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| Algorithms | 2 |
| Proximity | 2 |
| Psychometrics | 2 |
| Cluster Analysis | 1 |
| Diagrams | 1 |
| Goodness of Fit | 1 |
| Mathematical Models | 1 |
| Monte Carlo Methods | 1 |
| Network Analysis | 1 |
| Scaling | 1 |
| Transformations (Mathematics) | 1 |
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| Psychometrika | 2 |
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| Journal Articles | 2 |
| Reports - Evaluative | 2 |
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Peer reviewedDeSarbo, Wayne S.; And Others – Psychometrika, 1990
A nonspatial operationalization of the Krumhansl distance-density model of similarity is presented. The conceptual model and empirical evidence are reviewed. A nonspatial, tree-fitting methodology is described, which is sufficiently flexible to fit several competing hypotheses of similarity formation. Extensions to spatial models, three-way…
Descriptors: Algorithms, Cluster Analysis, Goodness of Fit, Mathematical Models
Peer reviewedHutchinson, J. Wesley – Psychometrika, 1989
A Monte Carlo simulation and applications to eight sets of proximity data are presented to support the practical utility of a network scaling algorithm (NETSCAL)--NETwork SCALing. The algorithm determines which vertices within a network are directly connected by an arc and estimates the length of each arc. (TJH)
Descriptors: Algorithms, Diagrams, Monte Carlo Methods, Network Analysis
