAL model when one of its assumptions are known to be violated. Under study is the notion that all individuals perceive the object space dimensions to be independent. (RC)
Descriptors: Factor Analysis, Goodness of Fit, Individual Differences, Mathematical Models
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
Peer reviewedDavison, Mark L. – Psychometrika, 1976
Proposes a quadratic programming, least squares solution to Carroll's weighted unfolding model with nonnegativity constraints imposed on weights. It can be used to test various hypotheses about the weighted unfolding model with or without constraints. (RC)
Descriptors: Algorithms, Correlation, Goodness of Fit, Hypothesis Testing


